Inter-subject comparison of MRI knee cartilage thickness

被引:109
作者
Carballido-Gamio, Julio [1 ]
Bauer, Jan S. [1 ]
Stahl, Robert [1 ]
Lee, Keh-Yang [1 ]
Krause, Stefanie [1 ]
Link, Thomas M. [1 ]
Majumdar, Sharmila [1 ]
机构
[1] Univ Calif San Francisco, Dept Radiol, MQIR, San Francisco, CA 94158 USA
关键词
magnetic resonance imaging (MRI); cartilage; segmentation; shape-based interpolation; thickness; shape matching; shape contexts; registration;
D O I
10.1016/j.media.2007.08.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we present the development and application of current image processing techniques to perform MRI inter-subject comparison of knee cartilage thickness based on the registration of bone structures. Each point in the bone surface which is part of the bone-cartilage interface is assigned a cartilage thickness value. Cartilage and corresponding bone structures are segmented and their shapes interpolated to create isotropic voxels. Cartilage thicknesses are computed for each point in the bone-cartilage interfaces and transferred to the bone surfaces. Corresponding anatomic points are then computed for bone surfaces based on shape matching using 3D shape descriptors called shape contexts to register bones with affine and elastic transformations, and then perform a point to point comparison of cartilage thickness values. An alternative technique for cartilage shape interpolation using a morphing technique is also presented. The cartilage segmentation and morphing were validated visually, based on volumetric measurements of porcine knee images which cartilage volumes were measured using a water displacement method, and based on digital thickness values computed with an established technique. Shape matching using 3D shape contexts was validated visually and against manual shape matching performed by a radiologist. The reproducibility of intra- and inter-subject cartilage thickness comparisons was established, as well as the feasibility of using the proposed technique to build a mean femoral shape, cartilage thickness map, and cartilage coverage map. Results showed that the proposed technique is robust, accurate, and reproducible to perform point to point inter-subject comparison of knee cartilage thickness values. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:120 / 135
页数:16
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