•1 min read•from Machine Learning
Built a efficient and fast MRI compression program called KMRI [P]
Our take
Introducing KMRI [P], an efficient and fast MRI compression program designed for .nii files, utilizing Python, Zstd, and C++. This innovative chunk-based compression format achieves remarkable results, especially with smooth synthetic MRI-like volumes, boasting compression ratios of up to ~900× in optimal scenarios through zero-block skipping. KMRI [P] empowers users to manage their MRI data more effectively, streamlining workflows without sacrificing quality. Explore the project on GitHub at https://github.com/Kiamehr5/KMRI, and share your thoughts on this transformative solution.
KMRI is chunk-based MRI compression format for .nii files (Python + Zstd and C++).
Got strong compression on synthetic MRI-like volumes, especially smooth data (up to ~900× in best case scenarios due to zero-block skipping).
Check it out at https://github.com/Kiamehr5/KMRI and let me know what you think 💻
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