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Abstract #2985

1H-MRS VERI: The Proton Magnetic Resonance Spectroscopy Validation Effort Resource Initiative

Kelley M. Swanberg1,2,3, Helge Zöllner3,4, John T. LaMaster3,5, Antonia Kaiser3,6, Jamie Near3,7, Candace Fleischer3,8, Georg Oeltzschner3,4, and Christoph Juchem2,9
1Faculty of Medicine, Lund University, Lund, Skåne, Sweden, 2Department of Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, NY, United States, 3International Society for Magnetic Resonance in Medicine Magnetic Resonance Spectroscopy Study Group Code and Data Sharing Committee, Concord, CA, United States, 4Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 5Faculty of Computer Science, Technische Universität München, München, Germany, 6Animal Imaging and Technology Core, Center for Biomedical Imaging, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 7Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 8Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, 9Department of Radiology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States

Synopsis

Keywords: Data Processing, Spectroscopy, Reproducible Research

Motivation: Many details of in vivo proton magnetic resonance spectroscopy (1H MRS) data analysis still lack evidence-based standards.

Goal(s): The 1H-MRS Validation Effort Resource Initiative (1H-MRS VERI) is a public repository for sharing spectral datasets useful for formulating such standards.

Approach: 1H-MRS VERI data sets include measurements from phantoms (VERIph), spectral simulations of predefined metabolite scaling, including simulated and/or measured in-vivo-like nuisance signals (VERIsim), and 1H-MRS acquisitions from human or other tissues colocalized with supporting measurements from non-1H-MRS experiments (VERIvivo).

Results: 1H-MRS VERI facilitates field-wide efforts toward accurate and precise in vivo 1H-MRS quantification via transparent, replicable investigation of shared empirical standards.

Impact: 1H-MRS research marches on, largely uninformed by commonly accepted evidence-based guidelines for many data analysis details from denoising methods to baseline definitions. 1H-MRS VERI provides a curated collection of data standards to facilitate the shared development of these still-needed guidelines.

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Abstract

Keywords