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Updated: May 29, 2025
02:09
Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
Published on: April 12, 2024
523
FireVoxel: Interactive Software for Multi-Modality Analysis of Dynamic Medical Images
Artem Mikheev1, Joseph M DiMartino1, Louisa Bokacheva2
1Department of Radiology, NYU Grossman School of Medicine, 660 First Ave, Rm. 413, New York, NY, 10016, USA.
Journal of Imaging Informatics in Medicine
|February 3, 2025
Summary
FireVoxel software offers advanced quantitative analysis for medical images, excelling in abdominal and genitourinary studies. Its tools for motion correction and dynamic modeling are valuable for research.
Area of Science:
- Medical Imaging Analysis
- Quantitative Image Processing
- Software Applications in Medicine
Background:
- Medical image analysis is crucial for diagnosis and research.
- Specialized software is needed for complex quantitative tasks.
- FireVoxel has emerged as a tool for medical image analysis.
Purpose of the Study:
- To provide an overview of FireVoxel software.
- To detail its features, workflows, and applications.
- To analyze its usage in peer-reviewed publications.
Main Methods:
- Described FireVoxel's user interface, features, and workflows.
- Outlined basic and advanced image analysis tools.
- Analyzed published studies using FireVoxel and compared with general medical image analysis software trends.
Main Results:
- FireVoxel is used by over 3000 users globally, with 528 publications in 15 years.
- MRI is the dominant modality (78.2%), followed by CT and PET.
- Common methods include dynamic modeling, segmentation, and coregistration, particularly in abdominal/genitourinary imaging.
Conclusions:
- FireVoxel provides effective quantitative tools, especially for abdominal and genitourinary imaging.
- Its strengths lie in managing patient motion and correcting MR artifacts.
- The software is valuable for dynamic studies and shows growing research relevance.
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