Paper
20 April 2021 Prediction of anterior cruciate ligament injury from MRI using deep learning
Author Affiliations +
Proceedings Volume 11792, International Forum on Medical Imaging in Asia 2021; 117920F (2021) https://doi.org/10.1117/12.2590855
Event: International Forum on Medical Imaging in Asia 2021, 2021, Taipei, Taiwan
Abstract
Knee injury emerges as one of the most common diseases, causing dislocation of knee joints, immobility, etc., in which the anterior cruciate ligament (ACL) injury is the most common one. The development of various artificial intelligence (AI) frameworks gained enormous attention in many areas, including injury prediction and health management via medical image analysis. The objective of the current study is to focus on a comprehensive high accurate prediction of ACL injury based on MRI medical images, and also demonstrate the ability of AI in practical and outline conceptual prediction and diagnosis frameworks for other types of knee injuries in the future. Our dataset comprised of knee MRI reports from Cho Ray Hospital, Vietnam which are composed of ACL and non-ACL injury patients. The MRI images were used as supporting data in the deep learning classification model with DenseNet-121 algorithm. The successful establishment of an ACL injury diagnosis model from MRI will pave the way for us to develop more diagnostic models of other injuries in the body as well as the prediction of bone diseases.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nguyen Khanh Hung Truong, Thuan Phuoc Nguyen, Quang Hien Kha, Ngoc Hoang Le, Van Tuan Le, Thi Cao, Ho Thanh Lam Luu, Nguyen Quoc Khanh Le, and Jiunn-Horng Kang "Prediction of anterior cruciate ligament injury from MRI using deep learning", Proc. SPIE 11792, International Forum on Medical Imaging in Asia 2021, 117920F (20 April 2021); https://doi.org/10.1117/12.2590855
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