mlsanityData to 14 Oct 2026

Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction

arXiv 2404.00471 ↗First posted 30 Mar 2024physics.med-ph cs.CV cs.LGcited by 4

On the map: Diffusion models → Medical imaging and segmentation

Abstract (arXiv)

Photoacoustic tomography (PAT) is a rapidly-evolving medical imaging modality that combines optical absorption contrast with ultrasound imaging depth. One challenge in PAT is image reconstruction with inadequate acoustic signals due to limited sensor coverage or due to the density of the transducer array. Such cases call for solving an ill-posed inverse reconstruction problem. In this work, we use score-based diffusion models to solve the inverse problem of reconstructing an image from limited PAT measurements. The proposed approach allows us to incorporate an expressive prior learned by a diffusion model on simulated vessel structures while still being robust to varying transducer sparsity conditions.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Placed in Medical imaging and segmentation, one of 14 directions in Diffusion models. Builds on 15 of its 30 references that are in the map. First posted on arXiv 30 Mar 2024.

Builds on

15 of 30 references.

Closest ancestors · 2

Same direction, newest first

  1. 2023Dehazing Ultrasound using Diffusion Models20 Jul
  2. 2021Solving Inverse Problems in Medical Imaging with Score-Based Generative Models15 Nov

Other references · 13

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  3. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,122
  4. 2021Improved Denoising Diffusion Probabilistic Modelscited by 3,761
  5. 2022Diffusion Posterior Sampling for General Noisy Inverse Problemscited by 1,416
  6. 2021Variational Diffusion Modelscited by 1,153
  7. 2022Denoising Diffusion Restoration Modelscited by 963
  8. 2022Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Modelcited by 583
  9. 2019Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processingcited by 421
  10. 2021Robust Compressed Sensing MRI with Deep Generative Priorscited by 286
  11. 2023Score-Based Diffusion Models as Principled Priors for Inverse Imagingcited by 127
  12. 2022ADIR: Adaptive Diffusion for Image Reconstructioncited by 20
1 more
  1. 2023Variational Bayesian Imaging with an Efficient Surrogate Score-based Priorcited by 17

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 0; 2026: 2.

4 papers.

  1. 2024An Unconditional Representation of the Conditional Score in Infinite-Dimensional Linear Inverse Problemscited by 1
  2. 2024Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Modelscited by 1
  3. 2026Fundamental Recovery Bounds for SPAD Signals under Stationary Fluxcited by 0
  4. 2026Score-based diffusion models for severely ill-posed problems in diffuse optical tomographycited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Diffusion assisted image reconstruction in optoacoustic tomography
  2. 2023Score-based Generative Models for Photoacoustic Image Reconstruction with Rotation Consistency Constraints
  3. 2025Guidance-base Diffusion Models for Improving Photoacoustic Image Quality
  4. 2024Using Spatial Diffusions for Optoacoustic Tomography Image Reconstruction
  5. 2023Diffusion Reconstruction of Ultrasound Images with Informative Uncertainty
  6. 2023Speeding up Photoacoustic Imaging using Diffusion Models
  7. 2024Ultrasound Imaging based on the Variance of a Diffusion Restoration Model
  8. 2023Single PW takes a shortcut to compound PW in US imaging