Biopsy needle detection in transrectal ultrasound

被引:23
作者
Ayvaci, Alper [1 ]
Yan, Pingkun [2 ]
Xu, Sheng [3 ]
Soatto, Stefano [1 ]
Kruecker, Jochen [3 ]
机构
[1] Univ Calif Los Angeles, Los Angeles, CA 90095 USA
[2] Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Beijing 100864, Peoples R China
[3] Philips Res N Amer, Briarcliff Manor, NY 10510 USA
关键词
Needle detection; Interventional guidance; Prostate; Transrectal ultrasound; Fusion; Prior knowledge; ENERGY MINIMIZATION; SEGMENTATION;
D O I
10.1016/j.compmedimag.2011.03.005
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Using the fusion of pre-operative MRI and real time intra-procedural transrectal ultrasound (TRUS) to guide prostate biopsy has been shown as a very promising approach to yield better clinical outcome than the routinely performed TRUS only guided biopsy. In several situations of the MRI/TRUS fusion guided biopsy, it is important to know the exact location of the deployed biopsy needle, which is imaged in the TRUS video. In this paper, we present a method to automatically detect and segment the biopsy needle in TRUS. To achieve this goal, we propose to combine information from multiple resources, including ultrasound probe stability, TRUS video background model, and the prior knowledge of needle orientation and position. The proposed algorithm was tested on TRUS video sequences which have in total more than 25,000 frames. The needle deployments were successfully detected and segmented in the sequences with high accuracy and low false-positive detection rate. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:653 / 659
页数:7
相关论文
共 13 条
[1]  
*AM CANC SOC, 2008, PROST CANC
[2]   Fast approximate energy minimization via graph cuts [J].
Boykov, Y ;
Veksler, O ;
Zabih, R .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2001, 23 (11) :1222-1239
[3]   An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision [J].
Boykov, Y ;
Kolmogorov, V .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2004, 26 (09) :1124-1137
[4]   Utility of a 3-Dimensional Transrectal Ultrasound-guided Prostate Biopsy System for Prostate Cancer Detection [J].
Chen, Valerie H. ;
Mouraviev, Vladimir ;
Mayes, Janice M. ;
Sun, Leon ;
Madden, John F. ;
Moul, Judd W. ;
Polascik, Thomas J. .
TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2009, 8 (02) :99-103
[5]   A real-time biopsy needle segmentation technique using Hough Transform [J].
Ding, MY ;
Fenster, A .
MEDICAL PHYSICS, 2003, 30 (08) :2222-2233
[6]   An algorithm for automatic needle localization in ultrasound-guided breast biopsies [J].
Draper, KJ ;
Blake, CC ;
Gowman, L ;
Downey, DB ;
Fenster, A .
MEDICAL PHYSICS, 2000, 27 (08) :1971-1979
[7]  
Hartmann Philipp, 2009, BILDVERARBEITUNG MED, P341
[8]   What energy functions can be minimized via graph cuts? [J].
Kolmogorov, V ;
Zabih, R .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2004, 26 (02) :147-159
[9]  
Kruecker J, 2007, SPIE MED IMAGING, V6509
[10]   Methods for segmenting curved needles in ultrasound images [J].
Okazawa, Stephen H. ;
Ebrahimi, Richelle ;
Chuang, Jason ;
Rohling, Robert N. ;
Salcudean, Septimiu E. .
MEDICAL IMAGE ANALYSIS, 2006, 10 (03) :330-342