2022

A. K. Jha, T. J. Bradshaw, I. Buvat, M. Hatt, P. Kc, C. Liu, N. F. Obuchowski, B. Saboury, P. J. Slomka, J. L. Sunderland, R. L. Walk, Z. Yu, S. Zuehlsdorff, A. Rahmim, R. Boellaard
Artificial intelligence in nuclear medicine: best practices for evaluation (the RELIANCE guidelines)
J. Nucl. Med., Accepted, 2022. 
H. Abdollahi, E. Chin, H. Clark, D. E. Hyde, S. Thomas, J. Wu, C. F. Uribe, A. Rahmim
Radiomicsguided radiation therapy: opportunities and challenges
Phys. Med. Biol., Accepted, 2022. 
F. M. Kashkooli, M. A. Abazari, M. Soltani, M. Akbarpour, A. Rahmim
Spatiotemporal multiscale computational model for FDG PET imaging at different stages of tumor growth and angiogenesis
Scientific Reports, Accepted, 2022. 
W. Lv, H. Xu, X. Han, H. Zhang, J. Ma, A. Rahmim, L. Lu
Contextaware saliency guided radiomics: application to prediction of outcome and HPVstatus from multicenter PET/CT images of head and neck cancer
Cancers, vol. 14, pp. 1674, 2022 
H. Keller, T. Shek, B. Driscoll, Y. Xu, B. Nghiem, S. Nehmeh, M. Grkovski, C. R. Schmidtlein, M. Budzevich, Y. Balagurunathan, J. J. Sunderland, R. R. Beichel, C. Uribe, TY. Lee, F. Li, D. A. Jaffray, I. Yeung
Noisebased image harmonization significantly increases repeatability and reproducibility of radiomics features in PET images: a phantom study
Tomography, vol. 8, pp. 11131128, 2022. 

I. Shiri et al.
COVID19 prognostic modeling using CT radiomic features and machine learning algorithms: analysis of a multiinstitutional dataset of 14,339 patients
Comp. Biol. Med., Accepted for Publication, 2022 
I. S. Klyuzhin, Y. Xu, A. Ortiz, J. M. L. Ferres, G. Hamarneh, A. Rahmim
Testing the ability of convolutional neural networks to learn radiomic features
Comp. Meth. Prog. Biomed., In Press, 2022 
I. Shiri, A. V. Sadr, M. Amini, Y. Salimi, A. Sanaat, A. Akhavanallaf, B. Razeghi, S. Ferdowsi, A. Saberi, H. Arabi, M. Becker, S. Voloshynovskiy, D. Gunduz, A. Rahmim, H. Zaidi
Decentralized distributed multiInstitutional PET segmentation using a federated deep learning framework
Clinic. Nucl. Med., In Press, 2022 
JM. Beauregard and A. Rahmim
Harmonization of nomenclature for molecular imaging metrics of tumour burden: molecular tumour volume (MTV), total lesion activity (TLA) and total lesion fraction (TLF)
Euro. J. Nucl. Med. Mol. Imag., vol. 49, 424426, 2022  R. Fedrigo, D. J. Kadrmas, P. E. Edem, L. Fougner, I. S. Klyuzhin, M. P. Petric, F. Bénard, A. Rahmim, C. Uribe
Quantitative evaluation of PSMA PET imaging using a realistic anthropomorphic phantom and shellless radioactive epoxy lesions
EJNMMI Physics, vol. 9, pp. 2, 2022  M. PeerFirozjaei, M. TajikMansoury, P. Geramifar, R. Ghorbani, S. Zarifi, C. Miller, A. Rahmim
Optimized cocktail of 90Y/177Lu for radionuclide therapy of neuroendocrine tumors of various sizes: a simulation study
Nucl. Med. Comm., In Press, 2022  I. Shiri, M. Amini, M. Nazari, G. Hajianfar, A. Haddadi Avval, H. Abdollahi, M. Oveisi, H. Arabi, A. Rahmim, H. Zaidi
Impact of feature harmonization on radiogenomics analysis: prediction of EGFR and KRAS mutations from nonsmall cell lung cancer PET/CT images
Comp. Biol. Med., vol. 142, 112, 2022  T. J. Bradshaw, R. Boellaard, J. Dutta, A. K. Jha, P. Jacobs, Q. Li, C. Liu, A. Sitek, B. Saboury, P. J. H. Scott, P. J. Slomka, J. J. Sunderland, R. L. Wahl, F. Yousefirizi, S. Zuehlsdorff, A. Rahmim, I. Buvat
Nuclear medicine and artificial intelligence: Best practices for algorithm development
J. Nucl. Med, vol. 63, pp. 500510, 2022  V. Oreiller, V. Andrearczyk, M. Jreige, S. Boughdad, H. Elhalawani, J. Castelli, M. Vallieres, S. Zhu, J. Xie, Y. Peng, A. Iantsen, M. Hatt, Y. Yuani, J. Ma, X. Yang, C. Rao, S. Pai, K. Ghimire, X. Feng, M. A. Naser, C. D. Fuller, F. Yousefirizi, A. Rahmim, H. Chen, L. Wang, J. O. Prior, A. Depeursinge
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge
Medical Image Analysis, vol. 77, pp. 102336, 2022  C. Miller, J. Rousseau, C. F. Ramogida, A. Celler, A. Rahmim, C. F. Uribe
Implications of physics, chemistry and biology for dosimetry calculations using theranostic pairs
Theranostics, vol. 12, 232259, 2022  N. Hasani, M. A. Morris, A. Rahmim, R. M. Summers, E. Jones, E. Siegel, B. Saboury
Trustworthy artificial intelligence in medical imaging
PET Clinics, vol 17, pp. 112, 2022  N. Hasani, F. Farhadi, M. A. Morris, M. Nikpanah, A. Rahmim, Y. Xu, A. Pariser, M. T. Collins, R. M. Summers, E. Jones, E. Siegel, B. Saboury
Artificial intelligence in medical imaging and its impact on the rare disease community: threats, challenges and opportunities
PET Clinics, vol 17, pp. 1329, 2022  K. A. Zukotynski, V. C. Gaudet, C. F. Uribe, K. Chiam, F. Bénard, V. H. Gerbaudo
Clinical applications of artificial intelligence in positron emission tomography of lung cancer
PET Clinics, vol 17, pp. 7784, 2022  K. Ma, S. A. Harmon, I. S. Klyuzhin, A. Rahmim, B. Turkbey
Clinical application of artificial intelligence in positron emission tomography: imaging of prostate cancer
PET Clinics, vol. 17, pp. 137–143, 2022  N. Hasani, S. S. Paravastu, F. Farhadi, F. Yousefirizi, M. A. Morris, A. Rahmim, M. Roschewski, R. M. Summers, B. Saboury
Artificial intelligence in lymphoma PET imaging: A scoping review (current trends and future directions)
PET Clinics, vol. 17, pp. 145174, 2022  F. Yousefirizi, P. Decasez, A. Amyar, S. Ruan, B. Saboury, A. Rahmim
AIbased detection, classification and prediction/prognosis in medical imaging: Towards radiophenomics (arXiv)
PET Clinics, vol. 17, pp. 183212, 2022  M. R. Salmanpour, M. Shamsaei, G. Hajianfar, H. SoltanianZadeh, A. Rahmim
Longitudinal clustering analysis and prediction of Parkinson’s disease progression using radiomics and hybrid machine learning
Quan. Imag. Med. Surg., vol. 12, pp. 906919, 2022  I. Mohammadi, I. Castro, A. Rahmim, J. Veloso
Motion in nuclear cardiology imaging: types, artifacts, detection and correction techniques
Phys. Med. Biol, vol. 67, pp. 02TR02, 2022
2021
 N. Fasaeiyan, M. Soltani, F. Moradi Kashkooli, E. Taatizadeh, A. Rahmim
Computational modeling of FDG PET tracer distribution in solid tumors integrating microvasculature
BMC Biotechnology, vol. 21, pp. 67, 2021  C. Uribe, A. Peterson, B. Van, R. Fedrigo, J. Carlson, J. Sunderland, E. Frey, Y. K Dewaraja
An international study of factors affecting variability of dosimetry calculations, part 1: design and early results of the SNMMI dosimetry challenge
J. Nucl. Med, vol. 62 (suppl. 3), pp. 36S47S, 2021  M Amini, M. Nazari, I. Shiri, G. Hajianfar, M. R. Deevband, H. Abdollahi, H. Arabi, A. Rahmim, Habib Zaidi
Multilevel multimodality (PET and CT) fusion radiomics: Prognostic modeling for nonsmall cell lung carcinoma
Phys. Med. Biol, vol. 66, pp. 205017, 2021  A. Toosi, A. G. Bottino, B. Saboury, E. Siegel, A. Rahmim
A brief history of AI: how to prevent another winter (a critical review) (arXiv)
PET Clinics, vol. 16, pp. 449469, 2021  A. Sitek, S. Ahn, E. Asma, A. Chandler, A. Ihsani, S. Prevrhal, A. Rahmim, B. Saboury, K. Thielemans
Artificial intelligence in PET: an industry perspective (arXiv)
PET Clinics, vol. 16, pp. 483492, 2021  A. K. Jha, K. J. Myers, N. A. Obuchowski, Z. Liu, Md Ashequr Rahman, B. Saboury, A. Rahmim, B. A. Siegel
Objective taskbased evaluation of artificial intelligencebased medical imaging methods: Framework, strategies and role of the physician (arXiv)
PET Clinics, vol. 16, pp. 493511, 2021  F. Yousefirizi, A. Jha, J. BroschLenz, B. Saboury, A. Rahmim
Toward highthroughput artificial intelligencebased segmentation in oncological PET imaging (arXiv)
PET Clinics, vol. 16, pp. 577596, 2021  F. Orlhac, C. Nioche, I. Klyuzhin, A. Rahmim, I. Buvat
Radiomics in PET imaging: a practical guide for newcomers (preprint)
PET Clinics, vol. 16, pp. 597–612, 2021  J. BroschLenz, F. Yousefirizi, K. Zukotynski, JM. Beauregard, V. Gaudet, B. Saboury, A. Rahmim, C. Uribe
Role of artificial intelligence in theranostics: toward routine personalized radiopharmaceutical therapies (arXiv)
PET Clinics, vol. 16, pp. 627641, 2021  F. Moradi Kashkooli, M. Soltani, M. M. Momeni, A. Rahmim
Enhanced drug delivery to solid tumors via drugloaded nanocarriers: an imagebased computational framework
Frontiers in Oncology, vol. 11, pp. 655781, 2021  Y. Bouchareb, P. Moradi Khaniabadi, F. Al Kindi, H. Al Dhuhli, I. Shiri, H. Zaidi, A. Rahmim
Artificial intelligencedriven assessment of radiological images for COVID19
Comp. Biol. Med., vol. 136, pp. 104665, 2021  Y. Zhu, M. Bilgel, Y. Gao, O. G. Rousset, S. M. Resnick, D. F. Wong, A. Rahmim
Deconvolutionbased partial volume correction of PET images with parallel level set regularization
Phys. Med. Biol., vol. 66, pp. 145003, 2021  Y. Gao, Y. Zhu, M. Bilgel, S. Ashrafinia, L. Lu, A. Rahmim
Voxelbased partial volume correction of PET images via subtle MRI guided nonlocal means regularization
Physica Medica, vol. 89, pp. 129139, 2021  D. G. Black, Y. Oloumi Yazdi, J. Wong, R. Fedrigo, C. Uribe, D. J. Kadrmas, A. Rahmim, I. S. Klyuzhin
Design of an anthropomorphic PET phantom with elastic lungs and respiration modeling
Medical Physics, vol. 48, pp. 42054217, 2021  X. Hou, J. Brosch, C. Uribe, A. Desy, G. Böning, JM. Beauregard, A. Celler, A. Rahmim
Feasibility of singletimepoint dosimetry for radiopharmaceutical therapies
J. Nucl. Med., vol. 62, pp. 10061011, 2021  M. R. Salmanpour, M. Shamsaei, A. Rahmim
Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson’s disease
Comp. Meth. Prog. Biomed., vol. 206, pp. 106131, 2021  I. Shiri et al.
Machine learningbased prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID19 patients
Comp. Biol. Med., vol. 132, pp. 104304, 2021  R. L. Wahl et al.
Mars Shot for nuclear medicine, molecular imaging, and molecularly targeted radiopharmaceutical therapy
J. Nucl. Med., vol. 62, pp. 614, 2021  J. Brosch, C. Uribe et al.
Influence of dosimetry method on bone lesion absorbed dose estimates in PSMA therapy: application to mCRPC patients receiving Lu177PSMAI&T
EJNMMI Physics, vol. 8, pp. 26, 2021  M. Adams, A. Rahmim, J. Tang
Improved motor outcome prediction in Parkinson’s disease applying deep learning to DaTscan SPECT images
Comp. Biol. Med., vol. 132, pp. 104312, 2021  D. Du, J. Gu, X. Chen, W. Lv, Q. Feng, A. Rahmim, H. Wu, L. Lu
Integration of PET/CT radiomics and semantic features for differentiation between active pulmonary tuberculosis and lung cancer
Molec. Imag. Biol., vol. 23, pp. 287–298, 2021  M. R. Salmanpour, M. Shamsaei, A. Saberi, G. Hajianfar, H. SoltanianZadeh, A. Rahmim
Robust identification of Parkinson’s disease subtypes using radiomics and hybrid machine learning
Comp. Biol. Med., vol. 129, pp. 104142, 2021  JC. Cheng, C. Bevington, A. Rahmim, I. Klyuzhin, J. Matthews, R. Boellaard, V. Sossi
Dynamic PET image reconstruction utilizing intrinsic datadriven HYPR4D denoising kernel
Med. Phys., vol. 5, 22302244, 2021
2020
 G. Wang, A. Rahmim, and R. N. Gunn
PET parametric imaging: past, present, and future
IEEE Trans. Rad. Plas. Med. Sci., vol. 4, pp. 663 – 675, 2020.  R. Samimi, A. KamaliAsl, P. Geramifar, J. van den Hoff, and A. Rahmim
Shortduration dynamic FDG PET imaging: optimization and clinical application
Physica Medica, vol. 80, pp. 193200, 2020.  H. M. K. McGillivray, C. F. Uribe, A. Rahmim, M. M. Muermann, and R. J. Wassersug
From diagnostics to theranostics—and why better cancer care will always be costly
BC Med. Journal, vol. 62, pp. 373379, 2020.  X. Hou, H. Ma, P. L. Esquinas, C. F. Uribe, S. Tolhurst, F. Bénard, D. Liu, A. Rahmim, and A. Celler
Impact of image reconstruction method on dose distributions derived from ^{90}Y PET images: phantom and liver radioembolization patient studies
Phys. Med. Biol., vol. 65, pp. 215022, 2020.  I. Shiri, H. Abdollahi, M. R. Atashzar, A. Rahmim, and H. Zaidi
A theranostic approach based on radiolabeled antiviral drugs, antibodies and CRISPR associated proteins for early detection and treatment of SARSCoV2 disease
Nucl. Med. Comm., vol. 41, pp. 837840, 2020.  I. Shiri, G. Hajianfar, A. Sohrabi, H. Abdollahi, S. P. Shayesteh, P. Geramifar, H. Zaidi, M. Oveisi, and A. Rahmim
Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: testretest and image registration analyses
Med. Phys., vol. 47, pp. 42654280, 2020.  H. Abdollahi, I. Shiri, J. J. Bevelacqua, A. Jafarzadeh, A. Rahmim, H. Zaidi, S. A. R. Mortazavi, and S. M. J. Mortazavi
Low dose radiation therapy and convalescent plasma: how a hybrid method may maximize benefits for COVID19 patients
J. Biomed. Phys. Eng., vol. 10, pp. 387394, 2020.  I. Shiri, H. Arabi, P. Geramifar, G. Hajianfar, P. Ghafarian, A. Rahmim, M. R. Ay, and H. Zaidi
DeepJASC: joint attenuation and scatter correction in wholebody ^{18}FFDG PET using a deep residual network
Euro. J. Nucl. Med. Mol. Imag., vol. 47, pp. 2533–2548, 2020.  K. H. Leung, W. Marashdeh, R. Wray, S. Ashrafinia, M. G. Pomper, A. Rahmim, and A. K. Jha
A physicsguided modular deeplearning based automated framework for tumor segmentation in PET
Phys. Med. Biol, vol. 65, pp. 245032, 2020.  I. Shiri, H. Maleki, G. Hajianfar, H. Abdollahi, S. Ashrafinia, M. Hatt, H. Zaidi, M. Oveisi, and A. Rahmim
Next generation radiogenomics sequencing for prediction of EGFR and KRAS mutation status in NSCLC patients using multimodal imaging and machine learning algorithms (awarded: Molecular Imaging & Biology, 2020 Clinical Paper of the Year)
Molec. Imag. Biol, vol. 22, pp. 11321148, 2020.  A. Zwanenburg et al.
The image biomarker standardization initiative: standardized quantitative radiomics for highthroughput imagebased phenotyping
Radiology, vol. 295, pp. 328–338, 2020.  M. McNittGray et al.
Standardization in quantitative imaging: a multicenter comparison of radiomics features from different software packages on digital reference objects and patient datasets
Tomography, vol. 6, pp. 118128, 2020.  M. Soltani, M. Jabbarifar, F. Moradi, and A. Rahmim
Evaluation of inverse methods for estimation of mechanical parameters in solid tumors
Biomed. Phys. Eng. Exp., vol. 6, pp. 035027, 2020.  J. Kang et al.
Transcranial photoacoustic imaging of NMDAevoked focal circuit dynamics in the rat hippocampus
J. Neural Eng., vol. 17, pp. 025001, 2020.  W. Lv, S. Ashrafinia, J. Ma, L. Lu, and A. Rahmim
Multilevel multimodality fusion radiomics: application to PET and CT imaging for prognostication of head and neck cancer
IEEE J. Biomed. Health Informatics, vol. 24, pp. 22682277, 2020.  M. R. Salmanpour, M. Shamsaei, A. Saberi, I. S. Klyuzhin, J. Tang, V. Sossi, and A. Rahmim
Machine learning methods for optimal prediction of motor outcome in Parkinson’s disease
Physica Medica, vol. 69, pp. 233240, 2020.  D. Du, H. Feng, W. Lv, S. Ashrafinia, Q. Yuan, Q. Wang, W. Yang, Q. Feng, W. Chen, A. Rahmim, and L. Lu
Machine learning methods for optimal radiomicsbased differentiation between recurrence and inflammation: application to nasopharyngeal carcinoma posttherapy PET/CT images
Molec. Imag. Biol., vol. 22, pp. 730–738, 2020.  S. Rezaei, P. Ghafarian, M. BakhshayeshKaram, C. F. Uribe, A. Rahmim, S. Sarkar, and M. R. Ay
The impact of iterative reconstruction protocol, signaltobackground ratio and background activity on measurement of PET spatial resolution
Japanese J. Radiology, vol. 38, pp. 231–239, 2020.  G. Mahmoudi, M. R. Ay, A. Rahmim, and H. Ghadiri
Computationally efficient system matrix calculation techniques in computed tomography iterative reconstruction
J. Med. Sign. Sens., vol. 10, pp. 111, 2020.
2019
 S. P. Rowe, L. B. Solnes, Y. Yin, G. Kitchen, M. A. Lodge, N. A. Karakatsanis, A. Rahmim, M. G. Pomper, and J. P. Leal
Imager4D: New software for viewing dynamic PET scans and extracting radiomic parameters from PET data
J. Digit. Imag., vol. 32, pp. 1071–1080, 2019.  M. R. Salmanpour, M. Shamsaei, A. Saberi, S. Setayeshi, I. S. Klyuzhin, V. Sossi, and A. Rahmim
Optimized machine learning methods for prediction of cognitive outcome in Parkinson’s disease
Comp. Biol. Med., vol. 111, pp. 103347, 2019.  S. Rezaei, P. Ghafarian, A. K. Jha, A. Rahmim, S. Sarkar, and M. R. Ay
Joint compensation of motion and partial volume effects by iterative deconvolution method associated with waveletbased denoising in oncologic PET/CT imaging
Physica Medica, vol. 68, pp. 5260, 2019.  N. Ahmadi, A. Karimian, M. N. Nasrabadi, and A. Rahmim
Assessment of fetal and maternal radiation absorbed dose in 18FFDG PET imaging
Intern. J. Rad. Res., vol. 17, pp. 651657, 2019.  G. Mahmoudi, M. R. Fouladi, M. R. Ay, A. Rahmim, and H. Ghadiri
Sparseview statistical image reconstruction with improved total variation regularization for Xray microCT imaging
J. Instrumentation, vol. 14, pp. P08023, 2019.  I. Shiri, P. Ghafarian, P. Geramifar, K. H. Leung, M. Ghelichoghli, M. Oveisi, A. Rahmim, and M. R. Ay
Direct attenuation correction of brain PET images using only Emission data via a deep convolutional encoderdecoder (DeepDAC)
European Radiology, vol. 29, pp. 68676879, 2019.  J. Kang et al.
Transcranial recording of electrophysiological neural activity in the rodent brain in vivo using functional photoacoustic imaging of nearinfrared voltagesensitive dye
Frontiers in Neuroscience, vol. 13, 579, 2019.  A. Rahmim, M. A. Lodge, N. A. Karakatsanis, V. Y. Panin, Y, Zhou, A. McMillan, S. Cho, H. Zaidi, M. E. Casey, and R. L. Wahl
Dynamic wholebody PET imaging: principles, potentials and applications
Euro. J. Nucl. Med. Mol. Imag., vol. 46, pp. 501–518, 2019.  J. Tang, B. Yang, N. N. Shenkov, I. S. Klyuzhin, S. Fotouhi, E. DavoodiBojd, L. Lu, H. SoltanianZadeh, V. Sossi, and A. Rahmim
Artificial neural network based prediction of outcome in Parkinson’s disease patients using DaTscan SPECT imaging features
Med. Imag. Biol, vol. 21, pp. 11651173, 2019.  A. Rahmim, K. P. BakFredslund, S. Ashrafinia, L. Lu, C. R. Schmidtlein, R. M. Subramaniam, A. Morsing, S. Keiding, J. Horsager, and O. L. Munk
Prognostic modeling for patients with colorectal liver metastases incorporating FDG PET radiomic features
Euro. J. Radiol., vol. 113, pp. 101109, 2019.  W. Lv, Q. Yuan, Q. Wang, J. Ma, Q. Feng, W. Chen, A. Rahmim, and L. Lu
Radiomics analysis of PET and CT components of PET/CT imaging integrated with clinical parameters: application to prognosis for nasopharyngeal carcinoma
Mol. Imag. Biol, vol. 21, pp. 954964, 2019.  A. Ketabi, P. Ghafarian, M. A. MoslehShirazi, S. R. Mahdavi, A. Rahmim, and M. R. Ay
Impact of image reconstruction methods on quantitative accuracy and variability of FDGPET volumetric and textural measures in solid tumors
Euro. Radiol., vol. 29, pp. 2146–2156, 2019.  I. S. Klyuzhin, J. F. Fu, N. Shenkov, A. Rahmim, and V. Sossi
Use of generative disease models for analysis and selection of radiomic features in PET
IEEE Trans. Rad. Plas. Med. Sci., vol. 3, pp. 178191, 2019.
2018
 I. S. Klyuzhin, J. F. Fu, A. Hong, M. Sacheli, N. Shenkov, M. Matarazzo, A. Rahmim, A. J. Stoessl, and V. Sossi
Datadriven, voxelbased analysis of brain PET images: application of PCA and LASSO Methods to visualize and quantify patterns of neurodegeneration
PLoS ONE, vol. 13, pp. e0206607, 2018.  S. Shojaeilangari, C. R. Schmidtlein, A. Rahmim, and M. R. Ay
Recovery of missing data in partial geometry PET scanners: compensation in projection space versus image space
Med. Phys, vol. 45, pp. 54375449, 2018.  Y. Zhu, A. K. Jha, D. F. Wong, and A. Rahmim
Image reconstruction in fluorescence molecular tomography with sparsityinitialized maximumlikelihood expectation maximization
Biomed. Opt. Exp., vol. 9, pp. 31063121, 2018.  M. A. Lodge, J. P. Leal, A. Rahmim, J. J. Sunderland, and E. C. Frey
Measuring PET spatial resolution using a cylinder phantom positioned at an oblique angle
J. Nucl. Med., vol. 59, pp. 17681775, 2018.  N. Salehi, A. Rahmim, E. Fatemizadeh, A. Akbarzadeh, M. H. Farahani, S. Farzanefar, and M. R. Ay
Cardiac contraction motion compensation in gated myocardial perfusion SPECT: A comparative study
Physica Medica, vol. 49, pp. 7782, 2018.  H. Ghadiri, M. R. Fouladi, and A. Rahmim
An analysis scheme for investigation of effects of various parameters on signals in acousticresolution photoacoustic microscopy of mice brain: a simulation study
Frontiers in Biomed. Tech., vol. 4, pp. 5969, 2018.  W. Lv, Q. Yuan, Q. Wang, J. Ma, J. Jiang, W. Yang, Q. Feng, W. Chen, A. Rahmim, and L. Lu
Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT
Euro. Radiol., vol. 8, pp. 3245–3254, 2018.  A. K. Jha, Y. Zhu, S. Arridge, D. F. Wong, and A. Rahmim
Incorporating reflection boundary conditions in the Neumann series radiative transport equation: application to photon propagation and reconstruction in diffuse optical imaging
Biomed. Opt. Exp., vol. 9, pp. 13891407, 2018.  N. Ahmadi, M. N. Nasrabadi, A. Karimian, and A. Rahmim
Estimation of fetal absorbed dose from lowdose attenuationcorrection CT in PET/CT imaging by using the Body Builder Phantom
Iranian J. Rad. Safety & Meas., vol. 6, pp. 4553, 2018.  A. Emami, H. Ghadiri, A. Rahmim, and M. R. Ay
A novel dual energy method for enhanced quantitative computed tomography
J. Instrumentation, vol. 13, pp. P01030, 2018.  Z. Etemadi, P. Ghafarian, A. BitarafanRajabi, H. Malek, A. Rahmim, and M. R. Ay
Is correction for metallic artefacts mandatory in cardiac SPECT/CT imaging in the presence of pacemaker and implantable cardioverter defibrillator leads?
Iranian J. Nucl. Med., vol. 26, pp. 3546, 2018.  L. Lu, X. Ma, H. MohyudDin, J. Ma, Q. Feng, A. Rahmim, and W. Chen
Enhancement of dynamic myocardial perfusion PET images based on lowrank plus sparse decomposition
Comp. Meth. Prog. Biomed., vol. 154, p. 5769, 2018.
2017
 A. Rahmim, P. Huang, N. Shenkov, S. Fotouhi, E. DavoodiBojd, L. Lu, Z. Mari, H. SoltanianZadeh, and V. Sossi
Improved prediction of outcome in Parkinson’s disease using radiomics analysis of longitudinal DAT SPECT Images (supplement)
NeuroImage: Clinical, vol. 16, pp. 539544, 2017.  R. Sharifpour, P. Ghafarian, A. Rahmim, and M. R. Ay
Quantification and reduction of respiratory induced artifacts in positron emission tomography/computed tomography using the timeofflight technique
Nucl. Med. Comm., vol. 38, pp. 948–955, 2017.  M. Khazaee, A. KamaliAsl, P. Geramifar, and A. Rahmim
Lowdose 90Y PET/CT imaging optimized for lesion detectability and quantitative accuracy: a phantom study to assess feasibility of pretherapy imaging to plan therapeutic dose
Nucl. Med. Comm., vol. 38, pp. 985–997, 2017.  R. F. Gottesman et al.
Association between midlife vascular risk factors and estimated brain amyloid deposition
JAMA, vol. 317, pp. 14431450, 2017.  S. Ashrafinia, H. MohyudDin, N. A. Karakatsanis, A. K. Jha, M. Casey, D. J. Kadrmas, and A. Rahmim
Generalized PSF modeling for optimized quantitation in PET imaging
Phys. Med. Biol., vol. 62, pp. 51495179, 2017.  I. Shiri, A. Rahmim, P. Ghaffarian, P. Geramifar, H. Abdollahi, and A. BitarafanRajabi
The impact of image reconstruction settings on 18FFDG PET radiomic features: multiscanner phantom and patient studies
European Radiology, vol. 27, pp. 44984509, 2017.  B. A. Anderson, H. Kuwabara, D. F. Wong, J. Roberts, A. Rahmim, J. R. Brasic, and S. M. Courtney
Linking dopaminergic reward signals to the development of attentional bias: a positron emission tomographic study
NeuroImage, vol. 157, pp. 2733, 2017.  H. K. Zhang, P. Yan, J. Kang, D. Abou, H. N. D. Le, A. K. Jha, D. Thorek, J. Kang, A. Rahmim, D. F. Wong, E. M. Boctor, and L. M. Loew
Listening to membrane potential: photoacoustic voltagesensitive dye recording
J. Biomed. Optics, vol. 22, pp. 045006, 2017.  J. Tang, X. Wang, X. Gao, P. Segars, M. Lodge, and A. Rahmim
Enhancing ejection fraction measurement through 4D respiratory motion compensation in cardiac PET imaging (also see featured news article @ medicalphysicsweb)
Phys. Med. Biol., vol. 62, pp. 4496–4513, 2017.  N. Ahmadi, M. N. Nasrabadi, A. Karimian, and A. Rahmim
A TLD based method to estimate bowtie filter shape in PET/CT
Intern. J. Rad. Res., vol. 15, pp. 383390, 2017.  S. K. Gerdekoohi, N. Vosoughi, K. Tanha, M. Asadi, P. Ghafarian, A. Rahmim, and M. R. Ay
Implementation of absolute quantification in smallanimal SPECT imaging: phantom and animal studies
J. Appl. Clin. Med. Phys., vol. 18, pp. 215223, 2017.  P. Knoll, A. Rahmim, S. Gültekin, M. Samal, M. Ljungberg, S. Mirzaei, P. Segars, and B. Szczupak
Improved scatter correction with factor analysis for planar and SPECT imaging
Rev. Sci. Instrum., vol. 88, pp. 094303, 2017.  J. Tang, X. Wang, and A. Rahmim
MRI assisted dual motion correction for myocardial perfusion defect detection in PET imaging
Med. Phys., vol. 44, pp. 45364547, 2017.  A. K. Jha, E. Mena, B. Caffo, S. Ashrafinia, A. Rahmim, E. Frey, and R. M. Subramaniam
A practical nogoldstandard evaluation framework for quantitative imaging methods: application to lesion segmentation in PET
J. Med. Imag., vol. 4, pp. 011011, 2017.  E. Mena, M. Taghipour, S. Sheikhbahaei, A. K. Jha, A. Rahmim, L. Solnes, and R. M. Subramaniam
Value of intratumoral metabolic heterogeneity and quantitative 18FFDG PET/CT parameters to predict prognosis in patients with HPVpositive primary oropharyngeal squamous cell carcinoma
Clinic. Nucl. Med., vol. 42, p. e227e234, 2017.  M. Soltani, M. Sefidgar, H. Bazmara, M. E. Casey, R. M. Subramaniam, R. L. Wahl, and A. Rahmim
Spatiotemporal distribution modeling of PET tracer uptake in solid tumors
Ann. Nucl. Med., vol. 31, pp. 109124, 2017.  N. Zeraatkar, A. Rahmim, S. Sarkar, and M. R. Ay
Development and evaluation of image reconstruction algorithms for a novel desktop SPECT system
Asia Oceania J. Nucl. Med. Biol., vol. 5, pp. 120133, 2017.  M. Soufi, A. KamaliAsl, P. Geramifar, and A. Rahmim
A novel framework for automated segmentation and labeling of homogeneous versus heterogeneous lung tumors in [18F]FDG PET imaging
Molec. Imag. Biol., vol. 19, pp. 456468, 2017.
2016
 A. Rahmim, Y. Salimpour, S. Jain, S. Blinder, I. S. Klyuzhin, G. S. Smith, Z. Mari, and V. Sossi
Application of texture analysis to DAT SPECT imaging: relationship to clinical assessments
NeuroImage: Clinical, vol. 12, pp. e1e9, 2016.  R. F. Gottesman et al.
The ARICPET amyloid imaging study: brain amyloid differences by age, race, sex, and APOE (supplement; also see editorial @ Neurology)
Neurology, vol. 87, pp. 473480, 2016.  L. Lu, W. Lv, J. Jiang, J. Ma, Q. Feng, A. Rahmim, and W. Chen
Robustness of radiomic features in [11C]Choline and [18F]FDG PET/CT imaging of nasopharyngeal carcinoma: impact of segmentation and discretization (supplement)
Molec. Imag. Biol., vol. 18, pp. 935945, 2016.  N. A. Karakatsanis, M. E. Casey, M. A. Lodge, A. Rahmim, and H. Zaidi
Wholebody direct 4D parametric PET imaging employing nested generalized Patlak expectationmaximization reconstruction (also see 1 featured news article @ medicalphysicsweb; 2 top 10 most popular PMB articles in 2016)
Phys. Med. Biol., vol. 61, pp. 5456–5485, 2016.  F. Aalamifar, R. Seifabadi, M. Bernardo, Ayele H. Negussie, B. Turkbey, M. Merino, P. Pinto, A. Rahmim, B. J. Wood, and E. M. Boctor
Ultrasound tomosynthesis: a new paradigm for quantitative imaging of the prostate
Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 577584, 2016.  N. Zeraatkar, M. H. Farahani, A. Rahmim, S. Sarkar, and M. R. Ay
Design and assessment of a novel SPECT system for desktop opengantry imaging of small animals: a simulation study
Med. Phys., vol. 43, pp. 25812597, 2016.  A. Rahmim, C. R. Schmidtlein, A. Jackson, S. Sheikhbahaei, C. Marcus, S. Ashrafinia, M. Soltani, and R. M. Subramaniam
A novel metric for quantification of homogeneous and heterogeneous tumors in PET for enhanced clinical outcome prediction
Phys. Med. Biol., vol. 61, pp. 227242, 2016.  M. Soufi, A. R. KamaliAsl, P. Geramifar, M. Abdoli, and A. Rahmim
Combined fuzzy logic and random walker algorithm for PET image tumor delineation
Nucl. Med. Comm., vol. 37, 171181, 2016.  B. A. Anderson, H. Kuwabara, D. F. Wong, E. G. Gean, A. Rahmim, J R. Brasic , N. George, B. Frolov, S. M. Courtney, and S. Yantis
The role of dopamine in valuebased attentional orienting (also see commentary @ Johns Hopkins Magazine)
Current Biology, vol. 26, pp. 550555, 2016.  S. Sheikhbahaei, R. Wray, B. Young, E. Mena, M. Taghipour, A. Rahmim, and R. M. Subramaniam
18FFDGPET/CT therapy assessment of locally advanced pancreatic adenocarcinoma: impact on management and utilization of quantitative parameters for patient survival prediction
Nucl. Med. Comm., vol. 37, pp. 231238, 2016.  S. Sheikhbahaei, C. Marcus, R. Wray, A. Rahmim, M. A. Lodge, and R. M. Subramaniam
Impact of pointspread function reconstruction on quantitative 18FFDGPET/CT imaging parameters and interreader reproducibility in solid tumors
Nucl. Med. Comm., vol. 37, pp. 288296, 2016.  H. Bazmara, M. Soltani, M. Sefidgar, M. Bazargan, M. Mousavi, A. Rahmim
Blood flow and endothelial cell phenotype regulation during sprouting angiogenesis
Med. Biol. Eng. Comp., vol. 54, pp. 547558, 2016.  R. Wray, C. Marcus, S. Sheikhbahaei, E. Zan, R. Ferraro, A. Rahmim, and R. M. Subramaniam
Therapy response assessment and patient outcomes in head and neck squamous cell carcinoma: FDG PET Hopkins criteria versus residual neck node size and morphologic features
Am. J. Roentgenology, vol. 207, pp. 641647, 2016.
2015
 N. A. Karakatsanis, Y. Zhou, M. A. Lodge, M. E. Casey, R. L. Wahl, H. Zaidi, and A. Rahmim
Generalized wholebody Patlak parametric imaging for enhanced quantification in clinical PET
Phys. Med. Biol., vol. 40, pp. 86438673, 2015.  H. MohyudDin, M. A. Lodge, and A. Rahmim
Quantitative myocardial perfusion PET parametric imaging at the voxellevel
Phys. Med. Biol., vol. 60, pp. 60136037, 2015.  H. MohyudDin, N. A. Karakatsanis, W. Willis, A. K. Tahari, D. F. Wong, and A. Rahmim
Intraframe motion compensation in multiframe brain PET imaging
Frontiers in Biomed. Tech., vol. 2, pp. 366379, 2015.  C. Marcus, A. Antoniou, A. Rahmim, P. Ladenson, and and R. M. Subramaniam
Fluorodeoxyglucose positron emission tomography/computerized tomography in differentiated thyroid cancer management: Importance of clinical justification and value in predicting survival
J. Med. Imag. Rad. Onc., vol. 59, 281288, 2015.  J. Hossain, Y. Du, J. Links, A. Rahmim, N. Karakatsanis, A. Akhbardeh, J. Lyons, and E. Frey
Estimation of dynamic time activity curves from dynamic cardiac SPECT imaging
Phys. Med. Biol., vol. 60, pp. 31933208, 2015.  H. Bazmara, M. Soltani, M. Sefidgar, M. Bazargan, M. Mousavi, A. Rahmim
The vital role of blood flowinduced proliferation and migration in capillary network formation in a multiscale model of angiogenesis
PLoS ONE, vol. 10, pp. e0128878, 2015.  L. Lu, J. Ma, Q. Feng, W. Chen, and A. Rahmim
Anatomyguided brain PET imaging incorporating a joint prior model
Phys. Med. Biol., vol. 60, pp. 214566, 2015.  J. Tang and A. Rahmim
Anatomy assisted PET image reconstruction incorporating multiresolution joint entropy
Phys. Med. Biol., vol. 60, pp. 3148, 2015.
2014
 F. A. Kotasidis, C. Tsoumpas, and A. Rahmim
Advanced kinetic modelling strategies: towards adoption in clinical PET imaging (invited review article)
Clinic. & Transl. Imaging, vol. 2, pp. 219237, 2014.  A. Rahmim, A. K. Tahari, and T. H. Schindler
Towards quantitative myocardial perfusion PET in the clinic
J. Am. Coll. Radiol., vol. 11, pp. 429432, 2014.  A. K. Tahari, P. E. Bravo, A. Rahmim, F. M. Bengel, and Z. Szabo
Initial human experience with Rubidium82 renal PET/CT imaging
J. Med. Imag. Rad. Onc., vol. 58, pp. 2531, 2014.  H. Ghadiri, M. B. Shiran, H. R. SoltanianZadeh, A. Rahmim, H. Zaidi, and M. R. Ay
Derivation of attenuation map for attenuation correction of PET data in the presence of nanoparticulate contrast agents using spectral CT imaging
Ann. Nucl. Med., vol. 28, pp. 559570, 2014.  P. Ghafarian, M. R. Ay, A. FardEsfahani, A. Rahmim, and H. Zaidi
Quantification of PET and CT misalignment errors due to bulk motion in cardiac PET/CT imaging: phantom and clinical studies
Frontiers in Biomed. Tech., vol. 1, pp. 159167, 2014.  Z. Shahpouri, A. K. Asl, A. B. Rajabi, J. Hossain, S. M. Entezarmahdi, S. Mohseni, N. Yaghoobi, and A. Rahmim
A comparative assessment of dynamic and conventional Thallium201 SPECT myocardial perfusion imaging: Monte Carlo simulations and case studies
Frontiers in Biomed. Tech., vol. 1, pp. 91102, 2014.  N. Zeraatkar, S. Sajedi, M. H. Farahani, H. Arabi, S. Sarkar, P. Ghafarian, A. Rahmim, and M. R. Ay
Resolutionrecoveryembedded image reconstruction for a highresolution animal SPECT
Physica Medica, vol. 30, pp. 774781, 2014.  S. Sajedi, N. Zeraatkar, V. Moji, M. H. Farahani, S. Sarkar, H. Arabi, B. Tehmoorian, P. Ghafarian, A. Rahmim, and M. R. Ay
Design and development of a high resolution animal SPECT scanner dedicated for rat and mouse imaging
Nucl. Inst. & Methods in Phys. Research A, vol. 741, pp. 169176, 2014.  A. Rahmim, J. Tang, and H. MohyudDin
Direct 4D parametric imaging in dynamic myocardial perfusion PET
Frontiers in Biomed. Tech., vol. 1, pp. 413, 2014.  N. A. Karakatsanis, G. Loudos, A. Rahmim, and K. Nikita
MonteCarlo based characterization of the counting rate (NECR) response for personalized optimization of the administered activity in clinical PET imaging
Frontiers in Biomed. Tech., vol. 1, pp. 1434, 2014.
2013
 A. M. Alessio, A. Rahmim, and C. G. Orton (Moderator)
Resolution modeling enhances PET imaging (invited point/counterpoint) (erratum)
Med. Phys., vol. 40, pp. 120601, 2013.  A. Rahmim and J. Tang
Noise propagation in resolution modeled PET imaging and its impact on detectability
Phys. Med. Biol., vol. 58, pp. 69456968, 2013.  N. A. Karakatsanis, M. A. Lodge, A. K. Tahari, Y. Zhou, R. L. Wahl, and A. Rahmim
Dynamic whole body PET parametric imaging: I. concept, acquisition protocol optimization and clinical application
Phys. Med. Biol., vol. 58, pp. 73917418, 2013.  N. A. Karakatsanis, M. A. Lodge, Y. Zhou, R. L. Wahl, and A. Rahmim
Dynamic whole body PET parametric imaging: II. taskoriented statistical estimation
Phys. Med. Biol., vol. 58, pp. 74197445, 2013.  A. Rahmim, J. Qi, and V. Sossi
Resolution modeling in PET imaging: theory, practice, benefits, and pitfalls (review article)
Med. Phys., vol. 40, pp. 064301, 2013.  A. Rahmim, J. Tang, and H. Zaidi
Fourdimensional image reconstruction strategies in cardiacgated and respiratorygated PET imaging (invited review article)
PET Clinics, vol. 8, pp. 5167, 2013.  P. Geramifar, M. S. Zafarghandi, P. Ghafarian, A. Rahmim, and M. R. Ay
Respiratoryinduced errors in tumor quantification and delineation in CT attenuation corrected PET images: effects of tumor size, tumor location and respiratory trace – a simulation study using the 4D XCAT Phantom
Molec. Imag. Biol., vol. 15, pp. 655665, 2013.  A. Mehranian, M. R. Ay, A. Rahmim, and H. Zaidi
Xray CT metal artifact reduction using wavelet domain L0 sparse regularization
IEEE Trans. Med. Imag., vol. 32, pp. 17071722, 2013.  A. Mehranian, M. R. Ay, A. Rahmim, and H. Zaidi
3D prior image constrained projection completion for Xray CT metal artifact reduction
IEEE Trans. Nucl. Sci., vol. 60, pp. 33183332, 2013.  A. Mehranian, A. Rahmim, M. R. Ay, F. Kotasidis, and H. Zaidi
An orderedsubsets proximal preconditioned gradient algorithm for edgepreserving PET image reconstruction
Med. Phys., vol. 40, pp. 052503, 2013.  S. Sajedi, A. KamaliAsl, M. R. Ay, M. H. Farahani, and A. Rahmim
A novel nonlinear recursive filter design for extracting high rate pulse features in nuclear medicine imaging and spectroscopy
Med. Eng. Phys., vol. 35, pp. 754764, 2013.  A. Mehranian, H. S. Rad, A. Rahmim, M. R. Ay, and H. Zaidi
Smoothly clipped absolute deviation (SCAD) regularization for compressed sensing MRI using an augmented Lagrangian scheme
Mag. Reson. Imag., vol. 31, pp. 13991411, 2013.
2012
 L. Lu, N. A. Karakatsanis, J. Tang, W. Chen, and A. Rahmim
3.5D dynamic PET image reconstruction incorporating kineticsbased clusters
Phys. Med. Biol., vol. 57, pp. 50355055, 2012.  A. Rahmim, Y. Zhou, J. Tang, L. Lu, V. Sossi, and D. F. Wong
Direct 4D parametric imaging for linearized models of reversibly binding PET tracers using generalized ABEM reconstruction
Phys. Med. Biol., vol. 57, pp. 733755, 2012.
2011
 N. Zeraatkar, M. R. Ay, P. Ghafarian, S. Sarkar, P. Geramifar, and A. Rahmim
Monte Carlobased evaluation of intercrystal scatter and penetration in the PET subsystem of three GE Discovery PET/CT scanners
Nucl. Inst. & Methods in Phys. Research A, vol. 659, pp. 508514, 2011.  P. Geramifar, M. R. Ay, M. S. Zafarghandi, S. Sarkar, G. Loudos, and A. Rahmim
Investigation of timeofflight benefits in an LYSObased PET/CT scanner: A Monte Carlo study using GATE
Nucl. Inst. & Methods in Phys. Research A, vol. 641, pp. 121127, 2011.  J. Tang, W. P. Segars, TS. Lee, X. He, A. Rahmim, and B. M. W. Tsui
Quantitative study of cardiac motion estimation and abnormality classification in emission computed tomography
Med. Eng. Phys., vol. 33, p. 563572, 2011.  M. R. Ay, M. Shirmohammad, S. Sarker, A. Rahmim, and H. Zaidi
Comparative assessment of energy mapping approaches in CTbased attenuation correction for PET
Molec. Imag. Biol., vol. 13, pp. 187198, 2011.  P. Ghafarian P, S. M. Aghamiri, M. R. Ay, A. Rahmim, T. H. Schindler, O. Ratib, and H. Zaidi
Is metal artefact reduction mandatory in cardiac PET/CT imaging in the presence of pacemaker and implantable cardioverter defibrillator leads?
Eur. J. Nucl. Med. Mol. Imaging, vol. 38, p. 252262, 2011.
2010
 J. Tang, H. Kuwabara, D. F. Wong, and A. Rahmim
Direct 4D reconstruction of parametric images incorporating anatofunctional joint entropy
Phys. Med. Biol., vol. 55, 42614272, 2010.  P. Ghafarian P, S. M. Aghamiri, M. R. Ay, B. Fallahi, A. Rahmim, T. H. Schindler, O. Ratib, and H. Zaidi
Coronary calcium score scanbased attenuation correction in cardiovascular PET imaging
Nucl. Med. Commun., vol. 31, p. 780787, 2010.  D. F. Wong et al.
Quantification of cerebral cannabinoid receptors subtype 1 (CB1) in healthy subjects and schizophrenia by the novel PET radioligand [11C]OMAR
NeuroImage, vol. 52, pp. 15051513, 2010.  J.C. Cheng, S. Blinder, A. Rahmim, and V. Sossi
A scatter calibration technique for dynamic brain imaging in high resolution PET
IEEE Trans. Nucl. Sci., vol. 57, pp. 225233, 2010.  M. A. Lodge, A. Rahmim, and R. L. Wahl
Simultaneous measurement of noise and spatial resolution in PET phantom images
Phys. Med. Biol., vol. 55, pp. 10691081, 2010.  M. S. Ardestani et al.
Novel and facile methods for the synthesis of DTPAmonoamide: a new completely revised strategy in radiopharmaceutical chemistry
J. Radioanalytical & Nucl. Chem., vol. 283, pp. 447455, 2010.
2009
 A. Rahmim, J. Tang, and H. Zaidi
Fourdimensional (4D) image reconstruction strategies in dynamic PET: beyond conventional independent frame reconstruction (review article)
Med. Phys., vol. 36, pp. 36543670, 2009.  J. Tang and A. Rahmim
Bayesian PET image reconstruction incorporating anatofunctional joint entropy
Phys. Med. Biol., vol. 54, pp. 70637075, 2009.  J. Tang, A. Rahmim, R. Lautamaki, M. A. Lodge, F. M. Bengel, and B. M. W. Tsui
Optimization of Rb82 PET acquisition and reconstruction protocols for myocardial perfusion defect detection
Phys. Med. Biol., vol. 54, pp. 31613171, 2009.  M. A. Lodge, A. Rahmim, and R. L. Wahl
A practical, automated quality assurance method for measuring spatial resolution in positron emission tomography
J. Nucl. Med., vol. 50, pp. 13071314, 2009.  P. Geramifar, M. R. Ay, M. S. Zafarghandi, G. Loudos, and A. Rahmim
Performance comparison of four commercial GE Discovery PET/CT scanners: a Monte Carlo study using GATE
Iranian J. Nucl. Med., vol. 17, pp. 2633, 2009.  S. Lashkari, M. R. Ay, S. Sarkar, and A. Rahmim
The influence of crystal size and material on intercrystal scattering and parallax in PET block detectors: a Monte Carlo study
Iranian J. Med. Phys., vol. 5, pp. 6776, 2009.
2008
 A. Rahmim, J. Tang, M. A. Lodge, S. Lashkari, M. R. Ay, R. Lautamaki, B. M. W. Tsui, and F. M. Bengel
Analytic system matrix resolution modeling in PET: an application to Rb82 cardiac imaging
Phys. Med. Biol., vol. 53, pp. 59475965, 2008.  A. Rahmim, K. Dinelle, J.C. Cheng, M. A. Shilov, W. P. Segars, S. C. Lidstone, S. Blinder, O. G. Rousset, H. Vajihollahi, B. M. W. Tsui, D. F. Wong, and V. Sossi
Accurate eventdriven motion compensation in highresolution PET incorporating scattered and random events
IEEE Trans. Med. Imag., vol. 27, pp. 10181033, 2008.  A. Rahmim, J.C. Cheng, K. Dinelle, M. A. Shilov, W. P. Segars, O. G. Rousset, B. M. W. Tsui, D. F. Wong, and V. Sossi
System matrix modelling of externally tracked motion
Nucl. Med. Comm., vol. 29, pp. 574581, 2008.  A. Rahmim and H. Zaidi
PET versus SPECT: strengths, limitations and challenges (invited review article)
Nucl. Med. Comm., vol. 29, pp. 193207, 2008.  O. G. Rousset, D. L. Collins, A. Rahmim, and D. F. Wong
Design and implementation of an automated partial volume correction in PET: application to dopamine receptor quantification in the normal human striatum
J. Nucl. Med., vol. 49, pp. 10971106, 2008.  K. M. Wilcox, Y. Zhou, D. F. Wong, M. Alexander, A. Rahmim, J. Hilton, and M. R. Weed
Blood levels and DA transporter occupancy of orally administered methylphenidate in juvenile rhesus monkeys measured by high resolution PET
Synapse, vol. 62, pp. 950952, 2008.  M. Shirmohammad, M. R. Ay, S. Sarkar, and A. Rahmim
Comparing 511keV attenuation maps obtained from different energy mapping methods for CT based attenuation correction of PET data
Iranian J. Med. Phys., vol. 5, pp. 2334, 2008.  H. F. Moghaddam, M. S. Ardestani, M. Saffari, L. Navidpour, A. Shafiee, and A. Rahmim
Dopaminergic but not glutamatergic neurotransmission is increased in the striatum after selective cyclooxygenase2 inhibition in normal and hemiparkinsonian rats
Basic & Clinical Pharmacology & Toxicology, vol. 103, pp. 293296, 2008.
2007
 A. Rahmim, O. G. Rousset, and H. Zaidi
Strategies for motion tracking and correction in PET (invited review article)
PET Clinics, vol. 2, pp. 251266, 2007.  O. G. Rousset, A. Rahmim, A. Alavi, and H. Zaidi
Partial volume correction strategies in PET (invited review article)
PET Clinics, vol. 2, pp. 235249, 2007.  J.C. Cheng, A. Rahmim, S.Blinder, ML. Camborde, K. Raywood, and V Sossi
A scatter corrected listmode reconstruction and a practical scatter/random approximation technique for dynamic PET imaging
Phys. Med. Biol, vol. 52, pp. 20892106, 2007.  S. Sarkar, M. A. Oghabian, I. Mohammadi, A. Mohammadpur, and A. Rahmim
A linogram/sinogram crosscorrelation method for motion correction in planar and SPECT imaging
Trans. Nucl. Sci., vol. 54, pp. 7179, 2007.
2006
 A. Rahmim and R. L. Wahl
An overview of clinical PET/CT (invited review article)
Iranian J. Nucl. Med., vol. 14, pp. 114, 2006  A. Horti, H. Fan, H. Kuwabara, J. Hilton, H. Ravert, D. P. Holt, M. Alexander, A. Kumar, A. Rahmim, U. Scheffel, D. F. Wong, and R. F. Dannals
11CJHU75528: a radiotracer for PET imaging of CB1 cannabinoid receptors
J. Nucl. Med., vol. 47, pp. 16891696, 2006.
2005
 A. Rahmim, J. C. Cheng, S. Blinder, ML. Camborde, and V. Sossi
Statistical dynamic image reconstruction in stateoftheart high resolution PET
Phys. Med. Biol., vol. 50, pp. 48874912, 2005.  V. Sossi, ML. Camborde, G. Tropini, D. Newport, A. Rahmim, D. J. Doudet, and T. J. Ruth
The influence of measurement uncertainties on the evaluation of the distribution volume ratio and binding potential in rat studies on a microPET R4: a phantom study
Phys. Med. Biol., vol. 50, pp. 28592869, 2005.
2004
 A. Rahmim, M. Lenox, A. J. Reader, C. Michel. Z. Burbar, T. J. Ruth, and V. Sossi
Statistical listmode image reconstruction for the high resolution research tomograph
Phys. Med. Biol., vol. 49, pp. 42394258, 2004.  A. Rahmim, P. Bloomfield, S. Houle, M. Lenox, C. Michel, K. R. Buckley, T. J. Ruth, and V. Sossi
Motion compensation in histogrammode and listmode EM reconstructions: beyond the eventdriven approach
IEEE Trans. Nucl. Sci., vol. 51, pp. 25882596, 2004.  V. Sossi, K. R. Buckley, P. Piccioni, A. Rahmim, M.L. Camborde, E. Strome, S. Lapi, and T. J. Ruth
Printed sources for positron emission tomography (PET)
IEEE Trans. Nucl. Sci., vol. 52, pp. 114118, 2004.