Context region discovery for automatic motion compensation in fluoroscopy

Purpose Image-based tracking for motion compensation is an important topic in image-guided interventions, as it enables physicians to operate in a less complex space. In this paper, we propose an automatic motion compensation scheme to boost image guidence power in transcatheter aortic valve implant...

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Bibliographic Details
Published in:International journal for computer assisted radiology and surgery 2016-06, Vol.11 (6), p.977-985
Main Authors: Xia, Yin, Hussein, Sarfaraz, Singh, Vivek, John, Matthias, Wu, Ying, Chen, Terrence
Format: Article
Language:English
Subjects:
Algorithms
Computer Imaging
Computer Science
Fluoroscopy - methods
Health Informatics
Humans
Imaging
Medicine
Medicine & Public Health
Motion
Original Article
Pattern Recognition and Graphics
Radiology
Surgery
Surgery, Computer-Assisted - methods
Vision
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Summary:Purpose Image-based tracking for motion compensation is an important topic in image-guided interventions, as it enables physicians to operate in a less complex space. In this paper, we propose an automatic motion compensation scheme to boost image guidence power in transcatheter aortic valve implantation (TAVI). Methods The proposed tracking algorithm automatically discovers reliable regions that correlate strongly with the target. These discovered regions can assist to estimate target motion under severe occlusion, even if target tracker fails. Results We evaluate the proposed method for pigtail tracking during TAVI. We obtain significant improvement (12 %) over the baseline in a clinical dataset. Calcification regions are automatically discovered during tracking, which would aid TAVI processes. Conclusion In this work, we open a new paradigm to provide dynamic real-time guidance for TAVI without user interventions, specially in case of severe occlusion where conventional tracking methods are challenged.
ISSN:1861-6410
1861-6429
DOI:10.1007/s11548-016-1362-y