Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 24 min ago
PreprintCC BY-NC-ND 4.0arXiv

A unified sensitivity kernel for coherent wave tomography in radar, seismic, ultrasound, and optical imaging

Abstract

Imaging an inhomogeneous medium with waves rests on the response of a boundary measurement to a change of the medium inside, formally the sensitivity kernel of the inverse problem. Here we show that the kernels of radar, seismology, medical ultrasound, and diffuse optics all reduce to just two classes. Every kernel is the product of a forward and an adjoint field, and a real measurement retains one quadrature of that product. These quadratures are the two classes, selected either by a component of the material parameter or by the misfit, the structure that persists for the coherent-wave kernel in both the ballistic and the diffusive regime. We place these areas on one diagram of scattering strength and transport depth, exposing a shared computational limit set by wavefield storage, and propose a broadband on-shell compression that can relax that limit.

Related

  1. Scalable Tomography of Coherent Noise via Stabilizer-Code Polarization
    Long Huang
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  2. Single-shot coherent process tomography and mid-infrared polarimetry with undetected photons
    Marthe Zeja, Wen-Zhe Yan, Zhibo Hou +1
    arXivPreprintarXiv licenceFull textOptics & photonicsQuantum physics & quantum informationarXiv
  3. Towards 3D fully randomized frequency-domain reconstruction of the speed of sound in breast ultrasound computed tomography
    Luca A. Forte
    arXivPreprintarXiv licenceFull textBiological & medical physicsComputational physicsarXiv
  4. Contact-Free Nuclear and Cytoplasmic Mechanophenotyping by Amplitude-Modulated Ultrasound and Phase-Locked Optical Diffraction Tomography: Computational Feasibility and Initial Experimental Readouts
    Yagmur Isik, Merve Sevgi, Esmahan Caglar +4
    arXivPreprintCC BY-NC-SA 4.0Full textCell biologyOptics & photonicsarXiv
  5. MOR-TL: A Novel Model Order Reduction Method for Parametrized Problems with Application to Seismic Wave Propagation
    Julien Besset, Hélène Barucq, Rabia Djellouli +1
    Journal of Computational and Applied MathematicsPeer-reviewedCC BY 4.0Full textStatistical & nonlinear physicsHAL
BibTeX
@misc{yamilov2026unified,
  title = {{A unified sensitivity kernel for coherent wave tomography in radar, seismic, ultrasound, and optical imaging}},
  author = {Alexey Yamilov},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2609.31583},
  eprint = {2609.31583},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.31583},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - UNPB
TI  - A unified sensitivity kernel for coherent wave tomography in radar, seismic, ultrasound, and optical imaging
AU  - Alexey Yamilov
PY  - 2026
DA  - 2026/10/20
PB  - arXiv
DO  - 10.48550/arxiv.2609.31583
UR  - https://arxiv.org/abs/2609.31583
AB  - Imaging an inhomogeneous medium with waves rests on the response of a boundary measurement to a change of the medium inside, formally the sensitivity kernel of the inverse problem. Here we show that the kernels of radar, seismology, medical ultrasound, and diffuse optics all reduce to just two classes. Every kernel is the product of a forward and an adjoint field, and a real measurement retains one quadrature of that product. These quadratures are the two classes, selected either by a component of the material parameter or by the misfit, the structure that persists for the coherent-wave kernel in both the ballistic and the diffusive regime. We place these areas on one diagram of scattering strength and transport depth, exposing a shared computational limit set by wavefield storage, and propose a broadband on-shell compression that can relax that limit.
ER  -