Model-Based Motion Artifact Correction in Digital Subtraction Angiography Using Optical-Flow

Hariharan SG, Kaethner C, Strobel N, Kowarschik M, DiNitto J, Fahrig R, Navab N (2019)

Publication Type: Conference contribution

Publication year: 2019

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer Berlin Heidelberg

Pages Range: 146-151

Conference Proceedings Title: Informatik aktuell

Event location: Lübeck DE

ISBN: 9783658253257

DOI: 10.1007/978-3-658-25326-4_31

Abstract

Digital subtraction angiography is an important method for obtaining an accurate visualization of contrast-enhanced blood vessels. The technique involves the digital subtraction of two X-ray images, one with contrast filled vessels (fill image) and one without (mask image). Unfortunately, artifacts that are introduced due to the subtraction of misaligned mask and fill images may potentially degrade the diagnostic value of an image. The techniques used for correcting such artifacts involve the use of affine image registration techniques for aligning the mask and fill images and image processing techniques for suppressing the artifacts. Although affine registration techniques often yield acceptable results, they may fail when the imaged object undergoes 3D transformations. The techniques used for suppressing artifacts may cause blurring, when a projection image can no longer be corrected using a globally uniform motion model. In this paper, we have introduced an optical-flow based local motion compensation approach, where pixel-wise deformation fields are computed based on an X-ray imaging model. A visual inspection of the results shows a significant improvement in the image quality due to a reduction in the artifacts caused by misregistrations.

Involved external institutions

Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt DE Germany (DE) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Hariharan, S.G., Kaethner, C., Strobel, N., Kowarschik, M., DiNitto, J., Fahrig, R., & Navab, N. (2019). Model-Based Motion Artifact Correction in Digital Subtraction Angiography Using Optical-Flow. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 146-151). Lübeck, DE: Springer Berlin Heidelberg.

MLA:

Hariharan, Sai Gokul, et al. "Model-Based Motion Artifact Correction in Digital Subtraction Angiography Using Optical-Flow." Proceedings of the Workshop on Bildverarbeitung fur die Medizin, 2019, Lübeck Ed. Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff, Springer Berlin Heidelberg, 2019. 146-151.

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