mlsanityData to 13 Oct 2026

Neural Born Series Operator for Biomedical Ultrasound Computed Tomography

arXiv 2312.15575 ↗First posted 25 Dec 2023eess.IV cs.CV cs.LGcited by 3

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Abstract (arXiv)

Ultrasound Computed Tomography (USCT) provides a radiation-free option for high-resolution clinical imaging. Despite its potential, the computationally intensive Full Waveform Inversion (FWI) required for tissue property reconstruction limits its clinical utility. This paper introduces the Neural Born Series Operator (NBSO), a novel technique designed to speed up wave simulations, thereby facilitating a more efficient USCT image reconstruction process through an NBSO-based FWI pipeline. Thoroughly validated on comprehensive brain and breast datasets, simulated under experimental USCT conditions, the NBSO proves to be accurate and efficient in both forward simulation and image reconstruction. This advancement demonstrates the potential of neural operators in facilitating near real-time USCT reconstruction, making the clinical application of USCT increasingly viable and promising.

Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). Builds on 21 of its 48 references that are in the map. First posted on arXiv 25 Dec 2023.

Builds on

21 of 48 references.

References · 21

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  2. 2023Segment Anythingcited by 8,195
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9 more
  1. 2023Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustnesscited by 60
  2. 2021Fast PDE-constrained optimization via self-supervised operator learningcited by 24
  3. 2021InversionNet3D: Efficient and Scalable Learning for 3D Full Waveform Inversioncited by 12
  4. 2021High Resolution 3D Ultrasonic Breast Imaging by Time-Domain Full Waveform Inversioncited by 8
  5. 2023Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomographycited by 8
  6. 2021Spatial response identification enables robust experimental ultrasound computed tomographycited by 4
  7. 2023Neural Operator Learning for Ultrasound Tomography Inversioncited by 4
  8. 2022A Learned Born Series for Highly-Scattering Mediacited by 3
  9. 20193D Wave-Equation-Based Finite-Frequency Tomography for Ultrasound Computed Tomographycited by 1

Built on by

Cited by year (2026 to 13 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learningcited by 12
  2. 2025OpenBreastUS: Benchmarking Neural Operators for Wave Imaging Using Breast Ultrasound Computed Tomographycited by 2
  3. 2026Starter-Iterator Neural Operator: A Unified Architecture for High-Fidelity Forward and Inverse PDE Problemscited by 0