A comprehensive study of stent visualization enhancement in X-ray images by image processing means

被引:17
作者
Bismuth, Vincent [1 ,2 ]
Vaillant, Regis [1 ]
Funck, Francois [3 ]
Guillard, Niels [3 ]
Najman, Laurent [2 ]
机构
[1] Gen Elect, F-78533 Buc, France
[2] Univ Paris Est, Lab Informat Gaspard Monge, Equipe ASI, ESIEE, F-77454 Marne La Vallee 2, France
[3] Ctr Hosp Rene Dubos, F-95303 Pontoise, France
关键词
X-ray imaging; Image enhancement; Registration; Segmentation; Stent; EXPANSION;
D O I
10.1016/j.media.2011.03.002
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 work we propose a comprehensive study of Digital Stent Enhancement (DSE), from the analysis of the requirements to the validation of the proposed solution. First, we derive the stent visualization requirements in the context of the clinical application and workflow. Then, we propose a DSE algorithm combining automatic detection, tracking, registration and contrast enhancement. The most original parts of our solution: landmark segmentation and non-linear image registration are detailed. Finally, we validate the algorithm on a large number of synthetic and clinical cases. Performance is characterized in terms of automation, image quality and execution time. This work is, to the best of our knowledge, the first comprehensive article on DSE, covering problem statement, proposed solution, and validation strategies. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:565 / 576
页数:12
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