Artificial intelligence in breast X-ray imaging
S Vedantham, MS Shazeeb, A Chiang… - Seminars in Ultrasound …, 2023 - Elsevier
This topical review is focused on the clinical breast x-ray imaging applications of the rapidly
evolving field of artificial intelligence (AI). The range of AI applications is broad. AI can be …
evolving field of artificial intelligence (AI). The range of AI applications is broad. AI can be …
A residual dense network assisted sparse view reconstruction for breast computed tomography
To develop and investigate a deep learning approach that uses sparse-view acquisition in
dedicated breast computed tomography for radiation dose reduction, we propose a …
dedicated breast computed tomography for radiation dose reduction, we propose a …
Cone-beam breast CT using an offset detector: Effect of detector offset and image reconstruction algorithm
HW Tseng, A Karellas… - Physics in Medicine & …, 2022 - iopscience.iop.org
Objective. A dedicated cone-beam breast computed tomography (BCT) using a high-
resolution, low-noise detector operating in offset-detector geometry has been developed …
resolution, low-noise detector operating in offset-detector geometry has been developed …
Scatter correction for a clinical cone‐beam CT system using an optimized stationary beam blocker in a single scan
Purpose Scatter contamination in the cone‐beam CT (CBCT) leads to CT number
inaccuracy, spatial nonuniformity, and loss of image contrast. In our previous work, we …
inaccuracy, spatial nonuniformity, and loss of image contrast. In our previous work, we …
Cone-beam breast computed tomography using ultra-fast image reconstruction with constrained, total-variation minimization for suppression of artifacts
Compressed sensing based iterative reconstruction algorithms for computed tomography
such as adaptive steepest descent-projection on convex sets (ASD-POCS) are attractive due …
such as adaptive steepest descent-projection on convex sets (ASD-POCS) are attractive due …
Dedicated cone-beam breast CT using laterally-shifted detector geometry: Quantitative analysis of feasibility for clinical translation
S Vedantham, HW Tseng, S Konate… - Journal of X-ray …, 2020 - content.iospress.com
BACKGROUND: High-resolution, low-noise detectors with minimal dead-space at chest-wall
could improve posterior coverage and microcalcification visibility in the dedicated cone …
could improve posterior coverage and microcalcification visibility in the dedicated cone …
Radiation dosimetry of a clinical prototype dedicated cone‐beam breast CT system with offset detector
Purpose A clinical‐prototype, dedicated, cone‐beam breast computed tomography (CBBCT)
system with offset detector is undergoing clinical evaluation at our institution. This study is to …
system with offset detector is undergoing clinical evaluation at our institution. This study is to …
Sparse-view, short-scan, dedicated cone-beam breast computed tomography: image quality assessment
HW Tseng, A Karellas… - Biomedical physics & …, 2020 - iopscience.iop.org
The purpose of this study is to quantify the impact of sparse-view acquisition in short-scan
trajectories, compared to 360-degrees full-scan acquisition, on image quality measures in …
trajectories, compared to 360-degrees full-scan acquisition, on image quality measures in …
[HTML][HTML] Shading correction for volumetric CT using deep convolutional neural network and adaptive filter
Background Shading artifact may lead to CT number inaccuracy, image contrast loss and
spatial non-uniformity (SNU), which is considered as one of the fundamental limitations for …
spatial non-uniformity (SNU), which is considered as one of the fundamental limitations for …
Characterization of x-ray focal spots using a rotating edge
Purpose: The focal spot size and shape of an x-ray system are critical factors to the spatial
resolution. Conventional approaches to characterizing the focal spot use specialized tools …
resolution. Conventional approaches to characterizing the focal spot use specialized tools …