OpenwaterHealth/OpenLIFU-python
Nov 2024 – Nov 2024
1 Month active
Languages Used
Python
Technical Skills
3D TransformationsAlgorithm DevelopmentCoordinate SystemsMedical ImagingNumerical Computation
Tong Fu
PROFILE
Tong Fu
Developed a virtual fitting algorithm for MRI transducer pose optimization in the OpenwaterHealth/OpenLIFU-python repository, focusing on automating and improving the accuracy of transducer placement. The solution used Python to implement 3D transformations and numerical computation, enabling robust coordinate system conversions and pose calculations for MRI volumes and targets. By iterating over a search grid, the algorithm identified optimal transducer positions and orientations within steering limits, supporting precise target analysis. The modular design established a foundation for future automation and quality assurance workflows, demonstrating expertise in algorithm development and medical imaging while addressing a critical need for reliable transducer positioning.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
273
Activity Months1
Your Network
57 peopleShared Repositories
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Work History
November 2024
1 Commits • 1 Features
Nov 1, 2024Month 2024-11 focused on delivering a critical feature in OpenwaterHealth/OpenLIFU-python: a virtual fitting algorithm for MRI transducer pose optimization. The work introduces a robust method to compute the optimal transducer transform (position and orientation) for a given MRI volume and target, including coordinate system conversions, pose computation, and target position analysis within steering limits. It iterates over a search grid to identify the best fit, enhancing automation and accuracy of transducer placement. Delivered in a single commit: 003b7034c93358650146b403b865eefe0eca7529 ("Implement virtual fitting algorithm (#147)").
1 Commits • 1 Features
Nov 1, 2024Month 2024-11 focused on delivering a critical feature in OpenwaterHealth/OpenLIFU-python: a virtual fitting algorithm for MRI transducer pose optimization. The work introduces a robust method to compute the optimal transducer transform (position and orientation) for a given MRI volume and target, including coordinate system conversions, pose computation, and target position analysis within steering limits. It iterates over a search grid to identify the best fit, enhancing automation and accuracy of transducer placement. Delivered in a single commit: 003b7034c93358650146b403b865eefe0eca7529 ("Implement virtual fitting algorithm (#147)").
November 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
3D TransformationsAlgorithm DevelopmentCoordinate SystemsMedical ImagingNumerical Computation
Repositories Contributed To
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