XNAT-PIC
XNAT-PIC extends XNAT to manage, store, and process large multimodal preclinical imaging datasets produced by molecular imaging modalities for preclinical research.
Key Features:
- Expansion of Core Functionalities: Extends XNAT's clinical-oriented capabilities with tools and pipelines tailored for preclinical imaging and large multimodal datasets.
- Data Management and Distribution: Provides standardized storage, importation, and secure distribution for raw and processed data from various imaging machinery and modalities.
- Enhanced Reproducibility: Implements standardized tools and pipelines to ensure consistent processing and handling of image datasets across studies.
- Promotion of Open Science Practices: Enables secure hosting and sharing of preclinical imaging datasets to support data exchange and collaboration within the research community.
Scientific Applications:
- Standardization of Data Handling: Standardizes importation and processing workflows for large preclinical imaging datasets across studies and institutions.
- Facilitation of Multimodal Imaging Studies: Supports management and combined analysis of multimodal imaging data in preclinical investigations.
- Enhanced Collaboration and Data Sharing: Supports secure data hosting and distribution to facilitate collaboration and dissemination within preclinical imaging research.
Methodology:
Integrates new tools and standardized pipelines into XNAT's infrastructure to support importation and processing of large multimodal preclinical imaging datasets from various imaging modalities.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- Python, MATLAB
- Added:
- 6/28/2022
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Publications
Zullino S, Paglialonga A, Dastrù W, Longo DL, Aime S. XNAT-PIC: Extending XNAT to Preclinical Imaging Centers. Journal of Digital Imaging. 2022;35(4):860-875. doi:10.1007/s10278-022-00612-z. PMID:35304674. PMCID:PMC9485318.