Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging

Autor: Florian Kofler, Carolin M. Pirkl, Marion Smits, Bjoern H. Menze, Matteo Cencini, Sebastian Endt, Mohammad Golbabaee, Marion I. Menzel, Guido Buonincontri, Rolf F. Schulte, Benedikt Wiestler, Lioba Grundl, Pedro A. Gómez, Laura Nunez-Gonzalez, Juan Antonio Hernández-Tamames
Přispěvatelé: Radiology & Nuclear Medicine, University of Zurich, Pirkl, Carolin M
Rok vydání: 2021
Předmět:
Clinical Neurology
Brain tumor
610 Medicine & health
Iterative reconstruction
Fluid-attenuated inversion recovery
2705 Cardiology and Cardiovascular Medicine
030218 nuclear medicine & medical imaging
White matter
03 medical and health sciences
0302 clinical medicine
Imaging
Three-Dimensional
Glioma
medicine
2741 Radiology
Nuclear Medicine and Imaging
Humans
Image-based biomarkers
Radiology
Nuclear Medicine and imaging
Proton density
Neuroradiology
Diagnostic Neuroradiology
business.industry
Multiparametric imaging
Brain
medicine.disease
Mr imaging
Magnetic Resonance Imaging
ddc
Glioma imaging
2728 Neurology (clinical)
medicine.anatomical_structure
Radiology Nuclear Medicine and imaging
Feasibility Studies
Neurology (clinical)
Protons
Cardiology and Cardiovascular Medicine
business
Nuclear medicine
11493 Department of Quantitative Biomedicine
030217 neurology & neurosurgery
Neural networks
MRI
Zdroj: Neuroradiology
Neuroradiology, 63(11), 1831-1851. Springer-Verlag
Diagnostic Neuroradiology
ISSN: 1432-1920
0028-3940
Popis: Purpose Advanced MRI-based biomarkers offer comprehensive and quantitative information for the evaluation and characterization of brain tumors. In this study, we report initial clinical experience in routine glioma imaging with a novel, fully 3D multiparametric quantitative transient-state imaging (QTI) method for tissue characterization based on T1 and T2 values. Methods To demonstrate the viability of the proposed 3D QTI technique, nine glioma patients (grade II–IV), with a variety of disease states and treatment histories, were included in this study. First, we investigated the feasibility of 3D QTI (6:25 min scan time) for its use in clinical routine imaging, focusing on image reconstruction, parameter estimation, and contrast-weighted image synthesis. Second, for an initial assessment of 3D QTI-based quantitative MR biomarkers, we performed a ROI-based analysis to characterize T1 and T2 components in tumor and peritumoral tissue. Results The 3D acquisition combined with a compressed sensing reconstruction and neural network-based parameter inference produced parametric maps with high isotropic resolution (1.125 × 1.125 × 1.125 mm3 voxel size) and whole-brain coverage (22.5 × 22.5 × 22.5 cm3 FOV), enabling the synthesis of clinically relevant T1-weighted, T2-weighted, and FLAIR contrasts without any extra scan time. Our study revealed increased T1 and T2 values in tumor and peritumoral regions compared to contralateral white matter, good agreement with healthy volunteer data, and high inter-subject consistency. Conclusion 3D QTI demonstrated comprehensive tissue assessment of tumor substructures captured in T1 and T2 parameters. Aiming for fast acquisition of quantitative MR biomarkers, 3D QTI has potential to improve disease characterization in brain tumor patients under tight clinical time-constraints.
Databáze: OpenAIRE
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