Artificial intelligence-based volumetric analysis of muscle atrophy and fatty degeneration in patients with hip osteoarthritis and its correlation with health-related quality of life

Overall scheme for modelling the shape variations associated with liver fibrosis stage and predicting it fromMR images by using PLSR-based shape features (scores)

Abstract

Artificial intelligence (AI) technologies have enabled precise three-dimensional analysis of individual muscles on computed tomography (CT) or magnetic resonance images via automatic segmentation. This study aimed to perform three-dimensional assessments of pelvic and thigh muscle atrophy and fatty degeneration in patients with unilateral hip osteoarthritis using CT and to evaluate the correlation with health-related quality of life (HRQoL).

Publication
International Journal of Computer Assisted Radiology and Surgery
Mazen Soufi
Mazen Soufi
Assistant Professor

I’m an assistant professor in the Division of Information Science at NAIST, and I apply data-driven approaches to model disease progression from large-scale databases of medical images.