JOM KITA KE POLITEKNIK

A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR (Record no. 925)

MARC details
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100 10 - MAIN ENTRY--PERSONAL NAME
Personal name Byrne, Nick
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9 (RLIN) 2491
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Title A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR
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Date of publication, distribution, etc. 2022-08-31.
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General note /pmc/articles/PMC7614102/
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General note /pubmed/36044487
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Summary, etc. Multi-class segmentation of cardiac magnetic resonance (CMR) images seeks a separation of data into anatomical components with known structure and configuration. The most popular CNN-based methods are optimised using pixel wise loss functions, ignorant of the spatially extended features that characterise anatomy. Therefore, whilst sharing a high spatial overlap with the ground truth, inferred CNN-based segmentations can lack coherence, including spurious connected components, holes and voids. Such results are implausible, violating anticipated anatomical topology. In response, (single-class) persistent homology-based loss functions have been proposed to capture global anatomical features. Our work extends these approaches to the task of multi-class segmentation. Building an enriched topological description of all class labels and class label pairs, our loss functions make predictable and statistically significant improvements in segmentation topology using a CNN-based postprocessing framework. We also present (and make available) a highly efficient implementation based on cubical complexes and parallel execution, enabling practical application within high resolution 3D data for the first time. We demonstrate our approach on 2D short axis and 3D whole heart CMR segmentation, advancing a detailed and faithful analysis of performance on two publicly available datasets.
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Language note en
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Topical term or geographic name as entry element Article
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Genre/form data or focus term Text
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700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Clough, James R.
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9 (RLIN) 2492
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Personal name Valverde, Israel
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9 (RLIN) 2493
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Personal name Montana, Giovanni
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9 (RLIN) 2494
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name King, Andrew P.
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9 (RLIN) 2495
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Note IEEE Trans Med Imaging
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Uniform Resource Identifier <a href="http://dx.doi.org/10.1109/TMI.2022.3203309">http://dx.doi.org/10.1109/TMI.2022.3203309</a>
Public note Connect to this object online.

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