Multiscale deformable model segmentation and statistical shape analysis using medial descriptions

被引:84
作者
Joshi, S [1 ]
Pizer, S [1 ]
Fletcher, PT [1 ]
Yushkevich, P [1 ]
Thall, A [1 ]
Marron, JS [1 ]
机构
[1] Univ N Carolina, Med Image Display & Anal Grp, Chapel Hill, NC 27514 USA
关键词
deformable templates; image segmantation; medial geometry; statistical shape analysis;
D O I
10.1109/TMI.2002.1009389
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a multiscale framework based on a medial representation for the segmentation and shape characterization of anatomical objects in medical imagery. The segmentation procedure is based on a Bayesian deformable templates methodology in which the prior information about the geometry and shape of anatomical objects is incorporated via the construction of exemplary templates. The anatomical variability is accommodated in the Bayesian. framework by defining probabilistic transformations on these templates. The transformations, thus, defined are parameterized directly in terms of natural shape operations, such as growth and bending, and their locations. A preliminary validation study of the segmentation procedure is presented. We also present a novel statistical shape analysis approach based on the medial descriptions that examines shape via separate intuitive categories, such as global variability at the coarse scale and localized variability at the fine scale. We show that the method can be used to statistically describe shape variability in intuitive terms such as growing and bending.
引用
收藏
页码:538 / 550
页数:13
相关论文
共 28 条
  • [1] RECOGNITION-BY-COMPONENTS - A THEORY OF HUMAN IMAGE UNDERSTANDING
    BIEDERMAN, I
    [J]. PSYCHOLOGICAL REVIEW, 1987, 94 (02) : 115 - 147
  • [2] BLANDING R, 1999, P 5 S SOL MOD APPL S, P141
  • [3] BLOOMENTHAL J, 1991, COMP GRAPH, V25, P251, DOI 10.1145/127719.122757
  • [4] Blum Harry, 1967, TRANSFORMATION EXTRA, V43, P2
  • [5] BURBECK AC, 1996, TR94041 U N CAR COMP
  • [6] CAMERON BM, 2000, P MED M VIRT REAL 20, P53
  • [7] ACTIVE SHAPE MODELS - THEIR TRAINING AND APPLICATION
    COOTES, TF
    TAYLOR, CJ
    COOPER, DH
    GRAHAM, J
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 1995, 61 (01) : 38 - 59
  • [8] Cootes TF, 1999, LECT NOTES COMPUT SC, V1613, P322
  • [9] Hippocampal morphometry in schizophrenia by high dimensional brain mapping
    Csernansky, JG
    Joshi, S
    Wang, L
    Haller, JW
    Gado, M
    Miller, JP
    Grenander, U
    Miller, MI
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1998, 95 (19) : 11406 - 11411
  • [10] Early DAT is distinguished from aging by high-dimensional mapping of the hippocampus
    Csernansky, JG
    Wang, L
    Joshi, S
    Miller, JP
    Gado, M
    Kido, D
    McKeel, D
    Morris, JC
    Miller, MI
    [J]. NEUROLOGY, 2000, 55 (11) : 1636 - 1643