Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
465-04-002 ISMRM Abstract

Improving Diagnostic Confidence in Neuroimaging with MR-Guided PET Reconstruction

Primary: Neuro - Epilepsy
Secondary: Acquisition & Reconstruction - Quantitative Imaging: head and neck
465-04-002 · Image Analysis for Alzheimer's and Parkinson's · Tuesday, 12 May, 2:35 PM–3:30 PM · Digital Posters Row F
Keywords: Alzheimer's Disease Image Reconstruction PET/MR Neuroradiology Focal Epilepsy
Accepted
Matthew Spangler-Bickell1, Daniel Litwiller2, Jack McCarty1, Guido Davidzon3, Greg Zaharchuk3, Kip E Guja3, Mehdi Khalighi3, Farshad Moradi3
1GE HealthCare, Waukesha, United States of America
2GE HealthCare, Denver, United States of America
3Department of Radiology, Stanford University, Stanford, United States of America
Presenting Author: Hugo Decker

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. J. Ivanidze et al., “ASNR Consensus Statement: Integrating Neuro-PET Interpretation into Neuroradiology Training and Practice,” AJNR Am J Neuroradiol, p. ajnr.A8959, Aug. 2025, doi: 10.3174/ajnr.A8959. [doi]
2. S. Ahn and J. A. Fessler, “Globally convergent image reconstruction for emission tomography using relaxed ordered subsets algorithms,” IEEE Trans. Med. Imaging, vol. 22, no. 5, pp. 613–626, May 2003, doi: 10.1109/TMI.2003.812251. [doi]
3. M. G. Spangler-Bickell, S. A. Hurley, A. Pirasteh, S. B. Perlman, T. Deller, and A. B. McMillan, “Evaluation of Data-Driven Rigid Motion Correction in Clinical Brain PET Imaging,” J Nucl Med, vol. 63, no. 10, pp. 1604–1610, Oct. 2022, doi: 10.2967/jnumed.121.263309. [doi]
4. J. E. Bowsher et al., “Utilizing MRI Information to Estimate F18-FDG Distributions in Rat Flank Tumors,” in IEEE Symposium Conference Record Nuclear Science 2004., Rome, Italy: IEEE, 2004, pp. 2488–2492. doi: 10.1109/NSSMIC.2004.1462760. [doi]
5. K. Vunckx and J. Nuyts, “Heuristic modification of an anatomical Markov prior improves its performance,” in IEEE Nuclear Science Symposuim & Medical Imaging Conference, Knoxville, TN: IEEE, Oct. 2010, pp. 3262–3266. doi: 10.1109/NSSMIC.2010.5874408. [doi]
6. M. M. Khalighi et al., “A Novel Method in PET Image Reconstruction Using MRI Anatomical Priors,” IEEE Transactions on Radiation and Plasma Medical Sciences, pp. 1–1, 2025, doi: 10.1109/TRPMS.2025.3553409. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/465-04-002