@inproceedings{cd63e56a8c4241d7b84c9ddd7ca3d797,
title = "A GPU based diffusion method for whole-heart and great vessel segmentation",
abstract = "Segmenting the blood pool and myocardium from a 3D cardiovascular magnetic resonance (CMR) image allows to create a patient-specific heart model for surgical planning in children with complex congenital heart disease (CHD). Implementation of semi-automatic or automatic segmentation algorithms is challenging because of a high anatomical variability of the heart defects, low contrast, and intensity variations in the images. Therefore, manual segmentation is the gold standard but it is labor-intensive. In this paper we report the set-up and results of a highly scalable semi-automatic diffusion algorithm for image segmentation. The method extrapolates the information from a small number of expert manually labeled reference slices to the remaining volume. While results of most semi-automatic algorithms strongly depend on well-chosen but usually unknown parameters this approach is parameter-free. Validation is performed on twenty 3D CMR images.",
keywords = "Diffusion, Interactive segmentation, Multi-GPU, Random walks, Segmentation, Semi-automatic segmentation",
author = "Philipp L{\"o}sel and Vincent Heuveline",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 1st International Workshops on Reconstruction and Analysis of Moving Body Organs, RAMBO 2016 and 1st International Workshops on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, HVSMR 2016 Held in Conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016 ; Conference date: 17-10-2016 Through 21-10-2016",
year = "2017",
doi = "10.1007/978-3-319-52280-7_12",
language = "English",
isbn = "9783319522791",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "121--128",
editor = "Zuluaga, {Maria A.} and Moghari, {Mehdi H.} and Pace, {Danielle F.} and Bernhard Kainz and Kanwal Bhatia",
booktitle = "Reconstruction, Segmentation, and Analysis of Medical Images - 1st International Workshops, RAMBO 2016 and HVSMR 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers",
address = "Germany",
}