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Upgrade of AQ3DC
Key Investigators
- Leroux Gaelle (University of Michigan, USA)
- Claret Jeanne (University of Michigan, USA)
- Cevidanes Lucia (University of Michigan, USA)
- Hutin Nathan (CPE Lyon, France)
- Allemand David (Kitware, USA)
- Prieto Juan Carlos (University of North Carolina, USA)
Project Description
Developing an enhancement for the AQ3DC (Automatic Quantification 3D Computation) Slicer module. The upgrade aims to incorporate a comprehensive statistics output feature to complement the existing clinician-focused output, enabling rapid computation and analysis of volumetric data.
Objective
To enhance the AQ3DC Slicer module by integrating a statistics output feature for detailed data analysis, thereby improving its utility for research and clinical purposes.
Approach and Plan
- Review the existing AQ3DC module to identify the current output capabilities and limitations.
- Design a statistics output framework that aligns with the needs of end-users, ensuring it is intuitive and user-friendly.
- Implement the statistics output feature, incorporating feedback from beta testing with a select group of clinicians and researchers.
- Conduct thorough testing to validate the accuracy and reliability of the statistical computations.
- Prepare documentation and tutorials for the new feature to facilitate easy adoption by users.
Progress and Next Steps
- Completed the initial review of the AQ3DC module’s output capabilities.
- Drafted a preliminary design for the statistics output feature and gathered feedback from potential users.
Illustrations
Background and References
No response