Abstract
We present a workflow for processing real-time cardiac MR (RT-CMR) scans for segmenting the left ventricle (LV) on short-axis slices (SAX). Our method is based on image registration, where the LV endocardium and epicardium are segmented by propagating a reference contour over all the frames of the RT-CMR SAX scans. Our method was evaluated on 19 subjects, the accuracy of the automatic LV endocardium and epicardium segmentation was compared to those defined manually. The proposed method obtained a dice similarity coefficient (DSC) of 0.94 and a mean surface-to-surface distance (MSD) measure of 0.89 ± 0.53 mm. Additionally, a number of automatically obtained clinical measures were compared to ground truth values. On average we obtained a Pearson’s correlation coefficient (R) of 0.94 (0.99–0.74).
Original language | English |
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Title of host publication | Biomedical Image Registration - 8th International Workshop, WBIR 2018 - Proceedings |
Editors | Stefan Klein, Marius Staring, Stanley Durrleman, Stefan Sommer |
Place of Publication | Cham |
Publisher | Springer |
Pages | 57-66 |
Number of pages | 10 |
ISBN (Electronic) | 978-3-319-92258-4 |
ISBN (Print) | 978-3-319-92257-7 |
DOIs | |
Publication status | Published - 2018 |
Event | WBIR 2018: 8th International Workshop on Biomedical Image Registration - Leiden, Netherlands Duration: 28 Jun 2018 → 29 Jun 2018 Conference number: 8 https://wbir2018.nl/ |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 10883 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Workshop
Workshop | WBIR 2018 |
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Country/Territory | Netherlands |
City | Leiden |
Period | 28/06/18 → 29/06/18 |
Internet address |
Keywords
- Left ventricle
- Realtime-MR
- Registration
- Segmentation
- Semi-automatic