Research on Detection of Prostate Cancer MR Images based on Information Fusion

被引：0
|
作者：
Zhang Liangbin [1 ]
Ma Wenjun [1 ]
Chen Li [2 ]
Zhang Su [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Biomed Engn, Shanghai 200030, Peoples R China
[2] NCI, Pediat Oncol Branch, Bethesda, MD 20892 USA
来源：
2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) | 2014年
关键词：
prostate cancer; magnetic resonance imaging; information fusion; COMPUTER-AIDED DIAGNOSIS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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,VERI, 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.
引用
收藏
页码：1094 / 1098
页数：5
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