Optimized Region Finding and Edge Detection of Knee Cartilage Surfaces from Magnetic Resonance Images

被引：0
|
作者：
Elsa D. Angelini
Edward J. Ciaccio
机构：
[1] Columbia University,Department of Biomedical Engineering, College of Physicians and Surgeons
[2] Departments of Biomedical Engineering and Pharmacology,College of Physicians and Surgeons
[3] Columbia University,undefined
来源：
Annals of Biomedical Engineering | 2003年 / 31卷
关键词：
Cartilage; Karhunen–Loève transformation; Magnetic resonance imaging;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Expert hand-drawing of magnetic resonance image (MRI) features can be tedious and time consuming. MRI of the knee were acquired from eight subjects to develop an automated segmentation approach. The regions of interest (ROI) were femur, tibia, and patella cartilage. The Karhunen–Loève transformation was used to construct prototypical ROI with accentuated features and reduced noise level. Adaptive template matching was then used to translate the prototypical ROI locations for detection and optimal overlap of ROI in test images. Cartilage boundaries at the optimal overlap area were computed based on standard gradient methods. © 2003 Biomedical Engineering Society.
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页码：336 / 345
页数：9
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