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Creating hemodynamic atlases of cardiac 4D flow MRI
PURPOSE: Hemodynamic atlases can add to the pathophysiological understanding of cardiac diseases. This study proposes a method to create hemodynamic atlases using 4D Flow magnetic resonance imaging (MRI). The method is demonstrated for kinetic energy (KE) and helicity density (H(d)). MATERIALS AND M...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655727/ https://www.ncbi.nlm.nih.gov/pubmed/28295788 http://dx.doi.org/10.1002/jmri.25691 |
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author | Cibis, Merih Bustamante, Mariana Eriksson, Jonatan Carlhäll, Carl‐Johan Ebbers, Tino |
author_facet | Cibis, Merih Bustamante, Mariana Eriksson, Jonatan Carlhäll, Carl‐Johan Ebbers, Tino |
author_sort | Cibis, Merih |
collection | PubMed |
description | PURPOSE: Hemodynamic atlases can add to the pathophysiological understanding of cardiac diseases. This study proposes a method to create hemodynamic atlases using 4D Flow magnetic resonance imaging (MRI). The method is demonstrated for kinetic energy (KE) and helicity density (H(d)). MATERIALS AND METHODS: Thirteen healthy subjects underwent 4D Flow MRI at 3T. Phase‐contrast magnetic resonance cardioangiographies (PC‐MRCAs) and an average heart were created and segmented. The PC‐MRCAs, KE, and H(d) were nonrigidly registered to the average heart to create atlases. The method was compared with 1) rigid, 2) affine registration of the PC‐MRCAs, and 3) affine registration of segmentations. The peak and mean KE and H(d) before and after registration were calculated to evaluate interpolation error due to nonrigid registration. RESULTS: The segmentations deformed using nonrigid registration overlapped (median: 92.3%) more than rigid (23.1%, P < 0.001), and affine registration of PC‐MRCAs (38.5%, P < 0.001) and affine registration of segmentations (61.5%, P < 0.001). The peak KE was 4.9 mJ using the proposed method and affine registration of segmentations (P = 0.91), 3.5 mJ using rigid registration (P < 0.001), and 4.2 mJ using affine registration of the PC‐MRCAs (P < 0.001). The mean KE was 1.1 mJ using the proposed method, 0.8 mJ using rigid registration (P < 0.001), 0.9 mJ using affine registration of the PC‐MRCAs (P < 0.001), and 1.0 mJ using affine registration of segmentations (P = 0.028). The interpolation error was 5.2 ± 2.6% at mid‐systole, 2.8 ± 3.8% at early diastole for peak KE; 9.6 ± 9.3% at mid‐systole, 4.0 ± 4.6% at early diastole, and 4.9 ± 4.6% at late diastole for peak H(d). The mean KE and H(d) were not affected by interpolation. CONCLUSION: Hemodynamic atlases can be obtained with minimal user interaction using nonrigid registration of 4D Flow MRI. Level of Evidence: 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2017;46:1389–1399. |
format | Online Article Text |
id | pubmed-5655727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56557272017-11-01 Creating hemodynamic atlases of cardiac 4D flow MRI Cibis, Merih Bustamante, Mariana Eriksson, Jonatan Carlhäll, Carl‐Johan Ebbers, Tino J Magn Reson Imaging Original Research PURPOSE: Hemodynamic atlases can add to the pathophysiological understanding of cardiac diseases. This study proposes a method to create hemodynamic atlases using 4D Flow magnetic resonance imaging (MRI). The method is demonstrated for kinetic energy (KE) and helicity density (H(d)). MATERIALS AND METHODS: Thirteen healthy subjects underwent 4D Flow MRI at 3T. Phase‐contrast magnetic resonance cardioangiographies (PC‐MRCAs) and an average heart were created and segmented. The PC‐MRCAs, KE, and H(d) were nonrigidly registered to the average heart to create atlases. The method was compared with 1) rigid, 2) affine registration of the PC‐MRCAs, and 3) affine registration of segmentations. The peak and mean KE and H(d) before and after registration were calculated to evaluate interpolation error due to nonrigid registration. RESULTS: The segmentations deformed using nonrigid registration overlapped (median: 92.3%) more than rigid (23.1%, P < 0.001), and affine registration of PC‐MRCAs (38.5%, P < 0.001) and affine registration of segmentations (61.5%, P < 0.001). The peak KE was 4.9 mJ using the proposed method and affine registration of segmentations (P = 0.91), 3.5 mJ using rigid registration (P < 0.001), and 4.2 mJ using affine registration of the PC‐MRCAs (P < 0.001). The mean KE was 1.1 mJ using the proposed method, 0.8 mJ using rigid registration (P < 0.001), 0.9 mJ using affine registration of the PC‐MRCAs (P < 0.001), and 1.0 mJ using affine registration of segmentations (P = 0.028). The interpolation error was 5.2 ± 2.6% at mid‐systole, 2.8 ± 3.8% at early diastole for peak KE; 9.6 ± 9.3% at mid‐systole, 4.0 ± 4.6% at early diastole, and 4.9 ± 4.6% at late diastole for peak H(d). The mean KE and H(d) were not affected by interpolation. CONCLUSION: Hemodynamic atlases can be obtained with minimal user interaction using nonrigid registration of 4D Flow MRI. Level of Evidence: 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2017;46:1389–1399. John Wiley and Sons Inc. 2017-03-13 2017-11 /pmc/articles/PMC5655727/ /pubmed/28295788 http://dx.doi.org/10.1002/jmri.25691 Text en © 2017 The Authors Journal of Magnetic Resonance Imaging published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Research Cibis, Merih Bustamante, Mariana Eriksson, Jonatan Carlhäll, Carl‐Johan Ebbers, Tino Creating hemodynamic atlases of cardiac 4D flow MRI |
title | Creating hemodynamic atlases of cardiac 4D flow MRI |
title_full | Creating hemodynamic atlases of cardiac 4D flow MRI |
title_fullStr | Creating hemodynamic atlases of cardiac 4D flow MRI |
title_full_unstemmed | Creating hemodynamic atlases of cardiac 4D flow MRI |
title_short | Creating hemodynamic atlases of cardiac 4D flow MRI |
title_sort | creating hemodynamic atlases of cardiac 4d flow mri |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655727/ https://www.ncbi.nlm.nih.gov/pubmed/28295788 http://dx.doi.org/10.1002/jmri.25691 |
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