Research on detection of prostate cancer MR images based on information fusion

The study evaluated a method of computer-assisted diagnosis (CAD) by introducing information fusion into the clinical diagnosis of prostate cancer. Based on the multi-parameter magnetic resonance imaging (MRI) including T2-weighed, diffusion-weighed, and dynamic contrast enhanced MRI, image fusion was applied on the pixel and decision levels, respectively. Results showed that fusion on the decision level obtained superior results in detecting prostate cancer and showing the distribution of benign and malignant tumors, thus, demonstrating its potential for CAD. Several information fusion algorithms were compared using MRI to develop an appropriate method for prostate cancer diagnosis.