Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
560-06-003 ISMRM Abstract

AI Reconstruction Technique Improves Image Quality Metrics and Preserves Quantitative Values in Cardiovascular CINE MRI

Primary: Cardiovascular
Secondary: Acquisition & Reconstruction - Image Reconstruction: AI
560-06-003 · AI Image Processing · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row A
Keywords: Quantitative MRI CINE AI-Accelerated MRI
Accepted
Spencer Waddle 1,2, Enas A Ahmed2, Tzu Cheng Chao2, Omer B Demirel1,2, Dinghui Wang2, Jacinta G Browne2, Tim Leiner2
1MR Clinical Science, Philips North America, Rochester, United States of America
2Department of Radiology, Mayo Clinic Rochester, Rochester, United States of America
Presenting Author: Spencer Waddle

Synopsis

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References

1. 1. Oscanoa JA, Middione MJ, Alkan C, Yurt M, Loecher M, Vasanawala SS, Ennis DB. Deep Learning-Based Reconstruction for Cardiac MRI: A Review. Bioengineering (Basel). 2023 Mar 6;10(3):334. doi: 10.3390/bioengineering10030334. PMID: 36978725; PMCID: PMC10044915. [doi] [pmid]
2. 2. Küstner T, Qin C, Sun C, Ning L, Scannell CM. The intelligent imaging revolution: artificial intelligence in MRI and MRS acquisition and reconstruction. MAGMA. 2024 Jul;37(3):329-333. doi: 10.1007/s10334-024-01179-2. Epub 2024 Jun 20. PMID: 38900344; PMCID: PMC11316718. [doi] [pmid]
3. 3. Fotaki A, Puyol-Antón E, Chiribiri A, Botnar R, Pushparajah K, Prieto C. Artificial Intelligence in Cardiac MRI: Is Clinical Adoption Forthcoming? Front Cardiovasc Med. 2022 Jan 10;8:818765. doi: 10.3389/fcvm.2021.818765. PMID: 35083303; PMCID: PMC8785419. [doi] [pmid]
4. 4. Ye, J.C. Compressed sensing MRI: a review from signal processing perspective. BMC biomed eng 1, 8 (2019). https://doi.org/10.1186/s42490-019-0006-z [doi]
5. 5. Curtis AD, Cheng HM. Primer and Historical Review on Rapid Cardiac CINE MRI. J Magn Reson Imaging. 2022 Feb;55(2):373-388. doi: 10.1002/jmri.27436. Epub 2020 Nov 12. PMID: 33179830. [doi] [pmid]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/560-06-003