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Comparison of interpolation methods of predominant cardiomyocyte orientation from in vivo and ex vivo cardiac diffusion tensor imaging data

Cardiac electrophysiology and cardiac mechanics both depend on the average cardiomyocyte long‐axis orientation. In the realm of personalized medicine, knowledge of the patient‐specific changes in cardiac microstructure plays a crucial role. Patient‐specific computational modelling has emerged as a t...

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Autores principales: Stimm, Johanna, Guenthner, Christian, Kozerke, Sebastian, Stoeck, Christian T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285076/
https://www.ncbi.nlm.nih.gov/pubmed/34964179
http://dx.doi.org/10.1002/nbm.4667
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author Stimm, Johanna
Guenthner, Christian
Kozerke, Sebastian
Stoeck, Christian T.
author_facet Stimm, Johanna
Guenthner, Christian
Kozerke, Sebastian
Stoeck, Christian T.
author_sort Stimm, Johanna
collection PubMed
description Cardiac electrophysiology and cardiac mechanics both depend on the average cardiomyocyte long‐axis orientation. In the realm of personalized medicine, knowledge of the patient‐specific changes in cardiac microstructure plays a crucial role. Patient‐specific computational modelling has emerged as a tool to better understand disease progression. In vivo cardiac diffusion tensor imaging (cDTI) is a vital tool to non‐destructively measure the average cardiomyocyte long‐axis orientation in the heart. However, cDTI suffers from long scan times, rendering volumetric, high‐resolution acquisitions challenging. Consequently, interpolation techniques are needed to populate bio‐mechanical models with patient‐specific average cardiomyocyte long‐axis orientations. In this work, we compare five interpolation techniques applied to in vivo and ex vivo porcine input data. We compare two tensor interpolation approaches, one rule‐based approximation, and two data‐driven, low‐rank models. We demonstrate the advantage of tensor interpolation techniques, resulting in lower interpolation errors than do low‐rank models and rule‐based methods adapted to cDTI data. In an ex vivo comparison, we study the influence of three imaging parameters that can be traded off against acquisition time: in‐plane resolution, signal to noise ratio, and number of acquired short‐axis imaging slices.
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spelling pubmed-92850762022-07-15 Comparison of interpolation methods of predominant cardiomyocyte orientation from in vivo and ex vivo cardiac diffusion tensor imaging data Stimm, Johanna Guenthner, Christian Kozerke, Sebastian Stoeck, Christian T. NMR Biomed Research Articles Cardiac electrophysiology and cardiac mechanics both depend on the average cardiomyocyte long‐axis orientation. In the realm of personalized medicine, knowledge of the patient‐specific changes in cardiac microstructure plays a crucial role. Patient‐specific computational modelling has emerged as a tool to better understand disease progression. In vivo cardiac diffusion tensor imaging (cDTI) is a vital tool to non‐destructively measure the average cardiomyocyte long‐axis orientation in the heart. However, cDTI suffers from long scan times, rendering volumetric, high‐resolution acquisitions challenging. Consequently, interpolation techniques are needed to populate bio‐mechanical models with patient‐specific average cardiomyocyte long‐axis orientations. In this work, we compare five interpolation techniques applied to in vivo and ex vivo porcine input data. We compare two tensor interpolation approaches, one rule‐based approximation, and two data‐driven, low‐rank models. We demonstrate the advantage of tensor interpolation techniques, resulting in lower interpolation errors than do low‐rank models and rule‐based methods adapted to cDTI data. In an ex vivo comparison, we study the influence of three imaging parameters that can be traded off against acquisition time: in‐plane resolution, signal to noise ratio, and number of acquired short‐axis imaging slices. John Wiley and Sons Inc. 2021-12-29 2022-05 /pmc/articles/PMC9285076/ /pubmed/34964179 http://dx.doi.org/10.1002/nbm.4667 Text en © 2021 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Stimm, Johanna
Guenthner, Christian
Kozerke, Sebastian
Stoeck, Christian T.
Comparison of interpolation methods of predominant cardiomyocyte orientation from in vivo and ex vivo cardiac diffusion tensor imaging data
title Comparison of interpolation methods of predominant cardiomyocyte orientation from in vivo and ex vivo cardiac diffusion tensor imaging data
title_full Comparison of interpolation methods of predominant cardiomyocyte orientation from in vivo and ex vivo cardiac diffusion tensor imaging data
title_fullStr Comparison of interpolation methods of predominant cardiomyocyte orientation from in vivo and ex vivo cardiac diffusion tensor imaging data
title_full_unstemmed Comparison of interpolation methods of predominant cardiomyocyte orientation from in vivo and ex vivo cardiac diffusion tensor imaging data
title_short Comparison of interpolation methods of predominant cardiomyocyte orientation from in vivo and ex vivo cardiac diffusion tensor imaging data
title_sort comparison of interpolation methods of predominant cardiomyocyte orientation from in vivo and ex vivo cardiac diffusion tensor imaging data
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285076/
https://www.ncbi.nlm.nih.gov/pubmed/34964179
http://dx.doi.org/10.1002/nbm.4667
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