Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI.

In patients with dense breasts or at high risk of breast cancer, dynamic contrast enhanced MRI (DCE-MRI) is a highly sensitive diagnostic tool. However, its specificity is highly variable and sometimes low; quantitative measurements of contrast uptake parameters may improve specificity and mitigate...

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Autores principales:	Ty O Easley, Zhen Ren, Byol Kim, Gregory S Karczmar, Rina F Barber, Federico D Pineda
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/665d63a87e4b438a97931fba2f096b69
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id	oai:doaj.org-article:665d63a87e4b438a97931fba2f096b69
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spelling	oai:doaj.org-article:665d63a87e4b438a97931fba2f096b692021-12-02T20:16:31ZEnhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI.1932-620310.1371/journal.pone.0258621https://doaj.org/article/665d63a87e4b438a97931fba2f096b692021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0258621https://doaj.org/toc/1932-6203In patients with dense breasts or at high risk of breast cancer, dynamic contrast enhanced MRI (DCE-MRI) is a highly sensitive diagnostic tool. However, its specificity is highly variable and sometimes low; quantitative measurements of contrast uptake parameters may improve specificity and mitigate this issue. To improve diagnostic accuracy, data need to be captured at high spatial and temporal resolution. While many methods exist to accelerate MRI temporal resolution, not all are optimized to capture breast DCE-MRI dynamics. We propose a novel, flexible, and powerful framework for the reconstruction of highly-undersampled DCE-MRI data: enhancement-constrained acceleration (ECA). Enhancement-constrained acceleration uses an assumption of smooth enhancement at small time-scale to estimate points of smooth enhancement curves in small time intervals at each voxel. This method is tested in silico with physiologically realistic virtual phantoms, simulating state-of-the-art ultrafast acquisitions at 3.5s temporal resolution reconstructed at 0.25s temporal resolution (demo code available here). Virtual phantoms were developed from real patient data and parametrized in continuous time with arterial input function (AIF) models and lesion enhancement functions. Enhancement-constrained acceleration was compared to standard ultrafast reconstruction in estimating the bolus arrival time and initial slope of enhancement from reconstructed images. We found that the ECA method reconstructed images at 0.25s temporal resolution with no significant loss in image fidelity, a 4x reduction in the error of bolus arrival time estimation in lesions (p < 0.01) and 11x error reduction in blood vessels (p < 0.01). Our results suggest that ECA is a powerful and versatile tool for breast DCE-MRI.Ty O EasleyZhen RenByol KimGregory S KarczmarRina F BarberFederico D PinedaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0258621 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ty O Easley Zhen Ren Byol Kim Gregory S Karczmar Rina F Barber Federico D Pineda Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI.
description	In patients with dense breasts or at high risk of breast cancer, dynamic contrast enhanced MRI (DCE-MRI) is a highly sensitive diagnostic tool. However, its specificity is highly variable and sometimes low; quantitative measurements of contrast uptake parameters may improve specificity and mitigate this issue. To improve diagnostic accuracy, data need to be captured at high spatial and temporal resolution. While many methods exist to accelerate MRI temporal resolution, not all are optimized to capture breast DCE-MRI dynamics. We propose a novel, flexible, and powerful framework for the reconstruction of highly-undersampled DCE-MRI data: enhancement-constrained acceleration (ECA). Enhancement-constrained acceleration uses an assumption of smooth enhancement at small time-scale to estimate points of smooth enhancement curves in small time intervals at each voxel. This method is tested in silico with physiologically realistic virtual phantoms, simulating state-of-the-art ultrafast acquisitions at 3.5s temporal resolution reconstructed at 0.25s temporal resolution (demo code available here). Virtual phantoms were developed from real patient data and parametrized in continuous time with arterial input function (AIF) models and lesion enhancement functions. Enhancement-constrained acceleration was compared to standard ultrafast reconstruction in estimating the bolus arrival time and initial slope of enhancement from reconstructed images. We found that the ECA method reconstructed images at 0.25s temporal resolution with no significant loss in image fidelity, a 4x reduction in the error of bolus arrival time estimation in lesions (p < 0.01) and 11x error reduction in blood vessels (p < 0.01). Our results suggest that ECA is a powerful and versatile tool for breast DCE-MRI.
format	article
author	Ty O Easley Zhen Ren Byol Kim Gregory S Karczmar Rina F Barber Federico D Pineda
author_facet	Ty O Easley Zhen Ren Byol Kim Gregory S Karczmar Rina F Barber Federico D Pineda
author_sort	Ty O Easley
title	Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI.
title_short	Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI.
title_full	Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI.
title_fullStr	Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI.
title_full_unstemmed	Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI.
title_sort	enhancement-constrained acceleration: a robust reconstruction framework in breast dce-mri.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/665d63a87e4b438a97931fba2f096b69
work_keys_str_mv	AT tyoeasley enhancementconstrainedaccelerationarobustreconstructionframeworkinbreastdcemri AT zhenren enhancementconstrainedaccelerationarobustreconstructionframeworkinbreastdcemri AT byolkim enhancementconstrainedaccelerationarobustreconstructionframeworkinbreastdcemri AT gregoryskarczmar enhancementconstrainedaccelerationarobustreconstructionframeworkinbreastdcemri AT rinafbarber enhancementconstrainedaccelerationarobustreconstructionframeworkinbreastdcemri AT federicodpineda enhancementconstrainedaccelerationarobustreconstructionframeworkinbreastdcemri
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Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI.

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