Çimen, S, Unberath, M, Frangi, A orcid.org/0000-0002-2675-528X et al. (1 more author) (2017) CoronARe: A Coronary Artery Reconstruction Challenge. In: Lecture Notes in Computer Science, vol 10555. Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, 14 Sep 2017, Québec City, QC, Canada. Springer Verlag , pp. 96-104. ISBN 978-3-319-67563-3
Abstract
CoronARe ranks state-of-the-art methods in symbolic and tomographic coronary artery reconstruction from interventional C-arm rotational angiography. Specifically, we benchmark the performance of the methods using accurately pre-processed data, and study the effects of imperfect pre-processing conditions (segmentation and background subtraction errors). In this first iteration of the challenge, evaluation is performed in a controlled environment using digital phantom images, where accurate 3D ground truth is known.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer International Publishing AG 2017. This is an author produced version of a paper published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Angiography; 3D reconstruction; C-arm Cone-beam CT; Motion compensation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 29 Apr 2019 09:43 |
Last Modified: | 29 Apr 2019 09:43 |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/978-3-319-67564-0_10 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145450 |