QSM
QSM maps local tissue magnetic susceptibility within the brain to provide quantitative, reproducible susceptibility maps for research and clinical applications.
Key Features:
- Automated Reconstruction: Automated reconstruction from acquired data via a server capable of exchanging images with the scanner using the DICOM standard.
- Multi-Site, Multi-Vendor Reproducibility: Demonstrated high reproducibility in a multi-site study across nine locations and three scanner manufacturers.
- Resolution Protocols: Supports HiRes (0.5 × 0.5 × 1 mm³) and StdRes (0.5 × 0.5 × 3 mm³) acquisition protocols.
- Reconstruction Efficiency: Uses GPU acceleration with reported reconstruction times of 29 ± 22 seconds for StdRes and 55 ± 39 seconds for HiRes.
Scientific Applications:
- Disease Research: Provides magnetic susceptibility maps for studying various brain diseases with reproducible measures across sites.
- Clinical Translation: Automated reconstruction and integration with scanner workflows support translation of QSM into clinical settings.
Methodology:
Data are acquired using a 3D multi-echo gradient echo sequence; an automated server system processes images and exchanges data with the scanner via DICOM. GPU-accelerated reconstruction yields reported times of 29 ± 22 s (StdRes) and 55 ± 39 s (HiRes). Reproducibility was assessed by ROI analysis across white matter and gray matter with ROI standard deviations below 24 ppb for StdRes and 17 ppb for HiRes and ROI-average correlations of 0.92 (StdRes) and 0.96 (HiRes). A retrospective image-quality review reported 96% of clinical QSM images as diagnostic or excellent.
Topics
Details
- Added:
- 11/14/2019
- Last Updated:
- 1/31/2021
Operations
Publications
Spincemaille P, Liu Z, Zhang S, Kovanlikaya I, Ippoliti M, Makowski M, Watts R, de Rochefort L, Venkatraman V, Desmond P, Santin MD, Lehéricy S, Kopell BH, Péran P, Wang Y. Clinical Integration of Automated Processing for Brain Quantitative Susceptibility Mapping: Multi‐Site Reproducibility and Single‐Site Robustness. Journal of Neuroimaging. 2019;29(6):689-698. doi:10.1111/jon.12658. PMID:31379055. PMCID:PMC6814493.