Cargando…

Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging

OBJECTIVE: This study aimed to investigate the reliability of intravoxel incoherent motion (IVIM) model derived parameters D and f and their dependence on b value distributions with a rapid three b value acquisition protocol. MATERIALS AND METHODS: Diffusion models for brain, kidney, and liver were...

Descripción completa

Detalles Bibliográficos
Autores principales: Meeus, Emma M., Novak, Jan, Dehghani, Hamid, Peet, Andrew C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871652/
https://www.ncbi.nlm.nih.gov/pubmed/29075909
http://dx.doi.org/10.1007/s10334-017-0656-6
_version_ 1783309669038555136
author Meeus, Emma M.
Novak, Jan
Dehghani, Hamid
Peet, Andrew C.
author_facet Meeus, Emma M.
Novak, Jan
Dehghani, Hamid
Peet, Andrew C.
author_sort Meeus, Emma M.
collection PubMed
description OBJECTIVE: This study aimed to investigate the reliability of intravoxel incoherent motion (IVIM) model derived parameters D and f and their dependence on b value distributions with a rapid three b value acquisition protocol. MATERIALS AND METHODS: Diffusion models for brain, kidney, and liver were assessed for bias, error, and reproducibility for the estimated IVIM parameters using b values 0 and 1000, and a b value between 200 and 900, at signal-to-noise ratios (SNR) 40, 55, and 80. Relative errors were used to estimate optimal b value distributions for each tissue scenario. Sixteen volunteers underwent brain DW-MRI, for which bias and coefficient of variation were determined in the grey matter. RESULTS: Bias had a large influence in the estimation of D and f for the low-perfused brain model, particularly at lower b values, with the same trends being confirmed by in vivo imaging. Significant differences were demonstrated in vivo for estimation of D (P = 0.029) and f (P < 0.001) with [300,1000] and [500,1000] distributions. The effect of bias was considerably lower for the high-perfused models. The optimal b value distributions were estimated to be brain(500,1000), kidney(300,1000), and liver(200,1000). CONCLUSION: IVIM parameters can be estimated using a rapid DW-MRI protocol, where the optimal b value distribution depends on tissue characteristics and compromise between bias and variability.
format Online
Article
Text
id pubmed-5871652
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-58716522018-03-28 Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging Meeus, Emma M. Novak, Jan Dehghani, Hamid Peet, Andrew C. MAGMA Research Article OBJECTIVE: This study aimed to investigate the reliability of intravoxel incoherent motion (IVIM) model derived parameters D and f and their dependence on b value distributions with a rapid three b value acquisition protocol. MATERIALS AND METHODS: Diffusion models for brain, kidney, and liver were assessed for bias, error, and reproducibility for the estimated IVIM parameters using b values 0 and 1000, and a b value between 200 and 900, at signal-to-noise ratios (SNR) 40, 55, and 80. Relative errors were used to estimate optimal b value distributions for each tissue scenario. Sixteen volunteers underwent brain DW-MRI, for which bias and coefficient of variation were determined in the grey matter. RESULTS: Bias had a large influence in the estimation of D and f for the low-perfused brain model, particularly at lower b values, with the same trends being confirmed by in vivo imaging. Significant differences were demonstrated in vivo for estimation of D (P = 0.029) and f (P < 0.001) with [300,1000] and [500,1000] distributions. The effect of bias was considerably lower for the high-perfused models. The optimal b value distributions were estimated to be brain(500,1000), kidney(300,1000), and liver(200,1000). CONCLUSION: IVIM parameters can be estimated using a rapid DW-MRI protocol, where the optimal b value distribution depends on tissue characteristics and compromise between bias and variability. Springer Berlin Heidelberg 2017-10-26 2018 /pmc/articles/PMC5871652/ /pubmed/29075909 http://dx.doi.org/10.1007/s10334-017-0656-6 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Article
Meeus, Emma M.
Novak, Jan
Dehghani, Hamid
Peet, Andrew C.
Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging
title Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging
title_full Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging
title_fullStr Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging
title_full_unstemmed Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging
title_short Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging
title_sort rapid measurement of intravoxel incoherent motion (ivim) derived perfusion fraction for clinical magnetic resonance imaging
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871652/
https://www.ncbi.nlm.nih.gov/pubmed/29075909
http://dx.doi.org/10.1007/s10334-017-0656-6
work_keys_str_mv AT meeusemmam rapidmeasurementofintravoxelincoherentmotionivimderivedperfusionfractionforclinicalmagneticresonanceimaging
AT novakjan rapidmeasurementofintravoxelincoherentmotionivimderivedperfusionfractionforclinicalmagneticresonanceimaging
AT dehghanihamid rapidmeasurementofintravoxelincoherentmotionivimderivedperfusionfractionforclinicalmagneticresonanceimaging
AT peetandrewc rapidmeasurementofintravoxelincoherentmotionivimderivedperfusionfractionforclinicalmagneticresonanceimaging