SIPAS: A comprehensive susceptibility imaging process and analysis studio

•Develops software for quantitative susceptibility mapping from MRI phase images.•Implements image reconstruction, region delineation, and standardized evaluation.•Visualizes results in several slice views and 3D rendering.•Realizes reliable reconstruction by various algorithm combinations.•Validate...

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Veröffentlicht in:NeuroImage (Orlando, Fla.) Fla.), 2024-08, Vol.297, p.120697, Article 120697
Hauptverfasser: Qiu, Lichu, Zhao, Zijun, Bao, Lijun
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Sprache:eng
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Zusammenfassung:•Develops software for quantitative susceptibility mapping from MRI phase images.•Implements image reconstruction, region delineation, and standardized evaluation.•Visualizes results in several slice views and 3D rendering.•Realizes reliable reconstruction by various algorithm combinations.•Validates on 3 Tesla, 5 Tesla, and 7 Tesla datasets from different manufacturers. Quantitative susceptibility mapping (QSM) is a rising MRI-based technology and quite a few QSM-related algorithms have been proposed to reconstruct maps of tissue susceptibility distribution from phase images. In this paper, we develop a comprehensive susceptibility imaging process and analysis studio (SIPAS) that can accomplish reliable QSM processing and offer a standardized evaluation system. Specifically, SIPAS integrates multiple methods for each step, enabling users to select algorithm combinations according to data conditions, and QSM maps could be evaluated by two aspects, including image quality indicators within all voxels and region-of-interest (ROI) analysis. Through a sophisticated design of user-friendly interfaces, the results of each procedure are able to be exhibited in axial, coronal, and sagittal views in real-time, meanwhile ROIs can be displayed in 3D rendering visualization. The accuracy and compatibility of SIPAS are demonstrated by experiments on multiple in vivo human brain datasets acquired from 3T, 5T, and 7T MRI scanners of different manufacturers. We also validate the QSM maps obtained by various algorithm combinations in SIPAS, among which the combination of iRSHARP and SFCR achieves the best results on its evaluation system. SIPAS is a comprehensive, sophisticated, and reliable toolkit that may prompt the QSM application in scientific research and clinical practice. [Display omitted]
ISSN:1053-8119
1095-9572
1095-9572
DOI:10.1016/j.neuroimage.2024.120697