303-01-003 ISMRM Abstract

Patch2Voxel: Denoising perfusion MRI with Self-Supervised Learning

Primary: Analysis Methods - Image Synthesis and Translation

Secondary: Neuro - Tumors

303-01-003 · AI Methods Beyond Reconstruction · Monday, 11 May, 8:20 AM–10:10 AM · Auditorium 1

Keywords: DSC & DCE Perfusion Machine Learning/Artificial Intelligence Denoising SNR improvement Self-supervised learning

Accepted

Puneet Kumar ¹, Natenael Semmineh², Indranil Guha³, C. Chad Quarles^1,4,5,6

¹Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, United States of America

²MD Anderson Cancer Center, Houston, United States of America

³Cancer Systems Imaging, MD Anderson Cancer Center, Houston, United States of America

⁴Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, United States of America

⁵Cancer Neuroimaging Research Program, The University of Texas MD Anderson Cancer Center, Houston, United States of America

⁶Cancer Neuroscience Program, The University of Texas MD Anderson Cancer Center, Houston, United States of America

Presenting Author: Puneet Kumar

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.

References

1. https://doi.org/10.48550/arXiv.2011.01355 [doi]

2. https://doi.org/10.48550/arXiv.2308.00247 [doi]

3. PMID: 38445104 [pmid]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/303-01-003