https://github.com/yupbank/mri_starter
https://github.com/yupbank/mri_starter
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/yupbank/mri_starter
- Owner: yupbank
- Created: 2023-04-26T14:53:37.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-04-26T14:54:33.000Z (about 2 years ago)
- Last Synced: 2025-02-08T15:35:10.547Z (4 months ago)
- Size: 2.93 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: readme.md
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README
# From chatGPT
---
If you want to get hands-on experience with MRI, there are several project ideas that you can explore:
- Implementing MRI signal processing algorithms: Implement algorithms for image reconstruction, noise reduction, motion correction, and image registration in MRI using programming languages like Python or MATLAB.
- Designing MRI pulse sequences: Design and simulate custom pulse sequences for MRI using software tools like MATLAB, PULSAR or TOPPE. Explore different types of sequences such as gradient echo, spin echo, and inversion recovery.
- Building an MRI phantom: Build a phantom that simulates the properties of human tissue to test and validate MRI systems. You can use materials such as water, oil, agar, and doped gels to create different tissue types with known properties.
- Developing MRI hardware: Build a simple MRI scanner using low-field magnets and open-source hardware like Raspberry Pi. You can also explore building gradient coils, RF coils, and pulse generators.
- MRI data analysis: Analyze MRI data using machine learning techniques like clustering, classification, and regression. You can use tools like scikit-learn, Keras, or TensorFlow to build models for disease diagnosis or image segmentation.
- MRI simulation: Use simulation software like Sim4Life or COMSOL to simulate MRI experiments and study the effect of different parameters on image quality and contrast.