Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
560-04-004 ISMRM Abstract

Automated Quantification of Peri-Cardiac Fat on Non-Gated Thoracic MRI Using nnU-Net for Opportunistic Screening

Primary: Cardiovascular - Inflammation, Infiltration
Secondary: Body - Chest/Thorax
560-04-004 · Automated Cardiovascular MRI · Wednesday, 13 May, 2:35 PM–3:30 PM · Digital Posters Row A
Keywords: Prevention Screening Cardiac Fat Quantification Artificial Intelligence (AI)
Accepted
Ahmed Gouda1, Saqib A Basar1, Kristin Mae C Esteban1, Javad Khaghani2, Daniel Daly-Grafstein1, Duc Nguyen2, Saurabh Garg3, Siavash Khallaghi2, Yuntong Ma1, Sam Hashemi 3
1Prenuvo, Inc, San Francisco, United States of America
2AI, Prenuvo, Inc, San Francisco, United States of America
3Artificial Intelligence, Prenuvo, Inc, San Francisco, United States of America
Presenting Author: Sam Hashemi

Synopsis

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References

1. Davidovich D, Gastaldelli A, Sicari R. Imaging cardiac fat. European Heart Journal - Cardiovascular Imaging. July 2013;14(7):625-630. doi: 10.1093/ehjci/jet045. [doi]
2. Al-Makhamreh HK, Toubasi AA, Al-Harasis LM, Albustanji FH, Al-Sayegh TN, Al-Harasis SM. Pericardial fat and cardiovascular diseases: A systematic review and meta-analysis. J Evid Based Med. 2023; 16: 178–185. https://doi.org/10.1111/jebm.12542 [doi]
3. Zhang F, Wang J-P, Jiang W. An integrative classification model for multiple sclerosis lesion detection in multimodal MRI. Stat Its Interface. 2019;12:193-202.
4. Chevrefils C, Cheriet F, Grimard G, Miron M-C, Aubin C-E. Quantitative evaluation of an automatic segmentation method for 3D reconstruction of intervertebral scoliotic disks from MR images. BMC Med Imaging. 2012;12:26. doi:10.1186/1471-2342-12-26 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/560-04-004