Other

National Central University

Taipei Medical University

Meng-Zong Tsai

Syu-Jyun Peng

Jang-Zern Tsai

Yu-Wei Chen

Kuo-Wei Wang

Yeh-Lin Kuo

The present disclosure provides an operating method of an automatic brain infarction detection system on magnetic resonance imaging (MRI), which includes steps as follows. Images corresponding to different slices of a brain of a subject are received from the MRI machine. The image mask process is performed on first and second images of the images. It is determined whether the cerebellum image intensity and the brain image intensity in the first image are matched. When the cerebellum image intensity and the brain image intensity are not matched, the cerebellar image intensity in the first image is adjusted. The first image is processed through a nonlinear regression to obtain a third image. A neural network identify an infarct region by using the first, second and third images that are cut.

Automatic brain infarction detection system on magnetic resonance imaging and operation method thereof

Growing community of inventors

Taoyuan, Taiwan

Meng-Zong Tsai