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SCOPE: Slice-COnsistent PET Reconstruction with 2D BBDM

This project was conducted by the Computer Vision team as part of the 2025 Spring modeling project at Data Science Lab, Yonsei University.

Team

Cohort Members
12th Jeongwoo Lee(Leader), Yingjun Shen
13th Seungbeom Seo, Chaeeun Song

Coverpage

Cover Image

For more detailed explanations, methodology, and analysis, please refer to the project report


How to Run Code

This project contains two main components:

  • gan/: GAN-based denoising and image-to-image translation for PET image reconstruction
  • bbdm/: Slice-Consistent Brownian Bridge Diffusion Model for PET image reconstruction

To run the code, please refer to the respective README.md files:

cd gan/
# or
cd bbdm/

Results

Qualitative Results

Reconstruction Result1

Reconstruction Result2

Reconstruction Result3

Quantitative Results

Table Result


License

Some parts of this codebase are adapted from external repositories with their own licenses. For exact licensing terms, please refer to each respective repository listed in the Acknowledgement section.


Acknowledgement

This project is based on:

We gratefully acknowledge the original authors for their contributions.

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