9/ None of this would be possible without our incredible team at #Qurit and our collaborators. A huge thanks to @lukepolson97 for leading and making this dream a reality and to everyone who contributed along the way! 💙

Let us know your thoughts or questions below!
#theranostics

collaboration ideas. 🚀

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...

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

6/ Example 2: #PET image reconstruction 🔬
We integrated LM-TOF reconstruction and the DIPRecon algorithm, leveraging neural networks for improved resolution and noise reduction.

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!

4/ 🌟 Key Features:
- Modular design for #SPECT, #PET, and #CT reconstruction
- #PyTorch integration for deep learning
- #GPU-accelerated fast computations
- A #3DSlicer extension for intuitive, GUI-based workflows

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!

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

Join the community and help us expand beyond anatomical and other reconstruction priors that have already been implemented.

Let’s make it easy to implement new reconstruction ideas and test new methods.

Have you wondered why we don’t see toxicity in the great majority of patients? Isn’t that a sign of under treatment for most patients? How can we solve the “unknowns” to truly personalize RPTs?