Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline.

Journal: European radiology

Published Date: Dec 1, 2023

OBJECTIVES: This study aims at a fully automatic pipeline for measuring the magnetic resonance parkinsonism index (MRPI) using deep learning methods.

Fuhai Sun

Department of Electronic and Electrical Engineering, College of Engineering, Southern University of Science and Technology, Xili, Nanshan, Shenzhen, 518055, People's Republic of China.
Junyan Lyu

Department of Electronic and Electrical Engineering, College of Engineering, Southern University of Science and Technology, Xili, Nanshan, Shenzhen, 518055, People's Republic of China.
Si Jian

Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue, Wuhan, 430030, People's Republic of China.
Yuanyuan Qin

Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue, Wuhan, 430030, People's Republic of China. qinyuanyuan-1021@163.com.
Xiaoying Tang

Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China.

Deep Learning Humans Magnetic Resonance Imaging Magnetic Resonance Spectroscopy Parkinson Disease Parkinsonian Disorders Supranuclear Palsy, Progressive

View on PubMed Access via DOI PubMed (37480547)