Skip to content
DraconiticResearch
Search Sources API
189,280 studies31 sourcesUpdated 36 min ago
PreprintarXiv licencearXiv

Towards 3D fully randomized frequency-domain reconstruction of the speed of sound in breast ultrasound computed tomography

Abstract

Ultrasound computed tomography is emerging as a promising diagnostic imaging tool. 2D geometries suffer from notorious out-of-plane scattering artifacts. Image reconstruction can be achieved with frequency-domain full waveform inversion and it can be further accelerated by randomly phase-encoding the elementary sources. In this manuscript, we extend our previous results for the 2D geometry of a ring-array to the 3D cylindrical geometry of multiple rings. In particular, we consider the cases of an elementary source described by a single array element (quasi-omni-directional transmission), a line source and a focused transmission respectively. With differences in image quality, we prove that a fully randomized frequency-domain inversion in 3D is capable to reconstruct portions of a human breast surrounded by the cylindrical geometry and detect mm-size masses of varying contrast in dense breast, in reasonable computing times, thus opening the concrete possibility to the design of 3D imaging devices with high sensitivity levels. The methods are applicable to multiple tomographic geometries in 3D and, in principle, can be integrated into next generation medical ultrasound scanners.

Related

  1. Computed Tomography Reconstruction Algorithm Using Markov Random Field Model
    Taiga Shimomiya, Taichi Kusumi, Masayuki Uesugi +4
    arXivPreprintarXiv licenceFull textBiological & medical physicsComputational physicsarXiv
  2. Full-field fluorescence computed tomography (F3CT) using a calibrated virtual cone-beam pinhole geometry
    Thomas Zillhardt, Yunhui Chen, Alexander Rack +4
    arXivPreprintCC BY 4.0Full textApplied physics & instrumentationBiological & medical physicsarXiv
  3. Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features
    A. Miadzvetski, V. Rozhkov, R. Sotenskii +2
    arXivPreprintCC BY-NC-ND 4.0Full textApplied physics & instrumentationarXiv
  4. Contrast-enhanced micro-computed tomography visualization of adhesively bonded CFRP/aluminum tubular joints
    John De Vos, Sascha Senck, Iván Josipovic +2
    Nanoscale AdvancesPeer-reviewedCC BY-NC 3.0Full textApplied physics & instrumentationPMC
  5. Signal recovery in the polychromatic computed tomography model: Injectivity and complexity
    Xuanzhou Chen, Ashwin Pananjady
    arXivPreprintCC BY 4.0Full textGeneral mathematicsBiological & medical physicsarXiv
BibTeX
@misc{forte2026towards,
  title = {{Towards 3D fully randomized frequency-domain reconstruction of the speed of sound in breast ultrasound computed tomography}},
  author = {Luca A. Forte},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.01930},
  eprint = {2610.01930},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.01930},
}
RIS
TY  - UNPB
TI  - Towards 3D fully randomized frequency-domain reconstruction of the speed of sound in breast ultrasound computed tomography
AU  - Luca A. Forte
PY  - 2026
DA  - 2026/10/01
PB  - arXiv
DO  - 10.48550/arxiv.2610.01930
UR  - https://arxiv.org/abs/2610.01930
AB  - Ultrasound computed tomography is emerging as a promising diagnostic imaging tool. 2D geometries suffer from notorious out-of-plane scattering artifacts. Image reconstruction can be achieved with frequency-domain full waveform inversion and it can be further accelerated by randomly phase-encoding the elementary sources. In this manuscript, we extend our previous results for the 2D geometry of a ring-array to the 3D cylindrical geometry of multiple rings. In particular, we consider the cases of an elementary source described by a single array element (quasi-omni-directional transmission), a line source and a focused transmission respectively. With differences in image quality, we prove that a fully randomized frequency-domain inversion in 3D is capable to reconstruct portions of a human breast surrounded by the cylindrical geometry and detect mm-size masses of varying contrast in dense breast, in reasonable computing times, thus opening the concrete possibility to the design of 3D imaging devices with high sensitivity levels. The methods are applicable to multiple tomographic geometries in 3D and, in principle, can be integrated into next generation medical ultrasound scanners.
ER  -