Mutual information based respiration detection

被引：8

作者：

Martin-Leung, B ^{[1
]}

Eck, K ^{[1
]}

Stuke, I ^{[1
]}

Bredno, J ^{[1
]}

Aach, T ^{[1
]}

机构：

[1] Philips Res Labs, D-52066 Aachen, Germany

来源：

CARS 2003: COMPUTER ASSISTED RADIOLOGY AND SURGERY, PROCEEDINGS | 2003年 / 1256卷

关键词：

respiration phase; mutual information;

D O I：

10.1016/S0531-5131(03)00265-6

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Percutaneous Transluminal Coronary Angioplasty (PTCA) is currently the preferred method for the treatment of coronary artery disease in vivo. During the intervention, images of the coronary arteries filled with a radiopaque contrast agent are acquired (angiography) in order to localize the lesion. One of these images is then displayed on a monitor. It serves as a roadmap that is afterwards utilised to navigate the interventional instruments to the lesion under constant low-dose X-ray surveillance (fluoroscopy). The fluoroscopic live images are displayed in real-time on a second monitor next to the roadmap monitor. It is desirable to provide for each fluoroscopic image an angiographic roadmap that exhibits a similar position and shape of the coronary vessels. To accomplish this goal, the respiration status in every (pre-recorded) angiographic and (live) fluoroscopic image has to be quantified in order to display angiographic roadmaps matching to the live fluoroscopic image. We present a method that estimates the respiration status of a patient from grey-level X-ray fluoroscopic images based on their similarity to a reference frame applying a mutual information (MI) similarity measure. (C) 2003 Elsevier Science B.V. and CARS. All rights reserved.

引用

页码：1085 / 1092

页数：8

共 13 条

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