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Abstract #0634

Deep-learning-based scoring for inflammatory lesions using SPARCC system

Yingying Lin1, Yin Chung Ho2, Shirley Chui Wai Chan3, Kam Ho Lee4, and Peng Cao3
1the university of HongKong, Hongkong, Hong Kong, 2Chiron Medical, HongKong, Hong Kong, 3the university of HongKong, HongKong, Hong Kong, 4Queen Mary Hospital, HongKong, Hong Kong

Synopsis

Keywords: Joints, Joints, deep learning, MRI, Ankylosing spondylitisOur work proposed a work pipeline to automatic score the inflammatory lesion based on the SPARCC scoring system. This pipeline included the reference vessel intensity set-up, template-based registration, and lesion detection with scoring. With this pipeline, a time-saving and objective scoring method based on SPARCC scoring system could be achieved and widely applied to AS patient management. Our result showed reasonable performance for score-2 and score-3 lesions demonstrating the deep learning initial capacity of performing the SPARCC scoring.

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Keywords