# Project 1 - Write your own PET or SPECT reconstruction algorithm
Lead: Nicole Jurjew
Co-lead: Edoardo Pasca

## Description
This group is for people who are making their first steps in image reconstruction and/or Python. We will attempt some of the jupyter notebooks that run existing SIRF reconstruction algorithms, and develop an OSEM and MAP algorithm. The corresponding notebooks have some exercises to try, but this group will not work towards a project.

## Preparation
### Recommended Material:

* [Fully3D 2021 - SIRF/CIL training school - 05 Implementation of OSEM,... in SIRF](https://youtu.be/4A--H5jBVPw)
**Kris Thielemans**. *Implementation of MLEM, OSMAPOSL,… in SIRF*
*Content*: Differentiation of implementation levels: e.g. Using existing algorithms vs. Implementing algorithm "from scratch"

* [Fully3D 2021 - SIRF/CIL training school - 08 Iterative image reconstruction - PET specific](https://youtu.be/an9Yjbusv58)
**Andrew Reader**. *Iterative Image reconstruction - PETSpecific*
*Content*: algorithms: PET-specific: Poisson log-likelihood, MLEM, OSEM, Regularization: PET quadratic prior: dePiero's update function

* [Fully3D 2021 - SIRF/CIL training school - 09 Notebooks: PET specific, week 2](https://youtu.be/58npFJiZAfQ)
**Kris Thielemans**. *PET-specific notebooks for week 2*
*Notebooks*: ML_reconstruction, DIY_OSEM, MAPEM

### Recommended paper: None

## Notebooks to be tackled during the conference:

* PET/OSEM_reconstruction.ipynb
* PET/DIY_OSEM.ipynb
* PET/ML_reconstruction.ipynb
* PET/MAPEM.ipynb

## Q&A

# Back to main
[Main page](https://hackmd.io/oNneaDUOQNK6XdDRmooITw?view#SIRF-training-school-PSMR-TBP-2022---Main)