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Three-dimensional multi-parameter brain mapping using MR fingerprinting

The purpose of this study was to develop and test a 3D multi-parameter MR fingerprinting (MRF) method for brain imaging applications. The subject cohort included 5 healthy volunteers, repeatability tests done on 2 healthy volunteers and tested on two multiple sclerosis (MS) patients. A 3D-MRF imagin...

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Autores principales: Menon, Rajiv G., Sharafi, Azadeh, Muccio, Marco, Smith, Tyler, Kister, Ilya, Ge, Yulin, Regatte, Ravinder R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055680/
https://www.ncbi.nlm.nih.gov/pubmed/36993561
http://dx.doi.org/10.21203/rs.3.rs-2675278/v1
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author Menon, Rajiv G.
Sharafi, Azadeh
Muccio, Marco
Smith, Tyler
Kister, Ilya
Ge, Yulin
Regatte, Ravinder R.
author_facet Menon, Rajiv G.
Sharafi, Azadeh
Muccio, Marco
Smith, Tyler
Kister, Ilya
Ge, Yulin
Regatte, Ravinder R.
author_sort Menon, Rajiv G.
collection PubMed
description The purpose of this study was to develop and test a 3D multi-parameter MR fingerprinting (MRF) method for brain imaging applications. The subject cohort included 5 healthy volunteers, repeatability tests done on 2 healthy volunteers and tested on two multiple sclerosis (MS) patients. A 3D-MRF imaging technique capable of quantifying T(1), T(2) and T(1ρ) was used. The imaging sequence was tested in standardized phantoms and 3D-MRF brain imaging with multiple shots (1, 2 and 4) in healthy human volunteers and MS patients. Quantitative parametric maps for T(1), T(2), T(1ρ), were generated. Mean gray matter (GM) and white matter (WM) ROIs were compared for each mapping technique, Bland-Altman plots and intra-class correlation coefficient (ICC) were used to assess repeatability and Student T-tests were used to compare results in MS patients. Standardized phantom studies demonstrated excellent agreement with reference T(1)/T(2/)T(1ρ) mapping techniques. This study demonstrates that the 3D-MRF technique is able to simultaneously quantify T(1), T(2) and T(1ρ) for tissue property characterization in a clinically feasible scan time. This multi-parametric approach offers increased potential to detect and differentiate brain lesions and to better test imaging biomarker hypotheses for several neurological diseases, including MS.
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spelling pubmed-100556802023-03-30 Three-dimensional multi-parameter brain mapping using MR fingerprinting Menon, Rajiv G. Sharafi, Azadeh Muccio, Marco Smith, Tyler Kister, Ilya Ge, Yulin Regatte, Ravinder R. Res Sq Article The purpose of this study was to develop and test a 3D multi-parameter MR fingerprinting (MRF) method for brain imaging applications. The subject cohort included 5 healthy volunteers, repeatability tests done on 2 healthy volunteers and tested on two multiple sclerosis (MS) patients. A 3D-MRF imaging technique capable of quantifying T(1), T(2) and T(1ρ) was used. The imaging sequence was tested in standardized phantoms and 3D-MRF brain imaging with multiple shots (1, 2 and 4) in healthy human volunteers and MS patients. Quantitative parametric maps for T(1), T(2), T(1ρ), were generated. Mean gray matter (GM) and white matter (WM) ROIs were compared for each mapping technique, Bland-Altman plots and intra-class correlation coefficient (ICC) were used to assess repeatability and Student T-tests were used to compare results in MS patients. Standardized phantom studies demonstrated excellent agreement with reference T(1)/T(2/)T(1ρ) mapping techniques. This study demonstrates that the 3D-MRF technique is able to simultaneously quantify T(1), T(2) and T(1ρ) for tissue property characterization in a clinically feasible scan time. This multi-parametric approach offers increased potential to detect and differentiate brain lesions and to better test imaging biomarker hypotheses for several neurological diseases, including MS. American Journal Experts 2023-03-24 /pmc/articles/PMC10055680/ /pubmed/36993561 http://dx.doi.org/10.21203/rs.3.rs-2675278/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Menon, Rajiv G.
Sharafi, Azadeh
Muccio, Marco
Smith, Tyler
Kister, Ilya
Ge, Yulin
Regatte, Ravinder R.
Three-dimensional multi-parameter brain mapping using MR fingerprinting
title Three-dimensional multi-parameter brain mapping using MR fingerprinting
title_full Three-dimensional multi-parameter brain mapping using MR fingerprinting
title_fullStr Three-dimensional multi-parameter brain mapping using MR fingerprinting
title_full_unstemmed Three-dimensional multi-parameter brain mapping using MR fingerprinting
title_short Three-dimensional multi-parameter brain mapping using MR fingerprinting
title_sort three-dimensional multi-parameter brain mapping using mr fingerprinting
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055680/
https://www.ncbi.nlm.nih.gov/pubmed/36993561
http://dx.doi.org/10.21203/rs.3.rs-2675278/v1
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