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Standardized unfold mapping: a technique to permit left atrial regional data display and analysis
PURPOSE: Left atrial arrhythmia substrate assessment can involve multiple imaging and electrical modalities, but visual analysis of data on 3D surfaces is time-consuming and suffers from limited reproducibility. Unfold maps (e.g., the left ventricular bull’s eye plot) allow 2D visualization, facilit...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5633640/ https://www.ncbi.nlm.nih.gov/pubmed/28884216 http://dx.doi.org/10.1007/s10840-017-0281-3 |
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author | Williams, Steven E. Tobon-Gomez, Catalina Zuluaga, Maria A. Chubb, Henry Butakoff, Constantine Karim, Rashed Ahmed, Elena Camara, Oscar Rhode, Kawal S. |
author_facet | Williams, Steven E. Tobon-Gomez, Catalina Zuluaga, Maria A. Chubb, Henry Butakoff, Constantine Karim, Rashed Ahmed, Elena Camara, Oscar Rhode, Kawal S. |
author_sort | Williams, Steven E. |
collection | PubMed |
description | PURPOSE: Left atrial arrhythmia substrate assessment can involve multiple imaging and electrical modalities, but visual analysis of data on 3D surfaces is time-consuming and suffers from limited reproducibility. Unfold maps (e.g., the left ventricular bull’s eye plot) allow 2D visualization, facilitate multimodal data representation, and provide a common reference space for inter-subject comparison. The aim of this work is to develop a method for automatic representation of multimodal information on a left atrial standardized unfold map (LA-SUM). METHODS: The LA-SUM technique was developed and validated using 18 electroanatomic mapping (EAM) LA geometries before being applied to ten cardiac magnetic resonance/EAM paired geometries. The LA-SUM was defined as an unfold template of an average LA mesh, and registration of clinical data to this mesh facilitated creation of new LA-SUMs by surface parameterization. RESULTS: The LA-SUM represents 24 LA regions on a flattened surface. Intra-observer variability of LA-SUMs for both EAM and CMR datasets was minimal; root-mean square difference of 0.008 ± 0.010 and 0.007 ± 0.005 ms (local activation time maps), 0.068 ± 0.063 gs (force-time integral maps), and 0.031 ± 0.026 (CMR LGE signal intensity maps). Following validation, LA-SUMs were used for automatic quantification of post-ablation scar formation using CMR imaging, demonstrating a weak but significant relationship between ablation force-time integral and scar coverage (R (2) = 0.18, P < 0.0001). CONCLUSIONS: The proposed LA-SUM displays an integrated unfold map for multimodal information. The method is applicable to any LA surface, including those derived from imaging and EAM systems. The LA-SUM would facilitate standardization of future research studies involving segmental analysis of the LA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10840-017-0281-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5633640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-56336402017-10-23 Standardized unfold mapping: a technique to permit left atrial regional data display and analysis Williams, Steven E. Tobon-Gomez, Catalina Zuluaga, Maria A. Chubb, Henry Butakoff, Constantine Karim, Rashed Ahmed, Elena Camara, Oscar Rhode, Kawal S. J Interv Card Electrophysiol Multimedia Report PURPOSE: Left atrial arrhythmia substrate assessment can involve multiple imaging and electrical modalities, but visual analysis of data on 3D surfaces is time-consuming and suffers from limited reproducibility. Unfold maps (e.g., the left ventricular bull’s eye plot) allow 2D visualization, facilitate multimodal data representation, and provide a common reference space for inter-subject comparison. The aim of this work is to develop a method for automatic representation of multimodal information on a left atrial standardized unfold map (LA-SUM). METHODS: The LA-SUM technique was developed and validated using 18 electroanatomic mapping (EAM) LA geometries before being applied to ten cardiac magnetic resonance/EAM paired geometries. The LA-SUM was defined as an unfold template of an average LA mesh, and registration of clinical data to this mesh facilitated creation of new LA-SUMs by surface parameterization. RESULTS: The LA-SUM represents 24 LA regions on a flattened surface. Intra-observer variability of LA-SUMs for both EAM and CMR datasets was minimal; root-mean square difference of 0.008 ± 0.010 and 0.007 ± 0.005 ms (local activation time maps), 0.068 ± 0.063 gs (force-time integral maps), and 0.031 ± 0.026 (CMR LGE signal intensity maps). Following validation, LA-SUMs were used for automatic quantification of post-ablation scar formation using CMR imaging, demonstrating a weak but significant relationship between ablation force-time integral and scar coverage (R (2) = 0.18, P < 0.0001). CONCLUSIONS: The proposed LA-SUM displays an integrated unfold map for multimodal information. The method is applicable to any LA surface, including those derived from imaging and EAM systems. The LA-SUM would facilitate standardization of future research studies involving segmental analysis of the LA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10840-017-0281-3) contains supplementary material, which is available to authorized users. Springer US 2017-09-07 2017 /pmc/articles/PMC5633640/ /pubmed/28884216 http://dx.doi.org/10.1007/s10840-017-0281-3 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Multimedia Report Williams, Steven E. Tobon-Gomez, Catalina Zuluaga, Maria A. Chubb, Henry Butakoff, Constantine Karim, Rashed Ahmed, Elena Camara, Oscar Rhode, Kawal S. Standardized unfold mapping: a technique to permit left atrial regional data display and analysis |
title | Standardized unfold mapping: a technique to permit left atrial regional data display and analysis |
title_full | Standardized unfold mapping: a technique to permit left atrial regional data display and analysis |
title_fullStr | Standardized unfold mapping: a technique to permit left atrial regional data display and analysis |
title_full_unstemmed | Standardized unfold mapping: a technique to permit left atrial regional data display and analysis |
title_short | Standardized unfold mapping: a technique to permit left atrial regional data display and analysis |
title_sort | standardized unfold mapping: a technique to permit left atrial regional data display and analysis |
topic | Multimedia Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5633640/ https://www.ncbi.nlm.nih.gov/pubmed/28884216 http://dx.doi.org/10.1007/s10840-017-0281-3 |
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