Conference proceedings

2020

  • R. Fedrigo, D. Kadrmas, P. Edem, L. Fougner, I. Klyuzhin, M. P. Petric, F. Bénard, A. Rahmim, and C. Uribe
    Optimization of Quantitative [18F]DCFPyL PET using a Realistic Anthropomorphic Phantom with Shell-less Radioactive Epoxy Lesions
    Proc. Annual EANM Meeting, 2020.
  • J. Brosch, C. Uribe, A. Gosewisch, L. Kaiser, P. Bartenstein, A. Todica, H. Ilhan, A. Rahmim, A. Celler, S. Ziegler, and G. Böning
    Lesion-wise dosimetry for multiple bone metastases in mCRPC patients undergoing Lu-177- PSMA therapy: comparison of five dosimetric methods
    Proc. Annual EANM Meeting, 2020.
  • J. Brosch, C. Uribe, A. Gosewisch, L. Kaiser, P. Bartenstein, A. Todica, H. Ilhan, A. Rahmim, A. Celler, S. Ziegler, and G. Böning
    Performance comparison of different dosimetry methods with respect to complexity and accuracy
    Proc. Annual EANM Meeting, 2020.
  • X. Hou, J. Brosh, G. Boning, A. Celler, and A Rahmim
    Accuracy and limitation of using single-time-point dosimetry for theranostics
    Proc. Annual AAPM Meeting, 2020.
  • J. Brosh, C. Uribe, A. Gosewisch, L. Kaiser, P. Bartenstein, A. Rahmim, A. Celler, S. Ziegler, and G. Boening
    Comparison of bone lesion dosimetry based on voxel S-values and Monte Carlo simulation for Lu-177-PSMA-therapy of mCRPC patients with pronounced bone metastases
    Proc. Annual AAPM Meeting, 2020.
  • D. Black, Y. Oloumi, J. Wong, R. Fedrigo, C. Uribe, D. Kadrmas, A. Rahmim, and I. Klyuzhin
    Design and manufacture of anatomically realistic, actuated, elastic lung inserts for PET/CT phantom studies with respiratory motion
    Proc. Annual AAPM Meeting, 2020.
  • M. Salmanpour, M. Shamsaei, A. Saberi, G. Hajianfar, H. Soltanian-Zadeh, and A. Rahmim
    Radiomic features combined with hybrid machine learning robustly identify Parkinson’s disease subtypes
    Proc. Annual AAPM Meeting, 2020.
  • R. Fedrigo, D. Kadrmas, P. Edem, F. Benard, A. Rahmim, and C. Uribe-Munoz
    Phantom-guided optimization of BSREM reconstruction parameters using shell-less radioactive epoxy lesions for [18F]F-DCFPyL prostate cancer imaging
    Proc. Annual AAPM Meeting, 2020.
  • I. Klyuzhin and A. Rahmim
    Shape analysis in PET images using convolutional neural nets: limitations of standard architectures
    Proc. Annual AAPM Meeting, 2020.
  • C. Miller, A. Rahmim, C. Uribe-munoz, and A. Celler
    Quantitative imaging of 177Lu in the presence of 90Y for peptide receptor radionuclide therapy: a simulation study
    Proc. Annual AAPM Meeting, 2020.
  • M. Salmanpour, A. Saberi, G. Hajianfar, M. Shamsaei, H. Soltanian-Zadeh, and A. Rahmim
    Cluster analysis on longitudinal data of Parkinson’s disease subjects
    Proc. Annual AAPM Meeting, 2020.
  • A. Hart, T. O’Briain, M. Bazalova-Carter, A. Rahmim, W. Beckham, and C. Uribe-munoz
    Optimization of [18F]FDG injected activity for a new GE discovery MI PET/CT scanner using a NEMA phantom
    Proc. Annual AAPM Meeting, 2020.
  • J. Kang et al.
    Transcranial photoacoustic imaging of NMDA-evoked focal circuit dynamics in rat hippocampus
    Proc. Intl. Symp. on Functional Neuroreceptor Mapping of the Living Brain (NRM), 2020.
  • M. Bilgel, Y. Zhu, O. Rousset, D. F. Wong, S. M. Resnick, and A. Rahmim
    Objective evaluation of voxelwise partial volume correction methods in brain PET imaging
    J. Nucl. Med., vol. 61 (suppl. 1): 72, 2020.
  • M. R. Salmanpour, A. Saberi, M. Shamsaei, and A. Rahmim
    Optimal feature selection and machine learning for prediction of outcome in Parkinson’s disease
    J. Nucl. Med., vol. 61 (suppl. 1): 524, 2020.
  • M. R. Salmanpour, M. Shamsaei, A. Saberi, G. Hajianfar, S. Ashrafinia, E. Davoodi-Bojd, H. Soltanian-Zadeh, and A. Rahmim
    Hybrid machine learning methods for robust identification of parkinson’s disease subtypes
    J. Nucl. Med., vol. 61 (suppl. 1): 1429, 2020.
  • O. Rousset, A. Nandi, Y. Zhu, A. Rahmim, and D. Wong
    Deriving resolution-compensated PET images from the GTM partial volume correction method
    J. Nucl. Med., vol. 61 (suppl. 1): 1399, 2020.
  • E. Petersen, P. Neilson, A. LaBella, A. Howansky, X. Cao, Z. Wang, C. Woody, A. Biegon, A. Rahmim, W. Zhao, and A. H. Goldan
    Performance simulation of high resolution and high sensitivity Prism-PET brain scanner
    J. Nucl. Med., vol. 61 (suppl. 1): 1502, 2020.
  • R. F. Gottesman et al.
    Associations between vascular risk, amyloid burden and incident dementia: the ARIC-PET study
    Stroke, vol. 51 (Suppl. 1): WP479, 2020.

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