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Abstract #1827

Optimizing Imaging Quality for Quantitative Multi-Contrast Atherosclerosis Characterization (qMATCH): Transverse versus Coronal Imaging

Yin-Chen Hsu1, Meng Lu1, Mary J. Keushkerian2,3, Kim-Lien Nguyen2,3, Kevin Johnson4, Maria Altbach4,5, H. Douglas Morris6, Kevin Demarco6, Vibhas Deshpande7, Dimitrios Mitsouras8, David Saloner8, Scott McNally9, Seong-Eun Kim9, John Roberts9, Rock Hadley9, Gerald Treiman10, Dennis Parker9, Debiao Li1, and Yibin Xie1
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Departments of Cardiology, Radiology, and Bioengineering, University of California, Los Angeles, CA, United States, 3VA Greater Los Angeles Healthcare System, Los Angeles, CA, United States, 4Department of Medical Imaging, University of Arizona, Tucson, AZ, United States, 5Department of Biomedical Engneering, University of Arizona, Tucson, AZ, United States, 6Walter Reed National Military Medical Center, Bethesda, MD, United States, 7Siemens Healthineers, Austin, TX, United States, 8Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 9Department of Radiology & Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 10VA Salt Lake City Health Care System, Salt Lake City, UT, United States

Synopsis

Keywords: Quantitative Imaging, Vessel Wall, Multi‐Contrast, Acquisition Methods

Motivation: The previously proposed qMATCH technique enables efficient and comprehensive evaluation of carotid atherosclerosis in 3D; however, it is unclear which acquisition orientation is optimal in image quality and motion robustness.

Goal(s): This study compares the imaging quality and reproducibility of 3D qMATCH with transverse versus coronal acquisitions.

Approach: We conducted a comparative analysis of qMATCH imaging quality, assessing human reader ratings, apparent signal-to-noise ratio (aSNR), apparent contrast-to-noise ratio (aCNR), and reproducibility of T1 and T2 mapping.

Results: Coronal acquisition yielded significantly superior image quality ratings, higher reproducibility and motion robustness, though it exhibited inferior overall aSNR and aCNR.

Impact: The results provide an optimal imaging strategy for using qMATCH in carotid atherosclerosis assessment. We demonstrate a tailored approach by incorporating both transverse and coronal acquisitions.

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Abstract

Keywords