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Using Dictionary Matching to Improve the Accuracy of MOLLI Myocardial T1 Analysis and Measurements of Heart Rate Variability
We analyzed modified Look-Locker inversion recovery (MOLLI) T1 measurements by applying a dictionary matching strategy and aimed to acquire T1 measurements more accurately than those acquired by the conventional three-parameter matching analysis. We particularly clarified the robustness of this meth...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Japanese Society for Magnetic Resonance in Medicine
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449558/ https://www.ncbi.nlm.nih.gov/pubmed/35732413 http://dx.doi.org/10.2463/mrms.tn.2022-0013 |
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author | Endo, Yuta Kobayashi, Kuninori Shibo, Haruna Amanuma, Makoto Kuhara, Shigehide |
author_facet | Endo, Yuta Kobayashi, Kuninori Shibo, Haruna Amanuma, Makoto Kuhara, Shigehide |
author_sort | Endo, Yuta |
collection | PubMed |
description | We analyzed modified Look-Locker inversion recovery (MOLLI) T1 measurements by applying a dictionary matching strategy and aimed to acquire T1 measurements more accurately than those acquired by the conventional three-parameter matching analysis. We particularly clarified the robustness of this method for measuring heart rate (HR) variability. A phantom experiment using a 3T MRI system was performed for various HRs. The ideal MOLLI signal corresponding to the scan parameter in the MRI experiment was simulated over a wide range of T1 values according to the dictionary. The unknown T1 values were determined by finding the simulated signals in the dictionary corresponding to the measured signals using pattern matching. The measured T1 values showed that the proposed analysis improved the accuracy of T1 measurements compared to those acquired by traditional analysis by up to 10%. In addition, the variability of measurements at several HRs was reduced by up to 100 ms. |
format | Online Article Text |
id | pubmed-10449558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Japanese Society for Magnetic Resonance in Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-104495582023-08-25 Using Dictionary Matching to Improve the Accuracy of MOLLI Myocardial T1 Analysis and Measurements of Heart Rate Variability Endo, Yuta Kobayashi, Kuninori Shibo, Haruna Amanuma, Makoto Kuhara, Shigehide Magn Reson Med Sci Technical Note We analyzed modified Look-Locker inversion recovery (MOLLI) T1 measurements by applying a dictionary matching strategy and aimed to acquire T1 measurements more accurately than those acquired by the conventional three-parameter matching analysis. We particularly clarified the robustness of this method for measuring heart rate (HR) variability. A phantom experiment using a 3T MRI system was performed for various HRs. The ideal MOLLI signal corresponding to the scan parameter in the MRI experiment was simulated over a wide range of T1 values according to the dictionary. The unknown T1 values were determined by finding the simulated signals in the dictionary corresponding to the measured signals using pattern matching. The measured T1 values showed that the proposed analysis improved the accuracy of T1 measurements compared to those acquired by traditional analysis by up to 10%. In addition, the variability of measurements at several HRs was reduced by up to 100 ms. Japanese Society for Magnetic Resonance in Medicine 2022-06-23 /pmc/articles/PMC10449558/ /pubmed/35732413 http://dx.doi.org/10.2463/mrms.tn.2022-0013 Text en ©2022 Japanese Society for Magnetic Resonance in Medicine https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Technical Note Endo, Yuta Kobayashi, Kuninori Shibo, Haruna Amanuma, Makoto Kuhara, Shigehide Using Dictionary Matching to Improve the Accuracy of MOLLI Myocardial T1 Analysis and Measurements of Heart Rate Variability |
title | Using Dictionary Matching to Improve the Accuracy of MOLLI Myocardial T1 Analysis and Measurements of Heart Rate Variability |
title_full | Using Dictionary Matching to Improve the Accuracy of MOLLI Myocardial T1 Analysis and Measurements of Heart Rate Variability |
title_fullStr | Using Dictionary Matching to Improve the Accuracy of MOLLI Myocardial T1 Analysis and Measurements of Heart Rate Variability |
title_full_unstemmed | Using Dictionary Matching to Improve the Accuracy of MOLLI Myocardial T1 Analysis and Measurements of Heart Rate Variability |
title_short | Using Dictionary Matching to Improve the Accuracy of MOLLI Myocardial T1 Analysis and Measurements of Heart Rate Variability |
title_sort | using dictionary matching to improve the accuracy of molli myocardial t1 analysis and measurements of heart rate variability |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449558/ https://www.ncbi.nlm.nih.gov/pubmed/35732413 http://dx.doi.org/10.2463/mrms.tn.2022-0013 |
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