Statistical shape model based segmentation of medical images

被引：35
|
作者：
Neumann, A [1 ]
Lorenz, C [1 ]
机构：
[1] Univ Fed Armed Forces Hamburg, D-22039 Hamburg, Germany
来源：
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 1998年 / 22卷 / 02期
关键词：
statistical shape description; landmarks; Fourier descriptors; wavelet descriptors; empirical covariances; principal component analysis; deformable models; boundary finding; biomedical image analysis;
D O I：
10.1016/S0895-6111(98)00015-9
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This paper reviews several kinds of 2D shape representations by a set of parameters based on labeled points, Fourier descriptors and wavelet descriptors. Seven shape models for axial slices of spinal vertebra are derived by a statistical analysis of parameters corresponding to a set of example shapes and are subsequently compared. Two of the developed models are incorporated into methods for interactive segmentation of 2D gray level images. The first method is founded on Fourier descriptors, the second one is based on normalized sets of labeled points. Both methods are based on a model guided shape exploration. (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：133 / 143
页数：11
相关论文
共 50 条
  • [1] Statistical shape model based segmentation of medical images
    Neumann, Anke
    Lorenz, Cristian
    [J]. Computerized Medical Imaging and Graphics, 22 (02): : 133 - 143
  • [2] A novel 3D statistical shape model for segmentation of medical images
    Zhao, Zheen
    Teoh, Eam Khwang
    [J]. ADVANCES IN VISUAL COMPUTING, PT 1, 2006, 4291 : 638 - 647
  • [3] Statistical shape model-based segmentation of brain MRI images
    Bailleul, Jonathan
    Ruan, Su
    Constans, Jean-Marc
    [J]. 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 5255 - +
  • [4] Graph Cuts Segmentation with Statistical Shape Priors For Medical Images
    Zhu-Jacquot, Jie
    Zabih, Ramin
    [J]. SITIS 2007: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGIES & INTERNET BASED SYSTEMS, 2008, : 631 - +
  • [5] Statistical shape model-based segmentation of digital X-ray images
    Behiels, C
    Vandermeulen, D
    Suetens, P
    [J]. IEEE WORKSHOP ON MATHEMATICAL METHODS IN BIOMEDICAL IMAGE ANALYSIS, PROCEEDINGS, 2000, : 61 - 68
  • [6] Segmentation of medical images with a shape and motion model:: A Bayesian perspective
    Sénégas, J
    Netsch, T
    Cocosco, CA
    Lund, G
    Stork, A
    [J]. COMPUTER VISION AND MATHEMATICAL METHODS IN MEDICAL AND BIOMEDICAL IMAGE ANALYSIS, 2004, 3117 : 157 - 168
  • [7] A Statistical Shape plus Pose Model for Segmentation of Wrist CT Images
    Abu Anas, Emran Mohammad
    Rasoulian, Abtin
    St John, Paul
    Pichora, David
    Rohling, Robert
    Abolmaesumi, Purang
    [J]. MEDICAL IMAGING 2014: IMAGE PROCESSING, 2014, 9034
  • [8] A Shape-Driven MRF Model for the Segmentation of Organs in Medical Images
    Chittajallu, D. R.
    Shah, S. K.
    Kakadiaris, I. A.
    [J]. 2010 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2010, : 3233 - 3240
  • [9] Shape model based adaptation of 3-D deformable meshes for segmentation of medical images
    Pekar, V
    Kaus, MR
    Lorenz, C
    Lobregt, S
    Truyen, R
    Weese, J
    [J]. MEDICAL IMAGING: 2001: IMAGE PROCESSING, PTS 1-3, 2001, 4322 : 281 - 289
  • [10] Segmentation of prostate boundaries from ultrasound images using statistical shape model
    Shen, DG
    Zhan, YQ
    Davatzikos, C
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2003, 22 (04) : 539 - 551
12345