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Published in: Journal of Medical Systems 2/2014

01-02-2014 | Research Article

Multiresolution Image Registration in Digital X-Ray Angiography with Intensity Variation Modeling

Authors: Mansour Nejati, Hossein Pourghassem

Published in: Journal of Medical Systems | Issue 2/2014

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Abstract

Digital subtraction angiography (DSA) is a widely used technique for visualization of vessel anatomy in diagnosis and treatment. However, due to unavoidable patient motions, both externally and internally, the subtracted angiography images often suffer from motion artifacts that adversely affect the quality of the medical diagnosis. To cope with this problem and improve the quality of DSA images, registration algorithms are often employed before subtraction. In this paper, a novel elastic registration algorithm for registration of digital X-ray angiography images, particularly for the coronary location, is proposed. This algorithm includes a multiresolution search strategy in which a global transformation is calculated iteratively based on local search in coarse and fine sub-image blocks. The local searches are accomplished in a differential multiscale framework which allows us to capture both large and small scale transformations. The local registration transformation also explicitly accounts for local variations in the image intensities which incorporated into our model as a change of local contrast and brightness. These local transformations are then smoothly interpolated using thin-plate spline interpolation function to obtain the global model. Experimental results with several clinical datasets demonstrate the effectiveness of our algorithm in motion artifact reduction.
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Metadata
Title
Multiresolution Image Registration in Digital X-Ray Angiography with Intensity Variation Modeling
Authors
Mansour Nejati
Hossein Pourghassem
Publication date
01-02-2014
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 2/2014
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-014-0010-8

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