Abstract
This work introduces a 3D+t coronary registration strategy to minimize the navigation among cardiac phases during the process of ischaemic heart disease diagnosis. We propose to register image sub-volumes containing suspected arterial lesions at two cardiac phases, instead of performing a registration of the complete cardiac volume through the whole cardiac cycle. The method first automatically defines the extent of the sub-volumes to be aligned, then the registration is performed in two steps: a coarse rigid alignment and a deformable registration. Our method provides comparable results and is computationally less expensive than previous approaches that make use of larger spatial and temporal information.
Keywords
- Compute Tomography Angiography
- Leave Anterior Descend
- Right Coronary Artery
- Normalize Mutual Information
- Cardiac Phasis
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Zuluaga, M.A., Hernández Hoyos, M., Dávila, J.C., Uriza, L.F., Orkisz, M. (2012). A Fast Lesion Registration to Assist Coronary Heart Disease Diagnosis in CTA Images. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2012. Lecture Notes in Computer Science, vol 7594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33564-8_85
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DOI: https://doi.org/10.1007/978-3-642-33564-8_85
Publisher Name: Springer, Berlin, Heidelberg
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