APIRL

APIRL (AR-PET Image Reconstruction Library) is a library with command line tools for tomographic image reconstruction in emission tomography. It was developed to provide an image reconstruction algorithm for the AR-PET (Argentine Positron Emission Tomography), a low cost PET scanner. The implemented algorithms are based on the well known iterative algorithms MLEM and OSEM. In addition, provides an image reconstruction algorithm for a tomographic gamma scanner for non-destructive assay of nuclear waste drums.
The library is being developedd in c++ with different classes for the input data and the projectors used in MLEM and OSEM. It allows to introduce new input data and projector classes easily thanks to the use of polymorphism and inheritance. At the moment the input data format is interfile for images and sinograms, and the configuration files for the command line tools are similar to interfile.
The community is invited to introduce new features and improvements in the library.

Project Activity

See All Activity >

Follow APIRL

APIRL Web Site

You Might Also Like

Achieve perfect load balancing with a flexible Open Source Load Balancer

Take advantage of Open Source Load Balancer to elevate your business security and IT infrastructure with a custom ADC Solution.

Boost application security and continuity with SKUDONET ADC, our Open Source Load Balancer, that maximizes IT infrastructure flexibility. Additionally, save up to $470 K per incident with AI and SKUDONET solutions, further enhancing your organization’s risk management and cost-efficiency strategies.

Learn More

Rate This Project