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Abstract #0961

Texture-Based Classification of Advanced Carotid Atherosclerotic Lesions on Multi-contrast Black-blood MRI at 3.0 Tesla: A Pilot Study

Huilin Zhao1, Shiteng Suo1, Peipei Hao1, Xiaosheng Liu1, Xihai Zhao2, Yongming Dai3, Chun Yuan4, and Jianrong Xu1

1Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, People's Republic of, 2Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China, People's Republic of, 3Philips Healthcare, Shanghai, China, People's Republic of, 4Radiology, University of Washington, Seattle, WA, United States

Texture analysis with the combined set of texture features may be useful in discriminating vulnerable plaque. This study sought to determine the feasibility of texture analysis for the classification of American Heart Association (AHA) type IV-V and type VI carotid atherosclerotic lesions at multi-contrast black-blood MR images. Our results suggest that texture-based classification of type IV-V and type VI lesions is feasible on precontrast T1-weighted images. This preliminary evaluation indicates that carotid plaque texture analysis is a potentially useful adjunct tool for quantitative evaluation of atherosclerotic plaque vulnerability.

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