berkanlafci/oadat
OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing
This project provides standardized optoacoustic (photoacoustic) image data for medical researchers and engineers developing new imaging techniques. It includes real-world forearm scan data and synthetic data, which can be used to test and compare different image processing and reconstruction algorithms. Researchers can input raw optoacoustic signals or simulated pressure maps and receive reconstructed images, allowing for consistent evaluation of their methods.
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Use this if you are developing or evaluating optoacoustic image reconstruction or processing algorithms and need a standardized dataset of both experimental and simulated clinical forearm data to benchmark your work.
Not ideal if you are looking for general-purpose medical imaging datasets or optoacoustic data from organs other than the forearm.
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35
Forks
5
Language
Python
License
MIT
Category
Last pushed
Aug 21, 2023
Commits (30d)
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