Pre-CAT: A web-based, graphical user-interface toolbox for preclinical CEST-MRI data processing and analysis
Jonah Weigand-Whittier, Samuel Rubin, Cindy Ayala, Mark Velasquez, Nikita Vladimirov, Hadas Avraham, Or Perlman, M. Roselle Abraham, Moriel H. Vandsburger

TL;DR
Pre-CAT is an open-source, web-based GUI toolbox developed in Python to standardize and simplify preclinical CEST-MRI data analysis across various acquisition types and contrast mechanisms.
Contribution
It introduces a modular, user-friendly platform supporting multiple CEST-MRI protocols, promoting collaboration and reducing redundancy in preclinical research.
Findings
Demonstrated analysis pipelines for Z-spectroscopy, CEST-MRF, and quantitative CEST.
Pre-CAT can be used online or locally, completing analysis in about one minute.
Aims to standardize and foster collaboration in preclinical CEST-MRI data analysis.
Abstract
Purpose: As interest in CEST-MRI grows, particularly in the preclinical setting, the necessity for standardized and easy-to-use acquisition and data analysis pipelines has become apparent. While vendors have increasingly introduced support for CEST acquisitions on both clinical and preclinical hardware, image post-processing and analysis pipelines remain siloed based on privately developed code. We aim to develop an easy-to-use, open-source graphical user interface toolbox for preclinical CEST-MRI data analysis (Preclinical CEST-MRI Analysis Tool; Pre-CAT), supporting multiple acquisition types, organ systems, and CEST contrast mechanisms. Methods: Pre-CAT was developed in Python and utilizes the Numpy, Scipy, and Matplotlib libraries for data analysis and plotting. Inbuilt data processing steps include image loading, reconstruction, post-processing, and segmentation. Pre-CAT also…
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