Fast Multi-parametric Acquisition Methods for Quantitative Brain MRI

Laura Nuñez Gonzalez

Fast Multi-parametric Acquisition Methods for Quantitative Brain MRI

Laura Nuñez Gonzalez

Radiology & Nuclear Medicine

Research output: Types of Thesis › Doctoral Thesis › Internal

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Abstract

The aim of this thesis is to gain insight into fast multi-parametric quantitative MR techniques, such as MRFingerprinting and QRAPMASTER, and bring them closer to the clinical routine by evaluating their performance in phantom, healthy volunteers, and glioma patients.

Furthermore, we contribute to the field with two innovations. The first innovation consists of using MR-Fingerprinting highly undersampled acquisitions to depict multiple components within a voxel (tissue-fraction-maps). The second innovation is a new sequence (patented by us), based on the transient response, to obtain intrinsic (PD, T1 and T2) and extrinsic parameters (B0, B1+).

Original language	English
Awarding Institution	Erasmus University Rotterdam
Supervisors/Advisors	Hernandez Tamames, Juan, Supervisor Poot, Dirk, Co-supervisor Kotek, Gyula, Co-supervisor
Award date	12 Apr 2022
Place of Publication	Rotterdam
Publication status	Published - 12 Apr 2022

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final dissertation GonzalezFinal published version, 36.2 MBLicence: Unspecified
embargo version GonzalezOther version, 20.7 MBLicence: Unspecified

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title = "Fast Multi-parametric Acquisition Methods for Quantitative Brain MRI",

abstract = "The aim of this thesis is to gain insight into fast multi-parametric quantitative MR techniques, such as MRFingerprinting and QRAPMASTER, and bring them closer to the clinical routine by evaluating their performance in phantom, healthy volunteers, and glioma patients.Furthermore, we contribute to the field with two innovations. The first innovation consists of using MR-Fingerprinting highly undersampled acquisitions to depict multiple components within a voxel (tissue-fraction-maps). The second innovation is a new sequence (patented by us), based on the transient response, to obtain intrinsic (PD, T1 and T2) and extrinsic parameters (B0, B1+).",

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N2 - The aim of this thesis is to gain insight into fast multi-parametric quantitative MR techniques, such as MRFingerprinting and QRAPMASTER, and bring them closer to the clinical routine by evaluating their performance in phantom, healthy volunteers, and glioma patients.Furthermore, we contribute to the field with two innovations. The first innovation consists of using MR-Fingerprinting highly undersampled acquisitions to depict multiple components within a voxel (tissue-fraction-maps). The second innovation is a new sequence (patented by us), based on the transient response, to obtain intrinsic (PD, T1 and T2) and extrinsic parameters (B0, B1+).

AB - The aim of this thesis is to gain insight into fast multi-parametric quantitative MR techniques, such as MRFingerprinting and QRAPMASTER, and bring them closer to the clinical routine by evaluating their performance in phantom, healthy volunteers, and glioma patients.Furthermore, we contribute to the field with two innovations. The first innovation consists of using MR-Fingerprinting highly undersampled acquisitions to depict multiple components within a voxel (tissue-fraction-maps). The second innovation is a new sequence (patented by us), based on the transient response, to obtain intrinsic (PD, T1 and T2) and extrinsic parameters (B0, B1+).

M3 - Doctoral Thesis

CY - Rotterdam

ER -

Fast Multi-parametric Acquisition Methods for Quantitative Brain MRI

Abstract

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