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Abstract #0595

Automatic, Online Reconstruction of Advanced Single Voxel and Spectroscopic Imaging Sequences

Peter Truong1, Kelvin Chow2, Lumeng Cui3, Lubna Burki1,4, Jason Rock1,4, Sinyeob Ahn5, and Jamie Near1,4
1Physical Sciences Platform, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada, 2Siemens Healthcare Ltd, Calgary, AB, Canada, 3Siemens Healthcare Ltd, Burnaby, BC, Canada, 4Medical Biophysics, University of Toronto, Toronto, ON, Canada, 5Siemens Healthineers, Malvern, PA, United States

Synopsis

Keywords: Spectroscopy, Software Tools, Spectroscopy, Online Reconstruction, Visualization

Motivation: MRS and MRSI provide valuable insight into cellular metabolism, however conventional offline data processing and analysis presents a significant practical barrier to widespread adoption.

Goal(s): We propose a complete inline MRS and MRSI processing and analysis workflow, using Siemens FIRE to run advanced reconstruction on SVS and non-cartesian MRSI sequences.

Approach: We adapted our FID-A and LCModel pipelines for MEGA-PRESS, SPECIAL, and Rosette MRSI to be used on the scanner. Processed and quantitative data are converted to DICOM format.

Results: Processed spectra and LCModel results are viewable on the scanner. All results are saved and can be brought offline for future use.

Impact: We demonstrate the benefit of automatic reconstruction and analysis pipelines for spectroscopy, integrated on-scanner with FIRE. The proposed framework benefits collaborative work as complete containerized environments for processing and analysis can be shared between research sites.

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Keywords