Cartilage-Defect Assessment by Measuring Thickness of Knee MRI: Data from the Osteoarthritis Initiative

被引：0
|
作者：
Lee, Yong-woo [1 ]
Toan, Bui [1 ]
Ahn, Chunsoo [1 ]
Shin, Jitae [1 ]
机构：
[1] Sungkyunkwan Univ, Sch Elect & Elect Engn, Suwon, South Korea
来源：
18TH IEEE INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS (ISCE 2014) | 2014年
关键词：
osteoarthritis; osteoarthritis grade; t-test; image registration; cartilage thickness; magnetic resonance imaging; IMAGE REGISTRATION; BRAIN;
D O I：
暂无
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：
In this paper, we present a knee cartilage assessment technique to differentiate those in different osteoarthritis grades. We construct atlas for each grade and each atlas represents an average size of cartilage thickness. We build the atlas using manual segmentation of patellar cartilage following groupwise registration. We assign thickness value at the voxels in bone-cartilage interface in ahead. The thickness atlas is used for t-test to see how our method is accurate. T-test result shows our method finds significant difference between osteoarthritis grade 0 and 4 with p less than 0.001.
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