Preclinical researchers use the PIXI platform to manage workflows, harmonize imaging databases, and enable deployment of analytic and computational pipelines in preclinical imaging.
Preclinical imaging is becoming increasingly important to cancer research and other disease research, with the development and adoption of Patient-Derived Xenographs (PDXs) and Genetically Engineered Mouse Models (GEMMs) into research workflows. With this importance comes a renewed emphasis on reproducible research.
However, reproducibility is difficult to achieve with the proliferation of imaging platforms, differences in imaging formats and protocols, differences in animal models, and variability in analytic pipelines. At the core of this problem of reproducibility is the lack of a common computing platform built on standards and best practices.
Enter the Preclinical Imaging XNAT-enabled Informatics (PIXI) platform. PIXI is based on XNAT, the most widely-adopted open-source imaging research software platform in the world.
The development of PIXI is supported by the Information Technology for Cancer Research (ITCR) program of the National Cancer Institute (NCI) grant #U24CA253531 (MPIs: Kooresh I. Shoghi, PhD, Daniel S. Marcus, PhD).
PIXI is a free and open-source plugin for XNAT which provides robust support for storing, organizing and managing DICOM image data including PET, CT, MRI, SPECT, and more.
PIXI extends XNAT's data organization and metadata capabilities to support preclinical research workflows with new data types and metadata fields for small animal subjects and experiments (including drug therapies, caliper measurements, and more).
PIXI supports searching and reporting of preclinical data and metadata in addition to the standard XNAT search and reporting features.
Batch data entry forms with Excel-like functionality have been developed for efficient and streamlined data entry in PIXI.
Integrated containerized workflow for splitting hotel image data into individual subjects.
Use the XNAT-OHIF Viewer to view and annotate your preclinical imaging data.
New updates to OHIF to support preclinical 4D PET/CT workflows.
Use XNAT's Container Service to run processing pipelines in Docker containers on your preclinical data.
Integrated Jupyter Notebook environment for interactive data analysis and visualization.
Integrated web-based MATLAB environment for interactive data analysis and visualization. (Requires MATLAB license)
If you have any questions about PIXI, please feel free to contact us.
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