QSM reconstruction challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures

Purpose To create a realistic in silico head phantom for the second QSM reconstruction challenge and for future evaluations of processing algorithms for QSM. Methods We created a digital whole‐head tissue property phantom by segmenting and postprocessing high‐resolution (0.64 mm isotropic), multipar...

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Vydáno v:Magnetic resonance in medicine Ročník 86; číslo 1; s. 526 - 542
Hlavní autoři: Marques, José P., Meineke, Jakob, Milovic, Carlos, Bilgic, Berkin, Chan, Kwok‐Shing, Hedouin, Renaud, Zwaag, Wietske, Langkammer, Christian, Schweser, Ferdinand
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Wiley Subscription Services, Inc 01.07.2021
Wiley
John Wiley and Sons Inc
Témata:
Algorithms
Brain - diagnostic imaging
Cartesian coordinates
Cognitive science
Computer programs
Computer Science
Computer Simulation
Data acquisition
Data simulation
Evaluation
Full Papers—Computer Processing and Modeling
Ground truth
Head - diagnostic imaging
Humans
Image Processing, Computer-Assisted
in silico head phantom
Life Sciences
Magnetic Resonance Imaging
Medical Imaging
MRI simulations
Neuroimaging
Neuroscience
Phantoms, Imaging
Quantitative Methods
quantitative susceptibility mapping
Reconstruction
Simulation
Software
Spatial variations
in silico head phantom
quantitative susceptibility mapping
MRI simulations
ISSN:0740-3194, 1522-2594, 1522-2594
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Popis
Shrnutí:Purpose To create a realistic in silico head phantom for the second QSM reconstruction challenge and for future evaluations of processing algorithms for QSM. Methods We created a digital whole‐head tissue property phantom by segmenting and postprocessing high‐resolution (0.64 mm isotropic), multiparametric MRI data acquired at 7 T from a healthy volunteer. We simulated the steady‐state magnetization at 7 T using a Bloch simulator and mimicked a Cartesian sampling scheme through Fourier‐based processing. Computer code for generating the phantom and performing the MR simulation was designed to facilitate flexible modifications of the phantom in the future, such as the inclusion of pathologies as well as the simulation of a wide range of acquisition protocols. Specifically, the following parameters and effects were implemented: TR and TE, voxel size, background fields, and RF phase biases. Diffusion‐weighted imaging phantom data are provided, allowing future investigations of tissue‐microstructure effects in phase and QSM algorithms. Results The brain part of the phantom featured realistic morphology with spatial variations in relaxation and susceptibility values similar to the in vivo setting. We demonstrated some of the phantom’s properties, including the possibility of generating phase data with nonlinear evolution over TE due to partial‐volume effects or complex distributions of frequency shifts within the voxel. Conclusion The presented phantom and computer programs are publicly available and may serve as a ground truth in future assessments of the faithfulness of quantitative susceptibility reconstruction algorithms.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0740-3194
1522-2594
1522-2594
DOI:10.1002/mrm.28716