MultiRecon

Machine Learning for Multimodal Medical Image Reconstruction

Key Features

  • Joint Reconstruction Models
    Deep learning architectures that simultaneously reconstruct PET/CT, PET/MRI and multi-energy CT images, exploiting shared anatomical and functional information.

  • Dose Reduction
    Algorithms designed to maintain diagnostic image quality at lower radiation doses, contributing to safer imaging protocols.

How It Works

  1. Multichannel Varational Autoencoders (VAEs)
    Multichannel VAEs to generate multiple images from a single latent variable combined with iterative reconstruction algorithms, thus allowing the information to be shared between the channels.

  2. Multichannel Diffusion Models (DMs)
    Combining iterative reconstruction algorithms with multichannel DMs to sample multiple images simultanesouly while taking into account inter-channel information.

Core Team

  • Alexandre Bousse (LaTIM, Project Lead)
  • B. Sixou (CREATIS)
  • V. Maxim (CREATIS)
  • Claude Comtat (SHFJ)
  • Florent Sureau (SHFJ)
  • Catherine Chez-Le Rest (CHU Poitier)

Publications

2025

  1. Joint Reconstruction of the Activity and the Attenuation in PET by Diffusion Posterior Sampling: a Feasibility Study
    Clémentine Phung-Ngoc, Alexandre Bousse, Antoine De Paepe, and 3 more authors
    In International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2025
  2. MHUconnect: Multi-Head U-Net Connecting All Energy Bins For Synergistic Spectral CT Reconstruction
    Zhihan Wang, Alexandre Bousse, Frank Vermet, and 4 more authors
    In International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2025
  3. Multi-Branch Generative Models for Multichannel Imaging With an Application to PET/CT Synergistic Reconstruction
    Noel Jeffrey Pinton, Alexandre Bousse, Catherine Cheze-Le Rest, and 1 more author
    IEEE Transactions on Radiation and Plasma Medical Sciences, 2025
    DOI
  4. Joint Reconstruction of Activity and Attenuation in PET by Diffusion Posterior Sampling in Wavelet Coefficient Space
    Clémentine Phung-Ngoc, Alexandre Bousse, Antoine De Paepe, and 3 more authors
    arXiv preprint arXiv:2505.18782, 2025
  5. Material Decomposition in Photon-Counting Computed Tomography with Diffusion Models: Comparative Study and Hybridization with Variational Regularizers
    Corentin Vazia, Thore Dassow, Alexandre Bousse, and 6 more authors
    arXiv preprint arXiv:2503.15383, 2025

2024

  1. Spectral CT Two-step and One-step Material Decomposition using Diffusion Posterior Sampling
    Corentin Vazia, Alexandre Bousse, Jacques Froment, and 6 more authors
    In European Signal Processing Conference (EUSIPCO), 2024
    DOI
  2. Synergistic PET/MR reconstruction with VAE constraint
    Valentin Gautier, Claude Comtat, Florent Sureau, and 3 more authors
    In EUSIPCO 2024-32nd European Signal Processing Conference, 2024
    DOI
  3. Diffusion posterior sampling for synergistic reconstruction in spectral computed tomography
    Corentin Vazia, Alexandre Bousse, Béatrice Vedel, and 6 more authors
    In 2024 IEEE 21st international symposium on biomedical imaging (ISBI 2024). IEEE, 2024
  4. Bimodal PET/MRI generative reconstruction based on VAE architectures
    Valentin Gautier, Alexandre Bousse, Florent Sureau, and 3 more authors
    Physics in Medicine & Biology, 2024
    DOI
  5. A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising With Neural Network Approaches
    Alexandre Bousse, Venkata Sai Sundar Kandarpa, Kuangyu Shi, and 4 more authors
    IEEE Transactions on Radiation and Plasma Medical Sciences, 2024
    DOI
  6. Uconnect: Synergistic Spectral CT Reconstruction With U-Nets Connecting the Energy Bins
    Zhihan Wang, Alexandre Bousse, Franck Vermet, and 5 more authors
    IEEE Transactions on Radiation and Plasma Medical Sciences, 2024
    DOI
  7. Systematic Review on Learning-based Spectral CT
    Alexandre Bousse, Venkata Sai Sundar Kandarpa, Simon Rit, and 5 more authors
    IEEE Transactions on Radiation and Plasma Medical Sciences, 2024
    DOI
  8. CConnect: Synergistic Convolutional Regularization for Cartesian T2* Mapping
    Juan Molina, Alexandre Bousse, Tabita Catalán, and 5 more authors
    arXiv preprint arXiv:2404.18182, 2024

2023

  1. Joint PET/CT Reconstruction Using a Double Variational Autoencoder
    Noel Jeffrey Pinton, Alexandre Bousse, Catherine Cheze-Le Rest, and 1 more author
    In IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detectors Conference, 2023
  2. Synergistic PET/CT Reconstruction Using a Joint Generative Model
    Noel Jeffrey Pinton, Alexandre Bousse, Zhihan Wang, and 5 more authors
    In International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2023
  3. VAE constrained MR guided PET reconstruction
    Valentin Gautier, Claude Comtat, Florent Sureau, and 4 more authors
    In International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2023

2022

  1. Multi-channel convolutional analysis operator learning for dual-energy CT reconstruction
    Alessandro Perelli, Suxer L. Alfonso Garcia, Alexandre Bousse, and 3 more authors
    Physics in Medicine & Biology, 2022
    DOI

For more details, visit our project website or check out the full Publications list on this site.