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Abstract #3116

Benchmarking a clinical analysis software tool for SAGE based DSC MRI

Poonam Choudhary1, Natenael B Semmineh2, Todd Jensen3, Timothy Dondlinger4, Ashley M Stokes1, and C. Chad Quarles2
1Barrow Neurological Institute, Phoenix, AZ, United States, 2The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 3Jensen Informatics, LLC, Milwaukee, WI, United States, 4Imaging Biometrics, LLC, Milwaukee, WI, United States

Synopsis

Keywords: Software Tools, Data Processing, analysis tools

Motivation: To benchmark multi-echo based DSC-MRI SAGE sequence, a compelling alternative to single echo acquisition analysis tool that is targeted for clinical translation.

Goal(s): Comparison of rCBV values derived from the two software (IB Neuro X2, in-house algorithm).

Approach: We expanded a single-echo DSC-MRI brain tumor digital reference object (DRO) into an anthropomorphic phantom that recapitulates clinical DSC-MRI data structure and anatomy.

Results: The rCBV values obtained from both softwares are strongly correlated.

Impact: This study would potentially deliver a robust and reproducible post-processing tool for multi-site, multi-vendor SAGE-based DSC-MRI that can be used for clinical trials.

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