Coordinate-based Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography
Not on the map. Why?
Abstract (arXiv)
Photoacoustic computed tomography (PACT) is a non-invasive imaging modality, similar to ultrasound, with wide-ranging medical applications. Conventional PACT images are degraded by wavefront distortion caused by the heterogeneous speed of sound (SOS) in tissue. Accounting for these effects can improve image quality and provide medically useful information, but measuring the SOS directly is burdensome and the existing joint reconstruction method is computationally expensive. Traditional supervised learning techniques are currently inaccessible in this data-starved domain. In this work, we introduce an efficient, self-supervised joint reconstruction method that recovers SOS and high-quality images for ring array PACT systems. To solve this semi-blind inverse problem, we parametrize the SOS using either a pixel grid or a neural field (NF) and update it directly by backpropagating the gradients through a differentiable imaging forward model. Our method removes SOS aberrations more accurately and 35x faster than the current SOTA. We demonstrate the success of our method quantitatively in simulation and qualitatively on experimentally-collected and in vivo data. Our code and synthetic numerical phantoms are available on our project page: https://lukeli0425.github.io/Coord-SoS-PACT/.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 10 of its 48 references that are in the map. First posted on arXiv 17 Sep 2024.
Builds on
10 of 48 references.
References · 10
- 2014Adam: A Method for Stochastic Optimizationcited by 37,240
- 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
- 2020Implicit Neural Representations with Periodic Activation Functionscited by 2,238
- 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
- 2021NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstructioncited by 146
- 2023Implicit Neural Representation in Medical Imaging: A Comparative Surveycited by 90
- 2021Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fieldscited by 71
- 2023Coordinate-based neural representations for computational adaptive optics in widefield microscopycited by 10
- 2019Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approachcited by 5
- 2024Implicit Neural Representation for Sparse-view Photoacoustic Computed Tomographycited by 1
Built on by
Citing papers per year: 2026: 2.
2 papers.