Manifold learning for image-based gating of Intravascular Ultrasound(IVUS) pullback sequences

Isguder GG, Unal G, Groher M, Navab N, Kalkan AK, Degertekin M, Hetterich H, Rieber J (2010)

Publication Type: Conference contribution

Publication year: 2010

Journal

Lecture Notes in Computer Science Springer Verlag

Book Volume: 6326 LNCS

Pages Range: 139-148

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: CHN

ISBN: 3642156983

DOI: 10.1007/978-3-642-15699-1_15

Abstract

Intravascular Ultrasound(IVUS) is an imaging technology which provides cross-sectional images of internal coronary vessel structures. The IVUS frames are acquired by pulling the catheter back with a motor running at a constant speed. However, during the pullback, some artifacts occur due to the beating heart. These artifacts cause inaccurate measurements for total vessel and lumen volume and limitation for further processing. Elimination of these artifacts are possible with an ECG (electrocardiogram) signal, which determines the time interval corresponding to a particular phase of the cardiac cycle. However, using ECG signal requires a special gating unit, which causes loss of important information about the vessel, and furthermore, ECG gating function may not be available in all clinical systems. To address this problem, we propose an image-based gating technique based on manifold learning. Quantitative tests are performed on 3 different patients, 6 different pullbacks and 24 different vessel cuts. In order to validate our method, the results of our method are compared to those of ECG-Gating method. © 2010 Springer-Verlag.

Involved external institutions

Sabanci University TR Turkey (TR) Technische Universität München (TUM) DE Germany (DE) Yeditepe University / Yeditepe Üniversitesi TR Turkey (TR) Klinikum der Universität München (LMU Klinikum) DE Germany (DE)

How to cite

APA:

Isguder, G.G., Unal, G., Groher, M., Navab, N., Kalkan, A.K., Degertekin, M.,... Rieber, J. (2010). Manifold learning for image-based gating of Intravascular Ultrasound(IVUS) pullback sequences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 139-148). CHN.

MLA:

Isguder, Gozde Gul, et al. "Manifold learning for image-based gating of Intravascular Ultrasound(IVUS) pullback sequences." Proceedings of the 5th International Workshop on Medical Imaging and Augmented Reality, MIAR 2010, CHN 2010. 139-148.

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