Sep 2026· Journal of Medical Imaging· Vol 13 5, pp.
057001
· 0 citations
Medicine
TL;DR
This is the first demonstration of a bent-ray UCT algorithm that uses only DOA information, without TOF information, and it is demonstrated that DOA-UCT images have sharper edges and improved structural similarity to ground-truth images than conventional TOF-UCT.
Abstract
Purpose
Ultrasound computer tomography (UCT) is a promising medical imaging method for various applications such as the breast and brain. Current UCT image reconstruction methods fall broadly into two categories: time-of-flight (TOF)-based ray-tracing methods and full-waveform inversion (FWI) methods. Ray tracing methods are computationally efficient but often have blurred edges and low spatial resolution, whereas FWI methods demonstrate excellent image quality at high computational cost. To improve the image quality of ray-based methods without greatly increasing their computational cost, we propose bent-ray UCT reconstruction using direction of arrival (DOA) information rather than TOF information.
Approach
DOA- and TOF-UCT methods are evaluated in silico using two-dimensional Shepp-Logan and breast tissue phantoms with speeds of sound ranging from 1460 to 1580 m / s . Both the Shepp-Logan and breast tissue phantoms were imaged with 128-element ring arrays with diameters of 38.5 and 21 cm, operating frequencies of 350 and 600 kHz, and resolutions of 0.71 and 0.41 mm, respectively. Initial measurements were derived from a finite-difference time-difference solution of the viscoelastic wave equation.
Results
We demonstrate that DOA-UCT images have sharper edges and improved structural similarity to ground-truth images than conventional TOF-UCT. DOA-UCT reconstruction is also able to reconstruct images at multiple time points and with various window sizes, reducing the need to find an exact signal onset.
Conclusions
To the best of our knowledge, this is the first demonstration of a bent-ray UCT algorithm that uses only DOA information, without TOF information.
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...
Breast cancer is one of the most common malignant tumors worldwide, and ultrasound computed tomography (USCT) has attracted increasing attention due to its quantitative imaging capability and radiation-free characteristics. However, improving image contrast and lesion visualization remains challenging, especially for m...
This study demonstrates the feasibility of DE CBCT technology on the HyperSight imaging system through a novel statistical material specific imaging algorithm and VMI-based CNR improvements and metal artifact reduction.
This protocol presents a QUS imaging pipeline implemented on the DKPOC probe (portable linear ultrasound probe), which interfaces directly with a laptop through a USB-C connection, providing a practical framework for quantitative point-of-care ultrasound imaging and clinician-led QUS studies in human subjects.
Nitin Burman, C. Hoerig, Marie Muller et al.· Journal of Visualized Experi...· 0 citations
In image-guided radiation therapy (IGRT), in-room X-rays are often used for patient positioning and monitoring, however, usually default imaging settings are utilized for each indication. Obtaining patient-specific imaging settings before treatment is achievable using simulated X-rays, which can facilitate IGRT workflo...
Hannah Jungreuthmayer, Julius Arnold, A. Renner et al.· 0 citations
Electron density provides a significantly better CNR for liver metastases with electron density derived from dual-energy computed tomography compared with both conventional and VMI at 40 keV reconstructions, in both the unenhanced and portal-dominant phases.
C. Chabrier, Maxime Leroy, P. Ernst· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.