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Phantom Validation of DCE-MRI Magnitude and Phase-Based Vascular Input Function Measurements

Accurate, patient-specific measurement of arterial input functions (AIF) may improve model-based analysis of vascular permeability. This study investigated factors affecting AIF measurements from magnetic resonance imaging (MRI) magnitude (AIF(MAGN)) and phase (AIF(PHA)) signals, and compared them a...

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Autores principales: Foltz, Warren, Driscoll, Brandon, Laurence Lee, Sangjune, Nayak, Krishna, Nallapareddy, Naren, Fatemi, Ali, Ménard, Cynthia, Coolens, Catherine, Chung, Caroline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403037/
https://www.ncbi.nlm.nih.gov/pubmed/30854445
http://dx.doi.org/10.18383/j.tom.2019.00001
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author Foltz, Warren
Driscoll, Brandon
Laurence Lee, Sangjune
Nayak, Krishna
Nallapareddy, Naren
Fatemi, Ali
Ménard, Cynthia
Coolens, Catherine
Chung, Caroline
author_facet Foltz, Warren
Driscoll, Brandon
Laurence Lee, Sangjune
Nayak, Krishna
Nallapareddy, Naren
Fatemi, Ali
Ménard, Cynthia
Coolens, Catherine
Chung, Caroline
author_sort Foltz, Warren
collection PubMed
description Accurate, patient-specific measurement of arterial input functions (AIF) may improve model-based analysis of vascular permeability. This study investigated factors affecting AIF measurements from magnetic resonance imaging (MRI) magnitude (AIF(MAGN)) and phase (AIF(PHA)) signals, and compared them against computed tomography (CT) (AIF(CT)), under controlled conditions relevant to clinical protocols using a multimodality flow phantom. The flow phantom was applied at flip angles of 20° and 30°, flow rates (3–7.5 mL/s), and peak bolus concentrations (0.5–10 mM), for in-plane and through-plane flow. Spatial 3D-FLASH signal and variable flip angle T1 profiles were measured to investigate in-flow and radiofrequency-related biases, and magnitude- and phase-derived Gd-DTPA concentrations were compared. MRI AIF performance was tested against AIF(CT) via Pearson correlation analysis. AIF(MAGN) was sensitive to imaging orientation, spatial location, flip angle, and flow rate, and it grossly underestimated AIF(CT) peak concentrations. Conversion to Gd-DTPA concentration using T1 taken at the same orientation and flow rate as the dynamic contrast-enhanced acquisition improved AIF(MAGN) accuracy; yet, AIF(MAGN) metrics remained variable and significantly reduced from AIF(CT) at concentrations above 2.5 mM. AIF(PHA) performed equivalently within 1 mM to AIF(CT) across all tested conditions. AIF(PHA), but not AIF(MAGN), reported equivalent measurements to AIF(CT) across the range of tested conditions. AIF(PHA) showed superior robustness.
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spelling pubmed-64030372019-03-08 Phantom Validation of DCE-MRI Magnitude and Phase-Based Vascular Input Function Measurements Foltz, Warren Driscoll, Brandon Laurence Lee, Sangjune Nayak, Krishna Nallapareddy, Naren Fatemi, Ali Ménard, Cynthia Coolens, Catherine Chung, Caroline Tomography Research Articles Accurate, patient-specific measurement of arterial input functions (AIF) may improve model-based analysis of vascular permeability. This study investigated factors affecting AIF measurements from magnetic resonance imaging (MRI) magnitude (AIF(MAGN)) and phase (AIF(PHA)) signals, and compared them against computed tomography (CT) (AIF(CT)), under controlled conditions relevant to clinical protocols using a multimodality flow phantom. The flow phantom was applied at flip angles of 20° and 30°, flow rates (3–7.5 mL/s), and peak bolus concentrations (0.5–10 mM), for in-plane and through-plane flow. Spatial 3D-FLASH signal and variable flip angle T1 profiles were measured to investigate in-flow and radiofrequency-related biases, and magnitude- and phase-derived Gd-DTPA concentrations were compared. MRI AIF performance was tested against AIF(CT) via Pearson correlation analysis. AIF(MAGN) was sensitive to imaging orientation, spatial location, flip angle, and flow rate, and it grossly underestimated AIF(CT) peak concentrations. Conversion to Gd-DTPA concentration using T1 taken at the same orientation and flow rate as the dynamic contrast-enhanced acquisition improved AIF(MAGN) accuracy; yet, AIF(MAGN) metrics remained variable and significantly reduced from AIF(CT) at concentrations above 2.5 mM. AIF(PHA) performed equivalently within 1 mM to AIF(CT) across all tested conditions. AIF(PHA), but not AIF(MAGN), reported equivalent measurements to AIF(CT) across the range of tested conditions. AIF(PHA) showed superior robustness. Grapho Publications, LLC 2019-03 /pmc/articles/PMC6403037/ /pubmed/30854445 http://dx.doi.org/10.18383/j.tom.2019.00001 Text en © 2019 The Authors. Published by Grapho Publications, LLC http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Articles
Foltz, Warren
Driscoll, Brandon
Laurence Lee, Sangjune
Nayak, Krishna
Nallapareddy, Naren
Fatemi, Ali
Ménard, Cynthia
Coolens, Catherine
Chung, Caroline
Phantom Validation of DCE-MRI Magnitude and Phase-Based Vascular Input Function Measurements
title Phantom Validation of DCE-MRI Magnitude and Phase-Based Vascular Input Function Measurements
title_full Phantom Validation of DCE-MRI Magnitude and Phase-Based Vascular Input Function Measurements
title_fullStr Phantom Validation of DCE-MRI Magnitude and Phase-Based Vascular Input Function Measurements
title_full_unstemmed Phantom Validation of DCE-MRI Magnitude and Phase-Based Vascular Input Function Measurements
title_short Phantom Validation of DCE-MRI Magnitude and Phase-Based Vascular Input Function Measurements
title_sort phantom validation of dce-mri magnitude and phase-based vascular input function measurements
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403037/
https://www.ncbi.nlm.nih.gov/pubmed/30854445
http://dx.doi.org/10.18383/j.tom.2019.00001
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