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Quantitative transport mapping (QTM) of the kidney with an approximate microvascular network

PURPOSE: Proof‐of‐concept study of mapping renal blood flow vector field according to the inverse solution to a mass transport model of time resolved tracer‐labeled MRI data. THEORY AND METHODS: To determine tissue perfusion according to the underlying physics of spatiotemporal tracer concentration...

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Autores principales: Zhou, Liangdong, Zhang, Qihao, Spincemaille, Pascal, Nguyen, Thanh D., Morgan, John, Dai, Weiying, Li, Yi, Gupta, Ajay, Prince, Martin R., Wang, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839791/
https://www.ncbi.nlm.nih.gov/pubmed/33210310
http://dx.doi.org/10.1002/mrm.28584
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author Zhou, Liangdong
Zhang, Qihao
Spincemaille, Pascal
Nguyen, Thanh D.
Morgan, John
Dai, Weiying
Li, Yi
Gupta, Ajay
Prince, Martin R.
Wang, Yi
author_facet Zhou, Liangdong
Zhang, Qihao
Spincemaille, Pascal
Nguyen, Thanh D.
Morgan, John
Dai, Weiying
Li, Yi
Gupta, Ajay
Prince, Martin R.
Wang, Yi
author_sort Zhou, Liangdong
collection PubMed
description PURPOSE: Proof‐of‐concept study of mapping renal blood flow vector field according to the inverse solution to a mass transport model of time resolved tracer‐labeled MRI data. THEORY AND METHODS: To determine tissue perfusion according to the underlying physics of spatiotemporal tracer concentration variation, the mass transport equation is integrated over a voxel with an approximate microvascular network for fitting time‐resolved tracer imaging data. The inverse solution to the voxelized transport equation provides the blood flow vector field, which is referred to as quantitative transport mapping (QTM). A numerical microvascular network modeling the kidney with computational fluid dynamics reference was used to verify the accuracy of QTM and the current Kety’s method that uses a global arterial input function. Multiple post‐label delay arterial spin labeling (ASL) of the kidney on seven subjects was used to assess QTM in vivo feasibility. RESULTS: Against the ground truth in the numerical model, the error in flow estimated by QTM (18.6%) was smaller than that in Kety’s method (45.7%, 2.5‐fold reduction). The in vivo kidney perfusion quantification by QTM (cortex: 443 ± 58 mL/100 g/min and medulla: 190 ± 90 mL/100 g/min) was in the range of that by Kety’s method (482 ± 51 mL/100 g/min in the cortex and 242 ± 73 mL/100 g/min in the medulla), and QTM provided better flow homogeneity in the cortex region. CONCLUSIONS: QTM flow velocity mapping is feasible from multi‐delay ASL MRI data based on inverting the transport equation. In a numerical simulation, QTM with deconvolution in space and time provided more accurate perfusion quantification than Kety’s method with deconvolution in time only.
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spelling pubmed-78397912021-02-02 Quantitative transport mapping (QTM) of the kidney with an approximate microvascular network Zhou, Liangdong Zhang, Qihao Spincemaille, Pascal Nguyen, Thanh D. Morgan, John Dai, Weiying Li, Yi Gupta, Ajay Prince, Martin R. Wang, Yi Magn Reson Med Full Papers—Biophysics and Basic Biomedical Research PURPOSE: Proof‐of‐concept study of mapping renal blood flow vector field according to the inverse solution to a mass transport model of time resolved tracer‐labeled MRI data. THEORY AND METHODS: To determine tissue perfusion according to the underlying physics of spatiotemporal tracer concentration variation, the mass transport equation is integrated over a voxel with an approximate microvascular network for fitting time‐resolved tracer imaging data. The inverse solution to the voxelized transport equation provides the blood flow vector field, which is referred to as quantitative transport mapping (QTM). A numerical microvascular network modeling the kidney with computational fluid dynamics reference was used to verify the accuracy of QTM and the current Kety’s method that uses a global arterial input function. Multiple post‐label delay arterial spin labeling (ASL) of the kidney on seven subjects was used to assess QTM in vivo feasibility. RESULTS: Against the ground truth in the numerical model, the error in flow estimated by QTM (18.6%) was smaller than that in Kety’s method (45.7%, 2.5‐fold reduction). The in vivo kidney perfusion quantification by QTM (cortex: 443 ± 58 mL/100 g/min and medulla: 190 ± 90 mL/100 g/min) was in the range of that by Kety’s method (482 ± 51 mL/100 g/min in the cortex and 242 ± 73 mL/100 g/min in the medulla), and QTM provided better flow homogeneity in the cortex region. CONCLUSIONS: QTM flow velocity mapping is feasible from multi‐delay ASL MRI data based on inverting the transport equation. In a numerical simulation, QTM with deconvolution in space and time provided more accurate perfusion quantification than Kety’s method with deconvolution in time only. John Wiley and Sons Inc. 2020-11-18 2021-04 /pmc/articles/PMC7839791/ /pubmed/33210310 http://dx.doi.org/10.1002/mrm.28584 Text en © 2020 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Full Papers—Biophysics and Basic Biomedical Research
Zhou, Liangdong
Zhang, Qihao
Spincemaille, Pascal
Nguyen, Thanh D.
Morgan, John
Dai, Weiying
Li, Yi
Gupta, Ajay
Prince, Martin R.
Wang, Yi
Quantitative transport mapping (QTM) of the kidney with an approximate microvascular network
title Quantitative transport mapping (QTM) of the kidney with an approximate microvascular network
title_full Quantitative transport mapping (QTM) of the kidney with an approximate microvascular network
title_fullStr Quantitative transport mapping (QTM) of the kidney with an approximate microvascular network
title_full_unstemmed Quantitative transport mapping (QTM) of the kidney with an approximate microvascular network
title_short Quantitative transport mapping (QTM) of the kidney with an approximate microvascular network
title_sort quantitative transport mapping (qtm) of the kidney with an approximate microvascular network
topic Full Papers—Biophysics and Basic Biomedical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839791/
https://www.ncbi.nlm.nih.gov/pubmed/33210310
http://dx.doi.org/10.1002/mrm.28584
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