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Abstract #3269

On-scanner Reconstruction for Susceptibility Source Separation

Nashwan Naji1, Justin Grenier1, Jeff Snyder1, Kelvin Chow2, Lumeng Cui3, Gerald R. Moran4, and Alan Wilman1,5
1Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, Canada, 2Siemens Healthineers, Calgary, AB, Canada, 3Siemens Healthineers, Burnaby, BC, Canada, 4Siemens Healthineers, Oakville, ON, Canada, 5Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada

Synopsis

Keywords: Susceptibility/QSM, Susceptibility, Susceptibility separation, inline reconstruction, on-scanner

Motivation: Susceptibility source separation provides valuable quantification of iron and myelin but currently requires offline analysis. Enabling an on-scanner fast and automated reconstruction would enable wider adoption.

Goal(s): To implement and validate an inline reconstruction for susceptibility source separation on scanners.

Approach: Susceptibility separation was packaged into a containerized environment and integrated inline using a vendor prototype for inline image processing on existing scanner hardware. The implemented pipeline produced paramagnetic and diamagnetic maps based on multi-echo R2*- and R2-sensitive acquisitions or R2* alone.

Results: Separated susceptibility maps were successfully generated on a 3 T scanner and saved as DICOM images.

Impact: The implemented reconstruction tool enables producing para- and diamagnetic maps directly on the manufacturer’s scanners without the need for offline processing.

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