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Dark blood T2-weighted imaging of the human heart with AI-assisted compressed sensing: a patient cohort study
BACKGROUND: Dark blood T2-weighted (DB-T2W) imaging is widely used to evaluate myocardial edema in myocarditis and inflammatory cardiomyopathy. However, this technique is sensitive to arrhythmia, tachycardia, and cardiac and respiratory motion due to the long scan time with multiple breath-holds. Th...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006119/ https://www.ncbi.nlm.nih.gov/pubmed/36915316 http://dx.doi.org/10.21037/qims-22-607 |
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author | Yan, Xianghu Ran, Lingping Zou, Lixian Luo, Yi Yang, Zhaoxia Zhang, Shiyu Zhang, Shuheng Xu, Jian Huang, Lu Xia, Liming |
author_facet | Yan, Xianghu Ran, Lingping Zou, Lixian Luo, Yi Yang, Zhaoxia Zhang, Shiyu Zhang, Shuheng Xu, Jian Huang, Lu Xia, Liming |
author_sort | Yan, Xianghu |
collection | PubMed |
description | BACKGROUND: Dark blood T2-weighted (DB-T2W) imaging is widely used to evaluate myocardial edema in myocarditis and inflammatory cardiomyopathy. However, this technique is sensitive to arrhythmia, tachycardia, and cardiac and respiratory motion due to the long scan time with multiple breath-holds. The application of artificial intelligence (AI)-assisted compressed sensing (ACS) has facilitated significant progress in accelerating medical imaging. However, the effect of DB-T2W imaging on ACS has not been elucidated. This study aimed to examine the effects of ACS on the image quality of single-shot and multi-shot DB-T2W imaging of edema. METHODS: Thirty-three patients were included in this study and received DB-T2W imaging with ACS, including single-shot acquisition (SS-ACS) and multi-shot acquisition (MS-ACS). The resulting images were compared with those of the conventional multi-shot DB-T2W imaging with parallel imaging (MS-PI). Quantitative assessments of the signal-to-noise ratio (SNR), tissue contrast ratio (CR), and contrast-to-noise ratio (CNR) were performed. Three radiologists independently evaluated the overall image quality, blood nulling, free wall of the left ventricle, free wall of the right ventricle, and interventricular septum using a 5-point Likert scale. RESULTS: The total scan time of the DB-T2W imaging with ACS was significantly reduced compared to the conventional parallel imaging [number of heartbeats (SS-ACS:MS-ACS:MS-PI) =19:63:99; P<0.001]. The SNR(myocardium) and CNR(blood-myocardium) of MS-ACS and SS-ACS were higher than those of MS-PI (all P values <0.01). Furthermore, the CR(blood-myocardium) of SS-ACS was also higher than that of MS-PI (P<0.01). There were significant differences in overall image quality, blood nulling, left ventricle free wall visibility, and septum visibility between the MS-PI, MS-ACS, and SS-ACS protocols (all P values <0.05). Moreover, blood in the heart was better nulled using SS-ACS (P<0.01). CONCLUSIONS: The ACS method shortens the scan time of DB-T2W imaging and achieves comparable or even better image quality compared to the PI method. Moreover, DB-T2W imaging using the ACS method can reduce the number of breath-holds to 1 with single-shot acquisition. |
format | Online Article Text |
id | pubmed-10006119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-100061192023-03-12 Dark blood T2-weighted imaging of the human heart with AI-assisted compressed sensing: a patient cohort study Yan, Xianghu Ran, Lingping Zou, Lixian Luo, Yi Yang, Zhaoxia Zhang, Shiyu Zhang, Shuheng Xu, Jian Huang, Lu Xia, Liming Quant Imaging Med Surg Original Article BACKGROUND: Dark blood T2-weighted (DB-T2W) imaging is widely used to evaluate myocardial edema in myocarditis and inflammatory cardiomyopathy. However, this technique is sensitive to arrhythmia, tachycardia, and cardiac and respiratory motion due to the long scan time with multiple breath-holds. The application of artificial intelligence (AI)-assisted compressed sensing (ACS) has facilitated significant progress in accelerating medical imaging. However, the effect of DB-T2W imaging on ACS has not been elucidated. This study aimed to examine the effects of ACS on the image quality of single-shot and multi-shot DB-T2W imaging of edema. METHODS: Thirty-three patients were included in this study and received DB-T2W imaging with ACS, including single-shot acquisition (SS-ACS) and multi-shot acquisition (MS-ACS). The resulting images were compared with those of the conventional multi-shot DB-T2W imaging with parallel imaging (MS-PI). Quantitative assessments of the signal-to-noise ratio (SNR), tissue contrast ratio (CR), and contrast-to-noise ratio (CNR) were performed. Three radiologists independently evaluated the overall image quality, blood nulling, free wall of the left ventricle, free wall of the right ventricle, and interventricular septum using a 5-point Likert scale. RESULTS: The total scan time of the DB-T2W imaging with ACS was significantly reduced compared to the conventional parallel imaging [number of heartbeats (SS-ACS:MS-ACS:MS-PI) =19:63:99; P<0.001]. The SNR(myocardium) and CNR(blood-myocardium) of MS-ACS and SS-ACS were higher than those of MS-PI (all P values <0.01). Furthermore, the CR(blood-myocardium) of SS-ACS was also higher than that of MS-PI (P<0.01). There were significant differences in overall image quality, blood nulling, left ventricle free wall visibility, and septum visibility between the MS-PI, MS-ACS, and SS-ACS protocols (all P values <0.05). Moreover, blood in the heart was better nulled using SS-ACS (P<0.01). CONCLUSIONS: The ACS method shortens the scan time of DB-T2W imaging and achieves comparable or even better image quality compared to the PI method. Moreover, DB-T2W imaging using the ACS method can reduce the number of breath-holds to 1 with single-shot acquisition. AME Publishing Company 2023-02-09 2023-03-01 /pmc/articles/PMC10006119/ /pubmed/36915316 http://dx.doi.org/10.21037/qims-22-607 Text en 2023 Quantitative Imaging in Medicine and Surgery. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Yan, Xianghu Ran, Lingping Zou, Lixian Luo, Yi Yang, Zhaoxia Zhang, Shiyu Zhang, Shuheng Xu, Jian Huang, Lu Xia, Liming Dark blood T2-weighted imaging of the human heart with AI-assisted compressed sensing: a patient cohort study |
title | Dark blood T2-weighted imaging of the human heart with AI-assisted compressed sensing: a patient cohort study |
title_full | Dark blood T2-weighted imaging of the human heart with AI-assisted compressed sensing: a patient cohort study |
title_fullStr | Dark blood T2-weighted imaging of the human heart with AI-assisted compressed sensing: a patient cohort study |
title_full_unstemmed | Dark blood T2-weighted imaging of the human heart with AI-assisted compressed sensing: a patient cohort study |
title_short | Dark blood T2-weighted imaging of the human heart with AI-assisted compressed sensing: a patient cohort study |
title_sort | dark blood t2-weighted imaging of the human heart with ai-assisted compressed sensing: a patient cohort study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006119/ https://www.ncbi.nlm.nih.gov/pubmed/36915316 http://dx.doi.org/10.21037/qims-22-607 |
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