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2017 | OriginalPaper | Buchkapitel

Noise Sensitive Trajectory Planning for MR Guided TAVI

verfasst von : Mustafa Bayraktar, Erol Yeniaras, Sertan Kaya, Seraphim Lawhorn, Kamran Iqbal, Nikolaos V. Tsekos

Erschienen in: Functional Imaging and Modelling of the Heart

Verlag: Springer International Publishing

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Abstract

Image-guided, pre-operative planning is fast becoming the gold standard for navigating real-time robotic cardiac surgeries. Planning helps the surgeon utilize the amended quantitative information of the target area and assess the suitability of the offered intervention technique prior to surgery. In apex access aortic valve replacements, safe zone generation for the penetration of delivery module along the left ventricle (LV) is a crucial step to prevent untoward cases from emerging. To address this problem, we propose a computational core, which is to locate left ventricle borders and specifically papillary muscles (PM), create an obstacle map along the left ventricle (LV), and ultimately extract a dynamic (off-line) trajectory for tool navigation. To this end, we first applied an isotropic diffusion on short-axis (SA) cardiac magnetic resonance (CMR) images. Second, we utilized an active contour model to determine the LV border. Third, we clustered the LV crops to locate the PM. Finally, we computed the centroids of each of the LV segments to determine the safest path for an aortic delivery module.

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Metadaten
Titel
Noise Sensitive Trajectory Planning for MR Guided TAVI
verfasst von
Mustafa Bayraktar
Erol Yeniaras
Sertan Kaya
Seraphim Lawhorn
Kamran Iqbal
Nikolaos V. Tsekos
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-59448-4_19