Cargando…

Faster 3D saturation-recovery based myocardial T1 mapping using a reduced number of saturation points and denoising

PURPOSE: To accelerate the acquisition of free-breathing 3D saturation-recovery-based (SASHA) myocardial T1 mapping by acquiring fewer saturation points in combination with a post-processing 3D denoising technique to maintain high accuracy and precision. METHODS: 3D SASHA T1 mapping acquires nine T1...

Descripción completa

Detalles Bibliográficos
Autores principales: Nordio, Giovanna, Bustin, Aurelien, Odille, Freddy, Schneider, Torben, Henningsson, Markus, Prieto, Claudia, Botnar, René M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147792/
https://www.ncbi.nlm.nih.gov/pubmed/32275668
http://dx.doi.org/10.1371/journal.pone.0221071
_version_ 1783520483360112640
author Nordio, Giovanna
Bustin, Aurelien
Odille, Freddy
Schneider, Torben
Henningsson, Markus
Prieto, Claudia
Botnar, René M.
author_facet Nordio, Giovanna
Bustin, Aurelien
Odille, Freddy
Schneider, Torben
Henningsson, Markus
Prieto, Claudia
Botnar, René M.
author_sort Nordio, Giovanna
collection PubMed
description PURPOSE: To accelerate the acquisition of free-breathing 3D saturation-recovery-based (SASHA) myocardial T1 mapping by acquiring fewer saturation points in combination with a post-processing 3D denoising technique to maintain high accuracy and precision. METHODS: 3D SASHA T1 mapping acquires nine T1-weighted images along the saturation recovery curve, resulting in long acquisition times. In this work, we propose to accelerate conventional cardiac T1 mapping by reducing the number of saturation points. High T1 accuracy and low standard deviation (as a surrogate for precision) is maintained by applying a 3D denoising technique to the T1-weighted images prior to pixel-wise T1 fitting. The proposed approach was evaluated on a T1 phantom and 20 healthy subjects, by varying the number of T1-weighted images acquired between three and nine, both prospectively and retrospectively. Following the results from the healthy subjects, three patients with suspected cardiovascular disease were acquired using five T1-weighted images. T1 accuracy and precision was determined for all the acquisitions before and after denoising. RESULTS: In the T1 phantom, no statistical difference was found in terms of accuracy and precision for the different number of T1-weighted images before or after denoising (P = 0.99 and P = 0.99 for accuracy, P = 0.64 and P = 0.42 for precision, respectively). In vivo, both prospectively and retrospectively, the precision improved considerably with the number of T1-weighted images employed before denoising (P<0.05) but was independent on the number of T1-weighted images after denoising. CONCLUSION: We demonstrate the feasibility of accelerating 3D SASHA T1 mapping by reducing the number of acquired T1-weighted images in combination with an efficient 3D denoising, without affecting accuracy and precision of T1 values.
format Online
Article
Text
id pubmed-7147792
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-71477922020-04-14 Faster 3D saturation-recovery based myocardial T1 mapping using a reduced number of saturation points and denoising Nordio, Giovanna Bustin, Aurelien Odille, Freddy Schneider, Torben Henningsson, Markus Prieto, Claudia Botnar, René M. PLoS One Research Article PURPOSE: To accelerate the acquisition of free-breathing 3D saturation-recovery-based (SASHA) myocardial T1 mapping by acquiring fewer saturation points in combination with a post-processing 3D denoising technique to maintain high accuracy and precision. METHODS: 3D SASHA T1 mapping acquires nine T1-weighted images along the saturation recovery curve, resulting in long acquisition times. In this work, we propose to accelerate conventional cardiac T1 mapping by reducing the number of saturation points. High T1 accuracy and low standard deviation (as a surrogate for precision) is maintained by applying a 3D denoising technique to the T1-weighted images prior to pixel-wise T1 fitting. The proposed approach was evaluated on a T1 phantom and 20 healthy subjects, by varying the number of T1-weighted images acquired between three and nine, both prospectively and retrospectively. Following the results from the healthy subjects, three patients with suspected cardiovascular disease were acquired using five T1-weighted images. T1 accuracy and precision was determined for all the acquisitions before and after denoising. RESULTS: In the T1 phantom, no statistical difference was found in terms of accuracy and precision for the different number of T1-weighted images before or after denoising (P = 0.99 and P = 0.99 for accuracy, P = 0.64 and P = 0.42 for precision, respectively). In vivo, both prospectively and retrospectively, the precision improved considerably with the number of T1-weighted images employed before denoising (P<0.05) but was independent on the number of T1-weighted images after denoising. CONCLUSION: We demonstrate the feasibility of accelerating 3D SASHA T1 mapping by reducing the number of acquired T1-weighted images in combination with an efficient 3D denoising, without affecting accuracy and precision of T1 values. Public Library of Science 2020-04-10 /pmc/articles/PMC7147792/ /pubmed/32275668 http://dx.doi.org/10.1371/journal.pone.0221071 Text en © 2020 Nordio et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nordio, Giovanna
Bustin, Aurelien
Odille, Freddy
Schneider, Torben
Henningsson, Markus
Prieto, Claudia
Botnar, René M.
Faster 3D saturation-recovery based myocardial T1 mapping using a reduced number of saturation points and denoising
title Faster 3D saturation-recovery based myocardial T1 mapping using a reduced number of saturation points and denoising
title_full Faster 3D saturation-recovery based myocardial T1 mapping using a reduced number of saturation points and denoising
title_fullStr Faster 3D saturation-recovery based myocardial T1 mapping using a reduced number of saturation points and denoising
title_full_unstemmed Faster 3D saturation-recovery based myocardial T1 mapping using a reduced number of saturation points and denoising
title_short Faster 3D saturation-recovery based myocardial T1 mapping using a reduced number of saturation points and denoising
title_sort faster 3d saturation-recovery based myocardial t1 mapping using a reduced number of saturation points and denoising
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147792/
https://www.ncbi.nlm.nih.gov/pubmed/32275668
http://dx.doi.org/10.1371/journal.pone.0221071
work_keys_str_mv AT nordiogiovanna faster3dsaturationrecoverybasedmyocardialt1mappingusingareducednumberofsaturationpointsanddenoising
AT bustinaurelien faster3dsaturationrecoverybasedmyocardialt1mappingusingareducednumberofsaturationpointsanddenoising
AT odillefreddy faster3dsaturationrecoverybasedmyocardialt1mappingusingareducednumberofsaturationpointsanddenoising
AT schneidertorben faster3dsaturationrecoverybasedmyocardialt1mappingusingareducednumberofsaturationpointsanddenoising
AT henningssonmarkus faster3dsaturationrecoverybasedmyocardialt1mappingusingareducednumberofsaturationpointsanddenoising
AT prietoclaudia faster3dsaturationrecoverybasedmyocardialt1mappingusingareducednumberofsaturationpointsanddenoising
AT botnarrenem faster3dsaturationrecoverybasedmyocardialt1mappingusingareducednumberofsaturationpointsanddenoising