Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometry

Background The rotational activation created by spiral waves may be a mechanism for atrial fibrillation (AF), yet it is unclear how activation patterns obtained from endocardial baskets are influenced by the 3D geometric curvature of the atrium or 'unfolding' into 2D maps. We develop algor...

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Veröffentlicht in:PloS one 2021-04, Vol.16 (4), p.e0249873-e0249873, Article 0249873
Hauptverfasser: Abad, Ricardo, Collart, Orvil, Ganesan, Prasanth, Rogers, A. J., Alhusseini, Mahmood, Rodrigo, Miguel, Narayan, Sanjiv M., Rappel, Wouter-Jan
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container_issue 4
container_start_page e0249873
container_title PloS one
container_volume 16
creator Abad, Ricardo
Collart, Orvil
Ganesan, Prasanth
Rogers, A. J.
Alhusseini, Mahmood
Rodrigo, Miguel
Narayan, Sanjiv M.
Rappel, Wouter-Jan
description Background The rotational activation created by spiral waves may be a mechanism for atrial fibrillation (AF), yet it is unclear how activation patterns obtained from endocardial baskets are influenced by the 3D geometric curvature of the atrium or 'unfolding' into 2D maps. We develop algorithms that can visualize spiral waves and their tip locations on curved atrial geometries. We use these algorithms to quantify differences in AF maps and spiral tip locations between 3D basket reconstructions, projection onto 3D anatomical shells and unfolded 2D surfaces. Methods We tested our algorithms in N = 20 patients in whom AF was recorded from 64-pole baskets (Abbott, CA). Phase maps were generated by non-proprietary software to identify the tips of spiral waves, indicated by phase singularities. The number and density of spiral tips were compared in patient-specific 3D shells constructed from the basket, as well as 3D maps from clinical electroanatomic mapping systems and 2D maps. Results Patients (59.4 +/- 12.7 yrs, 60% M) showed 1.7 +/- 0.8 phase singularities/patient, in whom ablation terminated AF in 11/20 patients (55%). There was no difference in the location of phase singularities, between 3D curved surfaces and 2D unfolded surfaces, with a median correlation coefficient between phase singularity density maps of 0.985 (0.978-0.990). No significant impact was noted by phase singularities location in more curved regions or relative to the basket location (p>0.1). Conclusions AF maps and phase singularities mapped by endocardial baskets are qualitatively and quantitatively similar whether calculated by 3D phase maps on patient-specific curved atrial geometries or in 2D. Phase maps on patient-specific geometries may be easier to interpret relative to critical structures for ablation planning.
doi_str_mv 10.1371/journal.pone.0249873
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J. ; Alhusseini, Mahmood ; Rodrigo, Miguel ; Narayan, Sanjiv M. ; Rappel, Wouter-Jan</creator><contributor>Tolkacheva, Elena G.</contributor><creatorcontrib>Abad, Ricardo ; Collart, Orvil ; Ganesan, Prasanth ; Rogers, A. J. ; Alhusseini, Mahmood ; Rodrigo, Miguel ; Narayan, Sanjiv M. ; Rappel, Wouter-Jan ; Tolkacheva, Elena G.</creatorcontrib><description>Background The rotational activation created by spiral waves may be a mechanism for atrial fibrillation (AF), yet it is unclear how activation patterns obtained from endocardial baskets are influenced by the 3D geometric curvature of the atrium or 'unfolding' into 2D maps. We develop algorithms that can visualize spiral waves and their tip locations on curved atrial geometries. We use these algorithms to quantify differences in AF maps and spiral tip locations between 3D basket reconstructions, projection onto 3D anatomical shells and unfolded 2D surfaces. Methods We tested our algorithms in N = 20 patients in whom AF was recorded from 64-pole baskets (Abbott, CA). Phase maps were generated by non-proprietary software to identify the tips of spiral waves, indicated by phase singularities. The number and density of spiral tips were compared in patient-specific 3D shells constructed from the basket, as well as 3D maps from clinical electroanatomic mapping systems and 2D maps. Results Patients (59.4 +/- 12.7 yrs, 60% M) showed 1.7 +/- 0.8 phase singularities/patient, in whom ablation terminated AF in 11/20 patients (55%). There was no difference in the location of phase singularities, between 3D curved surfaces and 2D unfolded surfaces, with a median correlation coefficient between phase singularity density maps of 0.985 (0.978-0.990). No significant impact was noted by phase singularities location in more curved regions or relative to the basket location (p&gt;0.1). Conclusions AF maps and phase singularities mapped by endocardial baskets are qualitatively and quantitatively similar whether calculated by 3D phase maps on patient-specific curved atrial geometries or in 2D. Phase maps on patient-specific geometries may be easier to interpret relative to critical structures for ablation planning.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0249873</identifier><identifier>PMID: 33836026</identifier><language>eng</language><publisher>SAN FRANCISCO: Public Library Science</publisher><subject>Ablation ; Algorithms ; Arrhythmia ; Atria ; Atrial fibrillation ; Atrial Fibrillation - pathology ; Atrial Fibrillation - surgery ; Bandpass filters ; Baskets ; Biology and Life Sciences ; Cardiac arrhythmia ; Catheter Ablation ; Catheters ; Computer programs ; Data analysis ; Drafting software ; Editing ; Electric contacts ; Electrodes ; Electronic mail ; Electrophysiologic Techniques, Cardiac - methods ; Engineering and Technology ; Female ; Fibrillation ; Funding ; Humans ; Hypotheses ; Imaging, Three-Dimensional - methods ; Inclusions ; Male ; Mapping ; Medicine ; Medicine and Health Sciences ; Methodology ; Methods ; Middle Aged ; Morphology ; Multidisciplinary Sciences ; Physical Sciences ; Physics ; Physiological aspects ; Reconstruction ; Research and Analysis Methods ; Science &amp; Technology ; Science &amp; Technology - Other Topics ; Signal Processing, Computer-Assisted ; Software ; Visualization</subject><ispartof>PloS one, 2021-04, Vol.16 (4), p.e0249873-e0249873, Article 0249873</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Abad et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Abad et al 2021 Abad et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>2</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000639361000023</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c692t-b1e7827841e74b0c40900ec10c1f1ba1f1c170f3014977dbdbe8a8554d5edaf03</citedby><cites>FETCH-LOGICAL-c692t-b1e7827841e74b0c40900ec10c1f1ba1f1c170f3014977dbdbe8a8554d5edaf03</cites><orcidid>0000-0002-1885-0690 ; 0000-0001-6585-534X ; 0000-0001-7552-5053 ; 0000-0003-3833-7197</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034734/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034734/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2114,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33836026$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Tolkacheva, Elena G.</contributor><creatorcontrib>Abad, Ricardo</creatorcontrib><creatorcontrib>Collart, Orvil</creatorcontrib><creatorcontrib>Ganesan, Prasanth</creatorcontrib><creatorcontrib>Rogers, A. J.</creatorcontrib><creatorcontrib>Alhusseini, Mahmood</creatorcontrib><creatorcontrib>Rodrigo, Miguel</creatorcontrib><creatorcontrib>Narayan, Sanjiv M.</creatorcontrib><creatorcontrib>Rappel, Wouter-Jan</creatorcontrib><title>Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometry</title><title>PloS one</title><addtitle>PLOS ONE</addtitle><addtitle>PLoS One</addtitle><description>Background The rotational activation created by spiral waves may be a mechanism for atrial fibrillation (AF), yet it is unclear how activation patterns obtained from endocardial baskets are influenced by the 3D geometric curvature of the atrium or 'unfolding' into 2D maps. We develop algorithms that can visualize spiral waves and their tip locations on curved atrial geometries. We use these algorithms to quantify differences in AF maps and spiral tip locations between 3D basket reconstructions, projection onto 3D anatomical shells and unfolded 2D surfaces. Methods We tested our algorithms in N = 20 patients in whom AF was recorded from 64-pole baskets (Abbott, CA). Phase maps were generated by non-proprietary software to identify the tips of spiral waves, indicated by phase singularities. The number and density of spiral tips were compared in patient-specific 3D shells constructed from the basket, as well as 3D maps from clinical electroanatomic mapping systems and 2D maps. Results Patients (59.4 +/- 12.7 yrs, 60% M) showed 1.7 +/- 0.8 phase singularities/patient, in whom ablation terminated AF in 11/20 patients (55%). There was no difference in the location of phase singularities, between 3D curved surfaces and 2D unfolded surfaces, with a median correlation coefficient between phase singularity density maps of 0.985 (0.978-0.990). No significant impact was noted by phase singularities location in more curved regions or relative to the basket location (p&gt;0.1). Conclusions AF maps and phase singularities mapped by endocardial baskets are qualitatively and quantitatively similar whether calculated by 3D phase maps on patient-specific curved atrial geometries or in 2D. 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J. ; Alhusseini, Mahmood ; Rodrigo, Miguel ; Narayan, Sanjiv M. ; Rappel, Wouter-Jan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-b1e7827841e74b0c40900ec10c1f1ba1f1c170f3014977dbdbe8a8554d5edaf03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Ablation</topic><topic>Algorithms</topic><topic>Arrhythmia</topic><topic>Atria</topic><topic>Atrial fibrillation</topic><topic>Atrial Fibrillation - pathology</topic><topic>Atrial Fibrillation - surgery</topic><topic>Bandpass filters</topic><topic>Baskets</topic><topic>Biology and Life Sciences</topic><topic>Cardiac arrhythmia</topic><topic>Catheter Ablation</topic><topic>Catheters</topic><topic>Computer programs</topic><topic>Data analysis</topic><topic>Drafting software</topic><topic>Editing</topic><topic>Electric contacts</topic><topic>Electrodes</topic><topic>Electronic mail</topic><topic>Electrophysiologic Techniques, Cardiac - methods</topic><topic>Engineering and Technology</topic><topic>Female</topic><topic>Fibrillation</topic><topic>Funding</topic><topic>Humans</topic><topic>Hypotheses</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Inclusions</topic><topic>Male</topic><topic>Mapping</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Methodology</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Morphology</topic><topic>Multidisciplinary Sciences</topic><topic>Physical Sciences</topic><topic>Physics</topic><topic>Physiological aspects</topic><topic>Reconstruction</topic><topic>Research and Analysis Methods</topic><topic>Science &amp; Technology</topic><topic>Science &amp; Technology - Other Topics</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Software</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abad, Ricardo</creatorcontrib><creatorcontrib>Collart, Orvil</creatorcontrib><creatorcontrib>Ganesan, Prasanth</creatorcontrib><creatorcontrib>Rogers, A. 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J.</au><au>Alhusseini, Mahmood</au><au>Rodrigo, Miguel</au><au>Narayan, Sanjiv M.</au><au>Rappel, Wouter-Jan</au><au>Tolkacheva, Elena G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometry</atitle><jtitle>PloS one</jtitle><stitle>PLOS ONE</stitle><addtitle>PLoS One</addtitle><date>2021-04-09</date><risdate>2021</risdate><volume>16</volume><issue>4</issue><spage>e0249873</spage><epage>e0249873</epage><pages>e0249873-e0249873</pages><artnum>0249873</artnum><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Background The rotational activation created by spiral waves may be a mechanism for atrial fibrillation (AF), yet it is unclear how activation patterns obtained from endocardial baskets are influenced by the 3D geometric curvature of the atrium or 'unfolding' into 2D maps. We develop algorithms that can visualize spiral waves and their tip locations on curved atrial geometries. We use these algorithms to quantify differences in AF maps and spiral tip locations between 3D basket reconstructions, projection onto 3D anatomical shells and unfolded 2D surfaces. Methods We tested our algorithms in N = 20 patients in whom AF was recorded from 64-pole baskets (Abbott, CA). Phase maps were generated by non-proprietary software to identify the tips of spiral waves, indicated by phase singularities. The number and density of spiral tips were compared in patient-specific 3D shells constructed from the basket, as well as 3D maps from clinical electroanatomic mapping systems and 2D maps. Results Patients (59.4 +/- 12.7 yrs, 60% M) showed 1.7 +/- 0.8 phase singularities/patient, in whom ablation terminated AF in 11/20 patients (55%). There was no difference in the location of phase singularities, between 3D curved surfaces and 2D unfolded surfaces, with a median correlation coefficient between phase singularity density maps of 0.985 (0.978-0.990). No significant impact was noted by phase singularities location in more curved regions or relative to the basket location (p&gt;0.1). Conclusions AF maps and phase singularities mapped by endocardial baskets are qualitatively and quantitatively similar whether calculated by 3D phase maps on patient-specific curved atrial geometries or in 2D. Phase maps on patient-specific geometries may be easier to interpret relative to critical structures for ablation planning.</abstract><cop>SAN FRANCISCO</cop><pub>Public Library Science</pub><pmid>33836026</pmid><doi>10.1371/journal.pone.0249873</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-1885-0690</orcidid><orcidid>https://orcid.org/0000-0001-6585-534X</orcidid><orcidid>https://orcid.org/0000-0001-7552-5053</orcidid><orcidid>https://orcid.org/0000-0003-3833-7197</orcidid><oa>free_for_read</oa></addata></record>
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subjects Ablation
Algorithms
Arrhythmia
Atria
Atrial fibrillation
Atrial Fibrillation - pathology
Atrial Fibrillation - surgery
Bandpass filters
Baskets
Biology and Life Sciences
Cardiac arrhythmia
Catheter Ablation
Catheters
Computer programs
Data analysis
Drafting software
Editing
Electric contacts
Electrodes
Electronic mail
Electrophysiologic Techniques, Cardiac - methods
Engineering and Technology
Female
Fibrillation
Funding
Humans
Hypotheses
Imaging, Three-Dimensional - methods
Inclusions
Male
Mapping
Medicine
Medicine and Health Sciences
Methodology
Methods
Middle Aged
Morphology
Multidisciplinary Sciences
Physical Sciences
Physics
Physiological aspects
Reconstruction
Research and Analysis Methods
Science & Technology
Science & Technology - Other Topics
Signal Processing, Computer-Assisted
Software
Visualization
title Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometry
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