TRUS/MRI fusion-guided prostate biopsy based on improved intracavitary markers

doi:10.1145/3135954.3135961

	TRUS/MRI fusion-guided prostate biopsy based on improved intracavitary markers
	Chen, Yunjie 1; Zhang, Su 1; Gao, Fen 2; Chen, Yaqing 2; He, Jiangping3 ; Qi, Tingyue 2
	2017-09-08
会议名称	2017 International Conference on Bioinformatics and Computational Intelligence, ICBCI 2017
会议录名称	ACM International Conference Proceeding Series
页码	6-10
会议日期	2017-09-08 - 2017-09-11
会议地点	Beijing, China
出版者	Association for Computing Machinery, 2 Penn Plaza, Suite 701, New York, NY 10121-0701, United States
摘要	Guiding prostate biopsy with the fusion of magnetic resonance imaging (MRI) and transrectal ultrasonography (TRUS) could improve the diagnostic rate of prostate cancer. Matching and registering the images of the prostate in MRI and TRUS are the two main problems encountered in fusion-guided biopsy. In this paper, our team presents a method to match corresponding slices from MRI and TRUS based on improved intracavitary markers and image processing. Based on our previous work, we implement the modified thin plate spline-robust point matching to the contour of the prostate for non-rigid registration. The result of our experiments on a dog show that our method based on intracaviraty markers can improve image fusion between TRUS and MRI. © 2017 ACM.
关键词	Bioinformatics Biopsy Diseases Image enhancement Intelligent computing Magnetic resonance imaging Urology Intracavitary marker Nonrigid registration Prostate biopsy Prostate cancers Slice match Thin plate spline-robust point matching Transrectal ultrasonography
DOI	10.1145/3135954.3135961
收录类别	EI
语种	英语
EI入藏号	20180604764323
文献类型	会议论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/9701
专题	信息工程与人工智能学院
作者单位	1.School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China; 2.Department of Ultrasound, Xin Hua Hospital, Shanghai, China; 3.Department of Computer Science, Lanzhou University of Finance and Economics, Lanzhou, China
推荐引用方式 GB/T 7714	Chen, Yunjie,Zhang, Su,Gao, Fen,et al. TRUS/MRI fusion-guided prostate biopsy based on improved intracavitary markers[C]:Association for Computing Machinery, 2 Penn Plaza, Suite 701, New York, NY 10121-0701, United States,2017:6-10.