Repeatability and reproducibility of human brain morphometry using three‐dimensional magnetic resonance fingerprinting

Fujita, Shohei; Buonincontri, Guido; Cencini, Matteo; Fukunaga, Issei; Takei, Naoyuki; Schulte, Rolf F.; Hagiwara, Akifumi; Uchida, Wataru; Hori, Masaaki; Kamagata, Koji; Abe, Osamu; Aoki, Shigeki

doi:10.1002/hbm.25232

Cited by 17 publications

(15 citation statements)

References 53 publications

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“…Due to the observed inter-subject consistency and stability of T1 and T2 values of healthy and diseased tissue, which is in line with previously performed repeatability studies [ 32 , 58 , 59 ], we believe that not only diagnosis but also treatment planning and monitoring as well as prognostic, longitudinal assessment might benefit from an integration of 3D QTI into standard clinical imaging.…”

Section: Discussionsupporting

confidence: 84%

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

et al. 2021

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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.

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Section: Discussionsupporting

confidence: 84%

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

et al. 2021

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“…In the opposite direction, repeatability of pulse sequence results across different scans and different patients could be addressed by large scale in vivo studies. Such repeatability is an especially important feature for monitoring disease progression or age related tissue changes [7,9,8] and helps to fulfil the promise of quantitative MR scanning for objective clinical diagnostic criteria [8,47]. Acknowledgments: This work was partially supported by Siemens Healthineers and by the National Institutes of Health through grants NIH R21EB026764-01 and NIH R01NS109439-01.…”

Section: Discussionmentioning

confidence: 99%

Automated Design of Pulse Sequences for Magnetic Resonance Fingerprinting using Physics-Inspired Optimization

Jordan,

Hu,

Rozada

et al. 2021

Preprint

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Magnetic Resonance Fingerprinting (MRF) is a method to extract quantitative tissue properties such as T 1 and T 2 relaxation rates from arbitrary pulse sequences using conventional magnetic resonance imaging hardware. MRF pulse sequences have thousands of tunable parameters which can be chosen to maximize precision and minimize scan time. Here we perform de novo automated design of MRF pulse sequences by applying physics-inspired optimization heuristics. Our experimental data suggests systematic errors dominate over random errors in MRF scans under clinically-relevant conditions of high undersampling. Thus, in contrast to prior optimization efforts, which focused on statistical error models, we use a cost function based on explicit first-principles simulation of systematic errors arising from Fourier undersampling and phase variation. The resulting pulse sequences display features qualitatively different from previously used MRF pulse sequences and achieve fourfold shorter scan time than prior human-designed sequences of equivalent precision in T 1 and T 2 . Furthermore, the optimization algorithm has discovered the existence of MRF pulse sequences with intrinsic robustness against shading artifacts due to phase variation. SignificanceMagnetic resonance is a widely used non-invasive medical imaging technology. Most clinical magnetic resonance imaging scans generate qualitative or 'weighted' images. A recent new technology, Magnetic Resonance Fingerprinting [1], simultaneously extracts quantitative voxel-by-voxel measurements of multiple intrinsic tissue properties such as T 1 and T 2 relaxation rates in a single scan, * The work of H. G. K. was performed before joining Amazon Web Services.

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“…Fast multi-parametric mapping methods, such as synthetic MR and MR fingerprinting, provide easier access to quantitative measurements. 80 , 81 …”

Section: Image Contrast and Quantitative Imagingmentioning

confidence: 99%

MR Imaging in the 21st Century: Technical Innovation over the First Two Decades

Kabasawa

2022

MRMS

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Clinical MRI systems have continually improved over the years since their introduction in the 1980s. In MRI technical development, the developments in each MRI system component, including data acquisition, image reconstruction, and hardware systems, have impacted the others. Progress in each component has induced new technology development opportunities in other components. New technologies outside of the MRI field, for example, computer science, data processing, and semiconductors, have been immediately incorporated into MRI development, which resulted in innovative applications. With high performance computing and MR technology innovations, MRI can now provide large volumes of functional and anatomical image datasets, which are important tools in various research fields. MRI systems are now combined with other modalities, such as positron emission tomography (PET) or therapeutic devices. These hybrid systems provide additional capabilities. In this review, MRI advances in the last two decades will be considered. We will discuss the progress of MRI systems, the enabling technology, established applications, current trends, and the future outlook.

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Repeatability and reproducibility of human brain morphometry using three‐dimensional magnetic resonance fingerprinting

Cited by 17 publications

References 53 publications

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

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

Automated Design of Pulse Sequences for Magnetic Resonance Fingerprinting using Physics-Inspired Optimization

MR Imaging in the 21st Century: Technical Innovation over the First Two Decades

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