Algorithm based on machine learning to accurately measure the characteristics of DOI gamma cameras.
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README.md
article.py
cmice_15mm.py
cmice_8mm.py
cmice_simulation.py
depth_embedding.py

README.md

DepthEmbedding

This code repository implements the DepthEmbedding algorithm for the estimation of the depth-dependent forward model of gamma cameras (monolithic and non-monolithic).

The algorithm is described in [1].

How to use

Download the two test data zip files from http://tomographylab.scienceontheweb.net/depthembedding/, uncompressed them, then in the same folder run the following command:
python article.py

How to cite

If you utilize this code or its parts, please cite [1].

References

[1] A machine learning method for fast and accurate characterization of depth-of-interaction gamma cameras. S. Pedemonte, L. Pierce, K. Van Leemput, Physics in Medicine and Biology, October 2017, 19,62(21):8376-8401. https://www.ncbi.nlm.nih.gov/pubmed/28436919