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Arman Rahmim, PhD, DABSNM

Senior Scientist - Imaging Unit, Integrative Oncology


BC Cancer Research Centre

Imaging Unit, Integrative Oncology

Room 5.114 (office)

675 W. 10th Ave.

Vancouver, BC  V5Z 1L3

Telephone: 604.675.8262  Fax: 604.675.8099

Arman photo

Research Website

Rahmim Lab Website


Senior Scientist, Integrative Oncology, BC Cancer Research Centre

Provincial Medical Imaging Physicist, PET Functional Imaging, BC Cancer Agency

Associate Professor of Radiology and Physics, University of British Columbia


Ph.D., Medical Physics, University of British Columbia, 2005

M.Sc., Condensed Matter Physics, University of British Columbia, 2001

B.Sc., Combined Honors Physics and Mathematics, University of British Columbia, 1999

Brief Bio

Dr. Rahmim is Associate Professor of Radiology and Physics & Astronomy, Faculties of Medicine and Science at the University of British Columbia and Senior Scientist and Provincial Medical Imaging Physicist at BC Cancer Agency. He received his MSc in Condensed Matter Physics and PhD in Medical Imaging Physics at UBC. Following his doctoral studies, he was recruited by Johns Hopkins University (JHU) to lead the High Resolution Brain PET Imaging Physics Program and pursue research at the JHU Department of Radiology. In 2018, he was recruited back to Vancouver where he conducts research in image generation and analysis, machine learning, radiomics and radionuclide therapy. He has published over 110 journal articles and 220 conference proceeding papers/abstracts, and has delivered more than 50 invited lectures worldwide. He has participated as principal investigator or co-investigator on a range of grants towards quantitative tomographic imaging, including translation to clinical applications. Dr. Rahmim was elected as IEEE Senior Member in 2012, is President of the Physics, Instrumentation and Data Sciences (PIDS) Council of the Society of Nuclear Medicine & Molecular Imaging (SNMMI), and was awarded the John S. Laughlin Young Scientist Award by the American Association of Physicists in Medicine (AAPM) in 2016.

Publications - Last 5 years

  1. Rahmim A, Lodge MA, Karakatsanis NA, Panin VY, Zhou Y, McMillan A, Cho S, Zaidi H,  Casey ME, Wahl RL .Dynamic whole-body PET imaging: principles, potentials and applications.  Euro. J. Nucl. Med. Mol. Imag., In Press, 2018.
  2. Shojaeilangari S, Schmidtlein CR, Rahmim A, Ay MR. Recovery of missing data in partial geometry PET scanners: compensation in projection space versus image space
  3. Med. Phys, In Press, 2018.
  4. Ketabi A, Ghafarian P, Mosleh-Shirazi MA, Mahdavi SR, Rahmim A, Ay MR.  Impact of image reconstruction methods on quantitative accuracy and variability of FDG-PET volumetric and textural measures in solid tumors. Euro. Radiol., In Press, 2018.
  5. Klyuzhin IS, Fu JF, Shenkov N, Rahmim A, Sossi V.  Use of generative disease models for analysis and selection of radiomic features in PET. IEEE Trans. Rad. Plas. Med. Sci., In Press, 2018.
  6. Zhu Y, Jha AK, Wong DF, Rahmim A.  Image reconstruction in fluorescence molecular tomography with sparsity-initialized maximum-likelihood expectation maximization.  Biomed. Opt. Exp., vol. 9, pp. 3106-3121, 2018.
  7. Lodge MA, Leal JP, Rahmim A, Sunderland JJ, Frey EC.  Measuring PET spatial resolution using a cylinder phantom positioned at an oblique angle.  J. Nucl. Med., In Press, 2018.
  8. Salehi N, Rahmim A, Fatemizadeh E, Akbarzadeh A, Farahani MH, Farzanefar S, Ay MR. Cardiac contraction motion compensation in gated myocardial perfusion SPECT: A comparative study.  Physica Medica, vol. 49, pp. 77-82, 2018.
  9. Ghadiri H, Fouladi MR, Rahmim A.  An analysis scheme for investigation of effects of various parameters on signals in acoustic-resolution photoacoustic microscopy of mice brain: a simulation study.  Frontiers in Biomed. Tech., vol. 4, pp. 59-69, 2018.
  10. Lv W, Yuan Q, Wang Q, Ma J, Jiang J, Yang W, Feng Q, Chen W, Rahmim A, Lu L. Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT.  Euro. Radiol., In Print, 2018.
  11. Jha AK, Zhu Y, Arridge S, Wong DF, Rahmim A.  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. 1389-1407, 2018.
  12. Emami A, Ghadiri H, Rahmim A, Ay MR.  A novel dual energy method for enhanced quantitative computed tomography.  J. Instrum., vol. 13, pp. P01030, 2018.
  13. Etemadi Z, Ghafarian P, Bitarafan-Rajabi A, Malek H, Rahmim A, Ay MR.  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. 35-46, 2018.
  14. Lu L, Ma X, Mohy-ud-Din H, Ma J, Feng Q, Rahmim A, Chen W.  Enhancement of dynamic myocardial perfusion PET images based on low-rank plus sparse decomposition
  15. Comp. Meth. Prog. Biomed., vol. 154, p. 57-69, 2018.
  16. Rahmim A, Huang P, Shenkov N, Fotouhi S, Davoodi-Bojd E, Lu L, Mari Z, Soltanian-Zadeh H, Sossi V.  Improved prediction of outcome in Parkinson’s disease using radiomics analysis of longitudinal DAT SPECT Images (supplement).  NeuroImage: Clinical, vol. 16, pp. 539-544, 2017.
  17. Sharifpour R, Ghafarian P, Rahmim A, Ay MR.  Quantification and reduction of respiratory induced artifacts in positron emission tomography/computed tomography using the time-of-flight technique.  Nucl. Med. Comm., vol. 38, pp. 948–955, 2017.
  18. Khazaee M, Kamali-Asl A, Geramifar P, Rahmim A.  Low-dose 90Y PET/CT imaging optimized for lesion detectability and quantitative accuracy: a phantom study to assess feasibility of pre-therapy imaging to plan therapeutic dose.  Nucl. Med. Comm., vol. 38, pp. 985–997, 2017.
  19. Gottesman RF et al.  Association between midlife vascular risk factors and estimated brain amyloid deposition.  JAMA, vol. 317, pp. 1443-1450, 2017.
  20. Ashrafinia S, Mohy-ud-Din H, Karakatsanis NA, Jha AK, Casey M, Kadrmas DJ, Rahmim A.  Generalized PSF modeling for optimized quantitation in PET imaging.  Phys. Med. Biol., vol. 62, pp. 5149-5179, 2017.
  21. Shiri I, Rahmim A, Ghaffarian P, Geramifar P, Abdollahi H, Bitarafan-Rajabi A.  The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies.  European Radiology, vol. 27, pp. 4498-4509, 2017.
  22. Anderson BA, Kuwabara H, Wong DF, Roberts J, Rahmim A, Brasic JR, Courtney SM.  Linking dopaminergic reward signals to the development of attentional bias: a positron emission tomographic study. NeuroImage, vol. 157, pp. 27-33, 2017.
  23. Zhang HK, Yan P, Kang J, Abou D, Le HND,  Jha AK, Thorek D, Kang J, Rahmim A, Wong DF, Boctor EM, Loew LM.  Listening to membrane potential: photoacoustic voltage-sensitive dye recording. J. Biomed. Optics, vol. 22, pp. 045006, 2017.
  24. Tang J, Wang X, Gao X, Segars P, Lodge M, Rahmim A.  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.
  25. Ahmadi N, Nasrabadi MN, Karimian A, Rahmim A.  A TLD based method to estimate bowtie filter shape in PET/CT.  Intern. J. Rad. Res., vol. 15, pp. 383-390, 2017.
  26. Gerdekoohi SK, Vosoughi N, Tanha K, Asadi M, Ghafarian P, Rahmim A, Ay MR.  Implementation of absolute quantification in small-animal SPECT imaging: phantom and animal studies.   J. Appl. Clin. Med. Phys., vol. 18, pp. 215-223, 2017.
  27. Knoll P,  Rahmim A, Gültekin S, Samal M, Ljungberg M, Mirzaei S, Segars P, Szczupak B.  Improved scatter correction with factor analysis for planar and SPECT imaging.  Rev. Sci. Instrum., vol. 88, pp. 094303, 2017.
  28. Tang J, Wang X, Rahmim A.  MRI assisted dual motion correction for myocardial perfusion defect detection in PET imaging.  Med. Phys., vol. 44, pp. 4536-4547, 2017.
  29. Jha AK, Mena E, Caffo B, Ashrafinia S, Rahmim A, Frey E, Subramaniam RM.  A practical no-gold-standard evaluation framework for quantitative imaging methods: application to lesion segmentation in PET.  J. Med. Imag., vol. 4, pp. 011011, 2017.
  30. Mena E, Taghipour M, Sheikhbahaei S, Jha AK, Rahmim A, Solnes L, Subramaniam RM.  Value of intratumoral metabolic heterogeneity and quantitative 18F-FDG PET/CT parameters to predict prognosis in patients with HPV-positive primary oropharyngeal squamous cell carcinoma.  Clinic. Nucl. Med., vol. 42, p. e227-e234, 2017.
  31. Soltani M, Sefidgar M, Bazmara H, Casey ME, Subramaniam RM, RL Wahl, Rahmim A.  Spatiotemporal distribution modeling of PET tracer uptake in solid tumors.  Ann. Nucl. Med., vol. 31, pp. 109-124, 2017.
  32. Zeraatkar N, Rahmim A, Sarkar S, Ay MR.  Development and evaluation of image reconstruction algorithms for a novel desktop SPECT system.  Asia Oceania J. Nucl. Med. Biol., vol. 5, pp. 120-133, 2017.
  33. Soufi M, Kamali-Asl A, Geramifar P, Rahmim A.  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. 456-468, 2017.
  34. Rahmim A, Salimpour Y, Jain S, Blinder S, Klyuzhin IS, Smith GS, Mari Z, Sossi V.  Application of texture analysis to DAT SPECT imaging: relationship to clinical assessments.  NeuroImage: Clinical, vol. 12, pp. e1-e9, 2016.
  35. Gottesman RF et al.  The ARIC-PET amyloid imaging study: brain amyloid differences by age, race, sex, and APOE (supplement; also see editorial @ Neurology).  Neurology, vol. 87, pp. 473-480, 2016.
  36. Lu L, Lv W, Jiang J, Ma J, Feng Q, Rahmim A, Chen W.  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. 935-945, 2016.
  37. Karakatsanis NA, Casey ME, Lodge MA, Rahmim A, Zaidi H.  Whole-body direct 4D parametric PET imaging employing nested generalized Patlak expectation-maximization reconstruction (also see 1- featured on news article @ medicalphysicsweb; 2- top 10 most popular PMB articles in 2016).  Phys. Med. Biol., vol. 61, pp. 5456–5485, 2016.
  38. Aalamifar F, Seifabadi R, Bernardo M, Negussie AH, Turkbey B, Merino M, Pinto P, Rahmim A, Wood BJ, Boctor EM.  Ultrasound tomosynthesis: a new paradigm for quantitative imaging of the prostate.  Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 577-584, 2016.
  39. Zeraatkar N, Farahani MH,  Rahmim A, Sarkar S, Ay MR.  Design and assessment of a novel SPECT system for desktop open-gantry imaging of small animals: a simulation study.  Med. Phys., vol. 43, pp. 2581-2597, 2016.
  40. Rahmim A, Schmidtlein CR, Jackson A, Sheikhbahaei S, Marcus C, Ashrafinia S, Soltani M, Subramaniam RM.  A novel metric for quantification of homogeneous and heterogeneous tumors in PET for enhanced clinical outcome prediction.  Phys. Med. Biol., vol. 61, pp. 227-242, 2016.
  41. Soufi M, Kamali-Asl AR, Geramifar P,  Abdoli M, Rahmim A.  Combined fuzzy logic and random walker algorithm for PET image tumor delineation.  Nucl. Med. Comm., vol. 37, 171-181, 2016
  42. Anderson BA, Kuwabara H, Wong DF, Gean EG,  Rahmim A, Brasic JR , George N, Frolov B, Courtney SM, Yantis S.  The role of dopamine in value-based attentional orienting (also see commentary @ Johns Hopkins Magazine).  Current Biology, vol. 26, pp. 550-555, 2016.
  43. Sheikhbahaei S, Wray R, Young B, Mena E, Taghipour M,  Rahmim A, Subramaniam RM.  18F-FDG-PET/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. 231-238, 2016.
  44. Sheikhbahaei S, Marcus C, Wray R, Rahmim A, Lodge MA, Subramaniam RM.  Impact of point-spread function reconstruction on quantitative 18F-FDG-PET/CT imaging parameters and inter-reader reproducibility in solid tumors.  Nucl. Med. Comm., vol. 37, pp. 288-296, 2016.
  45. Bazmara H, Soltani M, Sefidgar M,  Bazargan M, Mousavi M, Rahmim A.  Blood flow and endothelial cell phenotype regulation during sprouting angiogenesis.  Med. Biol. Eng. Comp., vol. 54, pp. 547-558, 2016.
  46. Wray R, Marcus C, Sheikhbahaei S, Zan E, Ferraro R, Rahmim A, Subramaniam RM.  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. 641-647, 2016.
  47. Karakatsanis NA, Zhou Y, Lodge MA, Casey ME, Wahl RL, Zaidi H, Rahmim A.  Generalized whole-body Patlak parametric imaging for enhanced quantification in clinical PET.  Phys. Med. Biol., vol. 40, pp. 8643-8673, 2015.
  48. Mohy-ud-Din H, Lodge MA, Rahmim A.  Quantitative myocardial perfusion PET parametric imaging at the voxel-level.  Phys. Med. Biol., vol. 60, pp. 6013-6037, 2015.
  49. Mohy-ud-Din H, Karakatsanis NA, Willis W, Tahari AK, Wong DF, Rahmim A.  Intra-frame motion compensation in multi-frame brain PET imaging.  Frontiers in Biomed. Tech., vol. 2, pp. 366-379, 2015.
  50. Marcus C, Antoniou A, Rahmim A, Ladenson P, Subramaniam RM.  FDG PET/CT in differentiated thyroid cancer management: importance of clinical justification and value in predicting survival.  J. Med. Imag. Rad. Onc., vol. 59, 281-288, 2015.
  51. Hossain J, Du Y, Links J, Rahmim A, Karakatsanis N, Akhbardeh A, Lyons J, Frey E.  Estimation of dynamic time activity curves from dynamic cardiac SPECT imaging.  Phys. Med. Biol., vol. 60, pp. 3193-3208, 2015.
  52. Bazmara H, Soltani M, Sefidgar M, Bazargan M, Musavi M, Rahmim A.  The vital role of blood flow-induced proliferation and migration in capillary network formation in a multiscale model of angiogenesis.  PLoS ONE, vol. 10, pp. e0128878, 2015.
  53. Lu L, Ma J, Feng Q, Chen W, Rahmim A.  Anatomy-guided brain PET imaging incorporating a joint prior model.  Phys. Med. Biol., vol. 60, pp. 2145-66, 2015.
  54. Tang J, Rahmim A.  Anatomy assisted PET image reconstruction incorporating multi-resolution joint entropy.  Phys. Med. Biol., vol. 60, pp. 31-48, 2015.
  55. Kotasidis FA, Tsoumpas C, Rahmim A.  Advanced kinetic modelling strategies: towards adoption in clinical PET imaging (invited review article).  Clinic. & Transl. Imaging, vol. 2, pp. 219-237, 2014.
  56. Rahmim A, Tahari AK, Schindler TH.  Towards quantitative myocardial perfusion PET in the clinic.  J. Am. Coll. Radiol., vol. 11, pp. 429-432, 2014.
  57. Tahari AK, Bravo PE, Rahmim A, Bengel FM, Szabo Z.  Initial human experience with Rubidium-82 renal PET/CT imaging.  J. Med. Imag. Rad. Onc., vol. 58, pp. 25-31, 2014.
  58. Ghadiri H, Shiran MB, Soltanian-Zadeh HR, Rahmim A, Zaidi H, Ay MR.  Derivation of attenuation map for attenuation correction of PET data in the presence of nanoparticulate contrast agents using spectral CT imaging.  Ann. Nuc. Med., vol. 28, pp. 559-570, 2014.
  59. Ghafarian P, Ay MR, Fard-Esfahani A, Rahmim A, Zaidi H.  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. 159-167, 2014.
  60. Shahpouri Z, Asl AK, Rajabi AB, Hossain J, Entezarmahdi SM, Mohseni S,  Yaghoobi N, Rahmim A.   A comparative assessment of dynamic and conventional Thallium-201 SPECT myocardial perfusion imaging: Monte Carlo simulations and case studies. Frontiers in Biomed. Tech., vol. 1, pp. 91-102, 2014.
  61. Zeraatkar N, Sajedi S, Farahani MH, Arabi H, Sarkar S, Ghafarian P, Rahmim A, Ay MR.  Resolution-recovery-embedded image reconstruction for a high-resolution animal SPECT.  Physica Medica, vol. 30, pp. 774-781, 2014.
  62. Sajedi S, Zeraatkar N, Moji V, Farahani MH, Sarkar S, Arabi H, Tehmoorian B, Ghafarian P, Rahmim A, Ay MR.  Design and development of a high resolution animal SPECT scanner dedicated for rat and mouse imaging.  Nuc. Inst. & Methods in Phys. Research A, vol. 741, pp. 169-176, 2014.
  63. Rahmim A, Tang J, Mohy-ud-Din H.  Direct 4D parametric imaging in dynamic myocardial perfusion PET.  Frontiers in Biomed. Tech., vol. 1, pp. 4-13, 2014.
  64. Karakatsanis NA, Loudos G, Rahmim A, Nikita N.  Monte-Carlo 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. 14-34, 2014.
  65. Alessio AM, Rahmim A, Orton CJ.  Resolution modeling enhances PET imaging (invited point/counterpoint) [erratum].  Med. Phys., vol. 40, pp. 120601, 2013.
  66. Rahmim A, Tang J. Noise propagation in resolution modeled PET imaging and its impact on detectability.  Phys. Med. Biol., vol. 58, pp. 6945-6968, 2013.
  67. Karakatsanis NA, Lodge MA, Tahari AK, Zhou Y, Wahl RL, Rahmim A.  Dynamic whole body PET parametric imaging: I. concept, acquisition protocol optimization and clinical application.  Phys. Med. Biol., vol. 58, pp. 7391-7418, 2013.
  68. Karakatsanis NA, Lodge MA, Zhou Y, Wahl RL, Rahmim A.  Dynamic whole body PET parametric imaging: II. task-oriented statistical estimation.  Phys. Med. Biol., vol. 58, pp. 7419-7445, 2013.
  69. Rahmim A, Qi J, Sossi V  Resolution modeling in PET imaging: theory, practice, benefits, and pitfalls (review article).  Med. Phys., vol. 40, pp. 064301, 2013.
  70. Rahmim A, Tang J, Zaidi H.  Four-dimensional image reconstruction strategies in cardiac-gated and respiratory-gated PET imaging (invited review article).  PET Clinics, vol. 8, pp. 51-67, 2013.
  71. Geramifar P,  Zafarghandi S, Ghafarian P, Rahmim A, Ay MR.  Respiratory-induced 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. 655-665, 2013.
  72. Mehranian A, Ay MR, Rahmim A, Zaidi H.  X-ray CT metal artifact reduction using wavelet domain L0 sparse regularization.  Trans. Med. Imag.,vol. 32, pp. 1707-1722, 2013.
  73. Mehranian A, Ay MR, Rahmim A, Zaidi H.  3D prior image constrained projection completion for X-ray CT metal artifact reduction.  IEEE Trans. Nucl. Sci., vol. 60, pp. 3318-3332, 2013.
  74. Mehranian A, Rahmim A, Ay MR, Kotasidis F, Zaidi H.  An ordered-subsets proximal preconditioned gradient algorithm for edge-preserving PET image reconstruction.  Med. Phys., vol. 40, pp. 052503, 2013.
  75. Sajedi S, Kamali-Asl A, Ay MR, Farahani MH, Rahmim A.  A novel non-linear recursive filter design for extracting high rate pulse features in nuclear medicine imaging and spectroscopy .  Med. Eng. Phys., vol. 35, pp. 754-764, 2013.
  76. Mehranian A, Rad HS, Rahmim A, Ay MR, Zaidi H.  Smoothly clipped absolute deviation (SCAD) regularization for compressed sensing MRI using an augmented Lagrangian scheme.  Mag. Reson. Imag., vol. 31, pp. 1399-1411, 2013.