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

Conversion

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.

PMID: 35304674
PMCID: PMC9485318
Funding: - H2020 Health: 654248, 667510, 824087

Links