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Planning and guidance of ultrasound guided High Intensity Focused Ultrasound cardiac arrhythmia therapy

Abstract : The work presented in this document aims at developing new image-processing methods to improve the planning and guidance of transesophageal HIFU atrial fibrillation therapy. This document is divided into two parts, namely therapy planning and therapy guidance. We first propose novel therapy planning methods that exploit high-resolution pre-operative CT or MRI information to extract patient-specific anatomical details and to define future therapeutic procedures. Our specific methodological contributions concern the following: an automatically-refined atlas-based segmentation approach to extract the left atrium and pulmonary veins; the delineation of the lesion lines on the original or segmented volume; and the reconstruction of a volume adapted to future intraoperative transesophageal navigation. Secondly, our proposal of a novel registration approach for use in therapy guidance aligns intraoperative 2D ultrasound with preoperative 3D CT information. This approach first carries out a systematic statistical evaluation to select the best similarity measure for our application and then takes advantage of the geometrical constraints of the transesophageal HIFU probe to simplify the registration process. Our proposed methods have been evaluated on digital and/or physical phantoms and on real clinical data.
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Submitted on : Wednesday, January 6, 2016 - 1:49:15 PM
Last modification on : Wednesday, September 14, 2022 - 10:20:04 AM
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  • HAL Id : tel-01241529, version 2


Zulma Sandoval Niño. Planning and guidance of ultrasound guided High Intensity Focused Ultrasound cardiac arrhythmia therapy. Signal and Image processing. Université Rennes 1, 2015. English. ⟨NNT : 2015REN1S044⟩. ⟨tel-01241529v2⟩



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