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Dynamic CT myocardial perfusion without image registration
The aim of this study was to validate a motion-immune (MI) solution to dynamic CT myocardial perfusion measurement, in the presence of motion without image registration. The MI perfusion technique was retrospectively validated in six swine (37.3 ± 7.5 kg) with a motion-susceptible (MS) perfusion tec...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308794/ https://www.ncbi.nlm.nih.gov/pubmed/35871187 http://dx.doi.org/10.1038/s41598-022-16573-w |
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author | Hubbard, Logan Malkasian, Shant Molloi, Sabee |
author_facet | Hubbard, Logan Malkasian, Shant Molloi, Sabee |
author_sort | Hubbard, Logan |
collection | PubMed |
description | The aim of this study was to validate a motion-immune (MI) solution to dynamic CT myocardial perfusion measurement, in the presence of motion without image registration. The MI perfusion technique was retrospectively validated in six swine (37.3 ± 7.5 kg) with a motion-susceptible (MS) perfusion technique performed for comparison. In each swine, varying severities of stenoses were generated in the left anterior descending (LAD) coronary artery using a balloon under intracoronary adenosine stress, followed by contrast-enhanced imaging with 20 consecutive volume scans per stenosis. Two volume scans were then systematically selected from each acquisition for both MI and MS perfusion measurement, where the resulting LAD and left circumflex (LCx) measurements were compared to reference microsphere perfusion measurements using regression and diagnostic performance analysis. The MI (P(MI)) and microsphere (P(MICRO)) perfusion measurements were related through regression by P(MI) = 0.98 P(MICRO) + 0.03 (r = 0.97), while the MS (P(MS)) and microsphere (P(MICRO)) perfusion measurements were related by P(MS) = 0.62 P(MICRO) + 0.15 (r = 0.89). The accuracy of the MI and MS techniques in detecting functionally significant stenosis was 93% and 84%, respectively. The motion-immune (MI) perfusion technique provides accurate myocardial perfusion measurement in the presence of motion without image registration. |
format | Online Article Text |
id | pubmed-9308794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93087942022-07-25 Dynamic CT myocardial perfusion without image registration Hubbard, Logan Malkasian, Shant Molloi, Sabee Sci Rep Article The aim of this study was to validate a motion-immune (MI) solution to dynamic CT myocardial perfusion measurement, in the presence of motion without image registration. The MI perfusion technique was retrospectively validated in six swine (37.3 ± 7.5 kg) with a motion-susceptible (MS) perfusion technique performed for comparison. In each swine, varying severities of stenoses were generated in the left anterior descending (LAD) coronary artery using a balloon under intracoronary adenosine stress, followed by contrast-enhanced imaging with 20 consecutive volume scans per stenosis. Two volume scans were then systematically selected from each acquisition for both MI and MS perfusion measurement, where the resulting LAD and left circumflex (LCx) measurements were compared to reference microsphere perfusion measurements using regression and diagnostic performance analysis. The MI (P(MI)) and microsphere (P(MICRO)) perfusion measurements were related through regression by P(MI) = 0.98 P(MICRO) + 0.03 (r = 0.97), while the MS (P(MS)) and microsphere (P(MICRO)) perfusion measurements were related by P(MS) = 0.62 P(MICRO) + 0.15 (r = 0.89). The accuracy of the MI and MS techniques in detecting functionally significant stenosis was 93% and 84%, respectively. The motion-immune (MI) perfusion technique provides accurate myocardial perfusion measurement in the presence of motion without image registration. Nature Publishing Group UK 2022-07-23 /pmc/articles/PMC9308794/ /pubmed/35871187 http://dx.doi.org/10.1038/s41598-022-16573-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hubbard, Logan Malkasian, Shant Molloi, Sabee Dynamic CT myocardial perfusion without image registration |
title | Dynamic CT myocardial perfusion without image registration |
title_full | Dynamic CT myocardial perfusion without image registration |
title_fullStr | Dynamic CT myocardial perfusion without image registration |
title_full_unstemmed | Dynamic CT myocardial perfusion without image registration |
title_short | Dynamic CT myocardial perfusion without image registration |
title_sort | dynamic ct myocardial perfusion without image registration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308794/ https://www.ncbi.nlm.nih.gov/pubmed/35871187 http://dx.doi.org/10.1038/s41598-022-16573-w |
work_keys_str_mv | AT hubbardlogan dynamicctmyocardialperfusionwithoutimageregistration AT malkasianshant dynamicctmyocardialperfusionwithoutimageregistration AT molloisabee dynamicctmyocardialperfusionwithoutimageregistration |