Project-MONAI / Project-MONAI/MONAI
Add support for ultrasound data
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- Dominant language
- Python
- Stars
- 8.7k
- Forks
- 1.6k
- Avg merge
- 5d 1h
- Merged PRs (30d)
- 20
Description
Unlike other imaging modalities like MRI or CT, ultrasound images have distinct characteristics, including high noise levels, unique texture patterns, and variable contrast depending on the specific tissue being examined. Processing ultrasound data requires specialized algorithms, such as speckle reduction and boundary enhancement, which differ significantly from standard image processing techniques.
To integrate ultrasound data into our existing pipelines, we need to add flexible support options. These might include handling raw ultrasound data, incorporating specialized preprocessing steps, or enabling data streaming. Supporting raw data could open possibilities for real-time analysis, while collaboration with platforms like Holoscan could further enhance our capabilities in handling and processing ultrasound imaging data effectively.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry points; start by locating the existing imaging-data pipeline and its modality support. Clarify whether the first deliverable is raw ultrasound handling, preprocessing, streaming, or Holoscan integration, then define tests and acceptance criteria for the selected scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100