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Proceedings Paper

Improving the robustness of interventional 4D ultrasound segmentation through the use of personalized prior shape models
Author(s): Daniel Barbosa; Sandro Queirós; Pedro Morais; Maria J. Baptista; Mark Monaghan; Nuno F. Rodrigues; Jan D'hooge; João L. Vilaça
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Paper Abstract

While fluoroscopy is still the most widely used imaging modality to guide cardiac interventions, the fusion of pre-operative Magnetic Resonance Imaging (MRI) with real-time intra-operative ultrasound (US) is rapidly gaining clinical acceptance as a viable, radiation-free alternative. In order to improve the detection of the left ventricular (LV) surface in 4D ultrasound, we propose to take advantage of the pre-operative MRI scans to extract a realistic geometrical model representing the patients cardiac anatomy. This could serve as prior information in the interventional setting, allowing to increase the accuracy of the anatomy extraction step in US data. We have made use of a real-time 3D segmentation framework used in the recent past to solve the LV segmentation problem in MR and US data independently and we take advantage of this common link to introduce the prior information as a soft penalty term in the ultrasound segmentation algorithm. We tested the proposed algorithm in a clinical dataset of 38 patients undergoing both MR and US scans. The introduction of the personalized shape prior improves the accuracy and robustness of the LV segmentation, as supported by the error reduction when compared to core lab manual segmentation of the same US sequences.

Paper Details

Date Published: 20 March 2015
PDF: 7 pages
Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94133H (20 March 2015); doi: 10.1117/12.2081813
Show Author Affiliations
Daniel Barbosa, ICVS/3B’s - PT Government Associate Lab. (Portugal)
Instituto Politécnico do Cávado e do Ave (Portugal)
Sandro Queirós, ICVS/3B’s - PT Government Associate Lab. (Portugal)
KU Leuven (Belgium)
Univ. do Minho (Portugal)
Pedro Morais, ICVS/3B’s - PT Government Associate Lab. (Portugal)
Maria J. Baptista, ICVS/3B’s - PT Government Associate Lab. (Portugal)
Mark Monaghan, King's College Hospital (United Kingdom)
Nuno F. Rodrigues, ICVS/3B’s - PT Government Associate Lab. (Portugal)
Instituto Politécnico do Cávado e do Ave (Portugal)
Univ. do Minho (Portugal)
Jan D'hooge, KU Leuven (Belgium)
João L. Vilaça, ICVS/3B’s - PT Government Associate Lab. (Portugal)
Instituto Politécnico do Cávado e do Ave (Portugal)

Published in SPIE Proceedings Vol. 9413:
Medical Imaging 2015: Image Processing
Sébastien Ourselin; Martin A. Styner, Editor(s)

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