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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