OpenwaterHealth/OpenLIFU-python
Jan 2025 – Jan 2025
1 Month active
Languages Used
C++Python
Technical Skills
3D ReconstructionAffine TransformationsAlgorithm ImplementationCode RefactoringData ConversionImage Processing
Ebrahim Ebrahim
PROFILE
Ebrahim Ebrahim
Contributed to OpenwaterHealth/OpenLIFU-python by developing core 3D imaging features and improving code quality for medical imaging workflows. Built a Python-based 3D foreground masking algorithm using Otsu thresholding, connected component analysis, and morphological operations to isolate primary objects in volumetric data. Added utilities for converting NumPy arrays to VTK images and transforming binary labelmaps into surface meshes, supporting decimation and smoothing for visualization. Enhanced reliability through unit testing and static code analysis, including refactoring imports to resolve linting errors. Leveraged skills in image processing, scientific computing, and software development with Python, NumPy, and VTK to streamline preprocessing and visualization.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
2
Lines of code
303
Activity Months1
Your Network
11 peopleShared Repositories
11
Work History
January 2025
4 Commits • 2 Features
Jan 1, 2025January 2025 monthly performance summary for OpenwaterHealth/OpenLIFU-python: Delivered core 3D imaging capabilities and stabilized code quality to accelerate medical imaging workflows. Key outcomes include (1) 3D Foreground Masking for Medical Imaging, enabling isolation of the primary object in 3D arrays with Otsu thresholding, connected component analysis, morphological closing, and hole filling; (2) 3D Visualization and Processing Utilities, adding a NumPy array-to-VTK image converter and a binary labelmap-to-surface mesh tool with optional decimation, smoothing, and normal computation, all with tests; (3) Static analysis cleanup to address pylint E0611 in skinseg by refactoring imports to direct skimage modules. These efforts collectively improve preprocessing accuracy, streamline visualization pipelines, and reduce maintenance overhead. Technologies demonstrated include Python-based image processing, Otsu thresholding, connectivity and morphology operations, NumPy-VTK integration, mesh generation, unit testing, and static code analysis.
4 Commits • 2 Features
Jan 1, 2025January 2025 monthly performance summary for OpenwaterHealth/OpenLIFU-python: Delivered core 3D imaging capabilities and stabilized code quality to accelerate medical imaging workflows. Key outcomes include (1) 3D Foreground Masking for Medical Imaging, enabling isolation of the primary object in 3D arrays with Otsu thresholding, connected component analysis, morphological closing, and hole filling; (2) 3D Visualization and Processing Utilities, adding a NumPy array-to-VTK image converter and a binary labelmap-to-surface mesh tool with optional decimation, smoothing, and normal computation, all with tests; (3) Static analysis cleanup to address pylint E0611 in skinseg by refactoring imports to direct skimage modules. These efforts collectively improve preprocessing accuracy, streamline visualization pipelines, and reduce maintenance overhead. Technologies demonstrated include Python-based image processing, Otsu thresholding, connectivity and morphology operations, NumPy-VTK integration, mesh generation, unit testing, and static code analysis.
January 2025
Activity
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Quality Metrics
Correctness97.6%
Maintainability95.0%
Architecture95.0%
Performance82.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
3D ReconstructionAffine TransformationsAlgorithm ImplementationCode RefactoringData ConversionImage ProcessingLintingMedical ImagingNumPyScientific ComputingSoftware DevelopmentTestingVTK
Repositories Contributed To
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