3D VERTEBRAE SEGMENTATION USING GRAPH CUTS WITH SHAPE PRIOR CONSTRAINTS

被引:14
作者
Aslan, Melih S. [1 ]
Ali, Asem [1 ]
Chen, Dongqing [1 ]
Arnold, Ben [2 ]
Farag, Aly A. [1 ]
Xiang, Ping [2 ]
机构
[1] Univ Louisville, Comp Vis & Image Proc Lab, Louisville, KY 40299 USA
[2] Image Anal Inc, Columbia, KY 42728 USA
来源
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年
关键词
Spine Bone; Vertebral Body (VB); shape based graph cuts segmentation;
D O I
10.1109/ICIP.2010.5652849
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Osteoporosis is a bone disease characterized by a reduction in bone mass, resulting in an increased risk of fractures. To diagnose the osteoporosis accurately, bone mineral density (BMD) measurements and fracture analysis (FA) of the Vertebral bodies (VBs) are required. In this paper, we propose a robust and 3D shape based method to segment VBs in clinical computed tomography (CT) images in order to make BMD measurements and FA accurately. In this experiment, image appearance and shape information of VBs are used. In the training step, 3D shape information is obtained from a set of data sets. Then, we estimate the shape variations using a distance probabilistic model which approximates the marginal densities of the VB and background in the variability region. In the segmentation step, the Matched filter is used to detect the VB region automatically. We align the detected volume with 3D shape prior in order to be used in distance probabilistic model. Then, the graph cuts method which integrates the linear combination of Gaussians (LCG), Markov Gibbs Random Field (MGRF), and distance probabilistic model obtained from 3D shape prior is used.
引用
收藏
页码:2193 / 2196
页数:4
相关论文
共 14 条
[1]  
ALI AM, 2008, ISVC 08, P258
[2]  
Aslan M.S., 2009, 5 INT S VIS COMP ISV
[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]  
Farag AA, 2004, IEEE IMAGE PROC, P1871
[5]   THE EUROPEAN SPINE PHANTOM - A TOOL FOR STANDARDIZATION AND QUALITY-CONTROL IN SPINAL BONE-MINERAL MEASUREMENTS BY DXA AND QCT [J].
KALENDER, WA ;
FELSENBERG, D ;
GENANT, HK ;
FISCHER, M ;
DEQUEKER, J ;
REEVE, J .
EUROPEAN JOURNAL OF RADIOLOGY, 1995, 20 (02) :83-92
[6]   Specially adapted interactive tools for an improved 3D-segmentation of the spine [J].
Kaminsky, J ;
Klinge, P ;
Rodt, T ;
Bokemeyer, M ;
Luedemann, W ;
Samii, M .
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2004, 28 (03) :119-127
[7]   A new accurate and precise 3-D segmentation method for skeletal structures in volumetric CT data [J].
Kang, Y ;
Engelke, K ;
Kalender, WA .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2003, 22 (05) :586-598
[8]   A fully automatic vertebra segmentation method using 3D deformable fences [J].
Kim, Yiebin ;
Kim, Dongsung .
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2009, 33 (05) :343-352
[9]   Automated model-based vertebra detection, identification, and segmentation in CT images [J].
Klinder, Tobias ;
Ostermann, Joern ;
Ehm, Matthias ;
Franz, Astrid ;
Kneser, Reinhard ;
Lorenz, Cristian .
MEDICAL IMAGE ANALYSIS, 2009, 13 (03) :471-482
[10]   Correlation pattern recognition for face recognition [J].
Kumar, Bhagavatula V. K. Vijaya ;
Savvides, Marios ;
Xie, Chunyan .
PROCEEDINGS OF THE IEEE, 2006, 94 (11) :1963-1976