Computer Vision and Image Understanding
The Application of ICA to the X-Ray Digital Subtraction Angiography
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
A method for densitometric analysis of moving object tracking in medical images
Machine Graphics & Vision International Journal
EURASIP Journal on Advances in Signal Processing
Complexity prediction of automatic image registration: a case study on motion-compensated DSA
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Parameter estimation of flow-measurement in digital angiography
Acta Cybernetica
Multiresolution Image Registration in Digital X-Ray Angiography with Intensity Variation Modeling
Journal of Medical Systems
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In clinical practice, Digital SubtractionAngiography (DSA) is a powerful technique for the visualization ofblood vessels in the human body. The diagnostic relevance of theimages is often reduced by artifacts which arise from themisalignment of successive images in the sequence, due to patientmotion. In order to improve the quality of the subtraction images,several registration techniques have been proposed. However, becauseof the required computation times, it has never led to algorithmsthat are fast enough so as to be acceptable for integration inclinical applications. In this paper, a new approach to theregistration of digital angiographic images is proposed. It involvesan edge-based selection of control points for which the displacementis computed by means of template matching, and from which thecomplete displacement vector field is constructed by means ofinterpolation. The final warping of the images according to thecalculated displacement vector field is performed real-time bygraphics hardware. Experimental results with several clinical datasets show that the proposed algorithm is both effective and veryfast.