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Abstract #2856

Hunting the perfect spline: Baseline handling for accurate macromolecule estimation and metabolite quantification by in vivo 1H MRS

Kelley M. Swanberg1, Karl Landheer1, Martin Gajdosik1, Michael Treacy1, and Christoph Juchem1,2
1Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, NY, United States, 2Radiology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States

It has been previously established that inappropriately modeled spectral baselines can confound metabolite concentration estimates by in vivo 1H MRS even while contributing to visually reasonable fits. The systematic optimization of spectral quantification pipelines, including baseline modeling, continues nonetheless to be impeded by an under-utilization of validation methods both physically meaningful and involving perfect prior knowledge. Here we address the extant need for evidence-based spectral baseline handling by combining the practical utility of in vivo data with the prior knowledge enabled by simulated standards. We use this paradigm to compare various baseline models for macromolecule characterization and metabolite quantification accuracy.

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