3D prostate boundary segmentation from ultrasound rmages using 2D active shape models

被引：0
|
作者：
Hodge, Adam C. [1 ]
Ladak, Hanif M. [2 ]
机构：
[1] Univ Western Ontario, Dept Med Biophys, London, ON N6A 5C1, Canada
[2] Univ Western Ontario, Dept Med Biophys, Dept Elect & Comp Engn, London, ON N6A 5C1, Canada
来源：
2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15 | 2006年
基金：
加拿大自然科学与工程研究理事会;
关键词：
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Boundary outlining, or segmentation, of the prostate is an important task in diagnosis and treatment planning for prostate cancer. This paper describes an algorithm for semi-automatic, three-dimensional (3D) segmentation of the prostate boundary from ultrasound images based on two-dimensional (2D) active shape models (ASM) and rotation-based slicing. Evaluation of the algorithm used distance- and volume-based error metrics to compare algorithm generated boundary outlines to gold standard (manually generated) boundary outlines. The mean absolute distance between the algorithm and gold standard boundaries was 1.09 +/- 0.49 mm, the average percent absolute volume difference was 3.28 +/- 3.16%, and a 5x speed increase as compared manual planimetry was achieved.
引用
收藏
页码：1662 / +
页数：2
相关论文
共 50 条
  • [1] Prostate boundary segmentation from ultrasound images using 2D active shape models: Optimisation and extension to 3D
    Hodge, Adam C.
    Fenster, Aaron
    Downey, Donal B.
    Ladak, Hanif M.
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2006, 84 (2-3) : 99 - 113
  • [2] 2D and 3D shape based segmentation using deformable models
    El-Baz, A
    Yuksel, SE
    Shi, HJ
    Farag, AA
    El-Ghar, MA
    Eldiasty, T
    Ghoneim, MA
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2005, PT 2, 2005, 3750 : 821 - 829
  • [3] Prostate boundary segmentation from 2D ultrasound images
    Ladak, HM
    Mao, F
    Wang, YQ
    Downey, DB
    Steinman, DA
    Fenster, A
    MEDICAL PHYSICS, 2000, 27 (08) : 1777 - 1788
  • [4] Prostate boundary segmentation from 3D ultrasound images
    Hu, N
    Downey, DB
    Fenster, A
    Ladak, HM
    MEDICAL PHYSICS, 2003, 30 (07) : 1648 - 1659
  • [5] Prostate segmentation from 3D transrectal ultrasound using statistical shape models and various appearance models
    Heimann, T.
    Baumhauer, M.
    Simpfendoerfer, T.
    Meinzer, H. -P.
    Wolf, I.
    MEDICAL IMAGING 2008: IMAGE PROCESSING, PTS 1-3, 2008, 6914
  • [6] Segmentation of the Common Carotid Artery with Active Shape Models from 3D Ultrasound Images
    Yang, Xin
    Jin, Jiaoying
    He, Wanji
    Ming Yuchi
    Ding, Mingyue
    MEDICAL IMAGING 2012: COMPUTER-AIDED DIAGNOSIS, 2012, 8315
  • [7] 3D SHAPE ESTIMATION OF AN ACTIVE NEEDLE INSIDE TISSUE USING 2D ULTRASOUND IMAGES
    Konh, Bardia
    Batsaikhan, Zolboo
    Padasdao, Blayton
    PROCEEDINGS OF THE 2021 DESIGN OF MEDICAL DEVICES CONFERENCE (DMD2021), 2021,
  • [8] Evaluation of algorithms for segmentation of the prostate boundary from 3D ultrasound images
    Ladak, HM
    Ding, MY
    Wang, YQ
    Hu, N
    Downey, DB
    Fenster, A
    MEDICAL IMAGING 2004: IMAGE PROCESSING, PTS 1-3, 2004, 5370 : 1403 - 1410
  • [9] Real-time active shape models for segmentation of 3D cardiac ultrasound
    Hansegard, Joger
    Orderud, Fredrik
    Rabben, Stein I.
    COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS, 2007, 4673 : 157 - 164
  • [10] 3D prostate shape modeling from sparsely-acquired 2D images using deformable models
    Tutar, IB
    Pathak, SD
    Kim, Y
    MEDICAL IMAGING 2004: VISUALIZATION, IMAGE-GUIDED PROCEDURES, AND DISPLAY, 2004, 5367 : 524 - 532
12345