MEDICAL IMAGE INTERPRETATION - A GENERIC APPROACH USING DEFORMABLE TEMPLATES

被引：36
作者：
HILL, A
COOTES, TF
TAYLOR, CJ
LINDLEY, K
机构：
[1] Department of Medical Biophysics, University of Manchester, Manchester, Ml3 9PT, Oxford Road
来源：
MEDICAL INFORMATICS | 1994年 / 19卷 / 01期
关键词：
DEFORMABLE TEMPLATES; GENETIC ALGORITHMS; ACTIVE SHAPE MODELS;
D O I：
10.3109/14639239409044720
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We describe a generic approach to image interpretation, based on combining a general method of building flexible template models with genetic algorithm (GA) search. The method can be applied to a given image interpretation problem simply by training a statistical shape model, using a set of examples of the image structure to be located. A local optimization technique has been incorporated into the GA search and shown to improve the speed of convergence and optimality of solution. We present results from three medical applications, demonstrating that the new method offers significant improvements when compared with previously reported approaches to flexible template matching, particularly the ability to deal with different domains of application using a standard method and the possibility of employing complex multipart models. We also describe how the method can be simply extended to track structures in image sequences and segment three dimensional objects in volume images.
引用
收藏
页码：47 / 59
页数：13
相关论文
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