Automated texture-based segmentation of ultrasound images of the prostate

被引：80
|
作者：
Richard, WD
Keen, CG
机构：
[1] Washington University in St. Louis, Dept. of Electrical Engineering, Campus Box 1127, St Louis, MO 63130, One Brookings Drive
[2] Scientific Research Corporation, Atlanta, GA 30339
来源：
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 1996年 / 20卷 / 03期
关键词：
automated; clustering; prostate; texture; three-dimensional imaging; transrectal; segmentation; ultrasound;
D O I：
10.1016/0895-6111(96)00048-1
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Segmenting two-dimensional images of the prostate into prostate and nonprostate regions is required when forming a three-dimensional image of the prostate from a set of parallel two-dimensional images. The texture-based segmentation method presented here is a pixel classifier based on four texture energy measures associated with each pixel in the image. An automated clustering procedure is used to label each pixel in the image with the label of its most probable class. The segmented images produced as the result of applying the algorithm to an example image are presented and discussed. The automated segmentation algorithm has been found to hold promise as an automated segmentation method. Copyright (C) 1996 Elsevier Science Ltd.
引用
收藏
页码：131 / 140
页数：10
相关论文
共 50 条
  • [1] Automated texture-based segmentation of ultrasound images of the prostate
    Washington University in St. Louis, Dept. of Electrical Engineering, Campus Box 1127, One Brookings Drive, St Louis, MO 63130, United States
    不详
    [J]. COMPUT. MED. IMAGING GRAPH., 3 (131-140):
  • [2] Automatic segmentation of intravascular ultrasound images: A texture-based approach
    Aleksandra Mojsilović
    Miodrag Popović
    Nenad Amodaj
    Rade Babić
    Miodrag Ostojić
    [J]. Annals of Biomedical Engineering, 1997, 25 : 1059 - 1071
  • [3] Automatic segmentation of intravascular ultrasound images: A texture-based approach
    Aleksandra Mojsilović
    Miodrag Popović
    Nenad Amodaj
    Rade Babić
    Miodrag Ostojić
    [J]. Annals of Biomedical Engineering, 1997, 25 (6) : 1059 - 1071
  • [4] Automatic segmentation of intravascular ultrasound images: A texture-based approach
    Mojsilovic, A
    Popovic, M
    Amodaj, N
    Babic, R
    Ostojic, M
    [J]. ANNALS OF BIOMEDICAL ENGINEERING, 1997, 25 (06) : 1059 - 1071
  • [5] Texture-based instrument segmentation in 3D ultrasound images
    Linguraru, Marius George
    Howe, Robert D.
    [J]. MEDICAL IMAGING 2006: IMAGE PROCESSING, PTS 1-3, 2006, 6144
  • [6] Texture-based forest segmentation in satellite images
    Sai, S. V.
    Mikhailov, E. V.
    [J]. INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGIES IN BUSINESS AND INDUSTRY 2016, 2017, 803
  • [7] Texture-based filtering and front-propagation techniques for the segmentation of ultrasound images
    Aleman-Flores, Miguel
    Aleman-Flores, Patricia
    Alvarez-Leon, Luis
    Esteban-Sanchez, M. Belen
    Fuentes-Pavon, Rafael
    Santana-Montesdeoca, Jose M.
    [J]. COMPUTER AIDED SYSTEMS THEORY- EUROCAST 2007, 2007, 4739 : 960 - +
  • [8] Automated segmentation of 3D US prostate images using statistical texture-based matching method
    Zhan, YQ
    Shen, DG
    [J]. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2003, PT 1, 2003, 2878 : 688 - 696
  • [9] A TEXTURE-BASED APPROACH TO THE SEGMENTATION OF SEISMIC IMAGES
    PITAS, I
    KOTROPOULOS, C
    [J]. PATTERN RECOGNITION, 1992, 25 (09) : 929 - 945
  • [10] Segmentation of kidney from ultrasound B-mode images with texture-based classification
    Wu, Chia-Hsiang
    Sun, Yung-Nien
    [J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2006, 84 (2-3) : 114 - 123
12345