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Releases: aboodbdaiwi/XIPline

Alpha Release V1.1.0

24 Oct 18:18
@aboodbdaiwi aboodbdaiwi
V1.1.0
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Alpha Release V1.1.0 Pre-release
Pre-release

Overview
We are excited to announce the release of XIPline (Xenon Image Processing Pipeline), an open-source software designed for the analysis of hyperpolarized 129Xe MRI data. Developed at the Center for Pulmonary Imaging at Cincinnati Children's Hospital Medical Center, XIPline is a robust and customizable tool for researchers working in the field of pulmonary imaging. The software provides a user-friendly, graphical user interface (GUI) to analyze, process, and visualize 129Xe MR data for ventilation, diffusion-weighted, and gas exchange imaging.

Purpose
Hyperpolarized 129Xe MRI offers significant potential for non-invasive assessment of lung microstructure and function. As research in this area grows, so does the need for standardized and efficient data processing workflows. XIPline addresses this need by providing a flexible, open-source platform that integrates multiple image analysis methods to facilitate cross-site comparisons and collaborative research.

Features

  • Cross-Platform Compatibility: XIPline supports 129Xe MRI data from all major MRI scanner manufacturers (GE, Philips, Siemens).
  • Calibration: Process calibration data to calculate optimal flip angle and determine 129Xe frequency offset.
  • Ventilation Imaging: Includes algorithms for ventilation defect percentage (VDP) calculation, defect distribution index (DDI) analysis, and ventilation texture analysis.
  • Diffusion Imaging: Calculate apparent diffusion coefficient (ADC), apply age-dependent ADC corrections, and generate diffusion morphometry maps.
  • Gas Exchange Imaging: Implement generalized linear binning for 1-point Dixon imaging to analyze gas exchange.
  • GUI-Based Workflow: A user-friendly interface designed for efficient analysis, requiring minimal coding knowledge.
  • Open Source: The entire codebase is open-source, allowing researchers to contribute and adapt the software to suit their needs.
  • Customizable Pipelines: The software is highly adaptable, enabling customization of image processing methods based on specific research needs.

Developed by the Center for Pulmonary Imaging at Cincinnati Children's Hospital Medical Center

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