5/ Example 1: Clinical #SPECT Imaging 🧠
We validated #PyTomography achieving great quantitative results in a vendor-neutral and precise manner; a great tool for researchers!

2/ 🚀 #PyTomography is an open-source Python library for GPU-accelerated medical image reconstruction. It empowers researchers to explore cutting-edge methods in emission tomography with ease. 📜https://shorturl.at/TwiBQ

🔬 New forward operators
- ultrasound physics
- MRI-NUFFT physics wrapper
- ++ ASTRA integration
- near & far field radar operators
- pytomography wrapper SPECT
- SAR noise models
- multiview operators
- single-pixel spyrit wrapper
- spatial unwrapping operators
- multiscale

7/ 💡 What’s next for #PyTomography?
While we continue expanding clinical #PET and #SPECT capabilities, we’re excited to invite YOU to try the #3DSlicer extension, already available for download. Join the community and explore its full potential! https://shorturl.at/QypEN

Luke Polson presenting our open source #PyTomography code for quantitative image reconstruction at the #eanm23

https://shorturl.at/nDOTX

1/ As a PhD student, I dreamed of #reconstruction software that would let us test #SPECT and #PET quantification methods in a simple, open, and vendor-neutral way. That dream inspired #PyTomography, and today, thanks to @lukepolson97 et. al. PhD's work, it’s a reality. 🧵👇

3/ Why does this matter? 🤔 Medical image reconstruction is critical for diagnosis and therapy (#theranostics). #PyTomography supports modern and AI-based algorithms while being accessible and reproducible, a true #OpenSource 🌐 tool!

8/ 🛠️ This project is more than software, it's a tool to accelerate innovation in medical imaging.
Explore it on
https://github.com/PyTomography/PyTomography

and check the documentation at
https://pytomography.readthedocs.io/en/latest/

We’d love your feedback and/or...