Paired cycle‐GAN‐based image correction for quantitative cone‐beam computed tomography

J Harms, Y Lei, T Wang, R Zhang, J Zhou… - Medical …, 2019 - Wiley Online Library
Purpose The incorporation of cone‐beam computed tomography (CBCT) has allowed for
enhanced image‐guided radiation therapy. While CBCT allows for daily 3D imaging, images …

Flat-panel conebeam CT in the clinic: history and current state

R Fahrig, DA Jaffray, I Sechopoulos… - Journal of Medical …, 2021 - spiedigitallibrary.org
Research into conebeam CT concepts began as soon as the first clinical single-slice CT
scanner was conceived. Early implementations of conebeam CT in the 1980s focused on …

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 …

Scatter correction of cone-beam CT using a deep residual convolution neural network (DRCNN)

Y Jiang, C Yang, P Yang, X Hu, C Luo… - Physics in Medicine …, 2019 - iopscience.iop.org
Scatter correction is an essential technique to improve the image quality of cone-beam CT
(CBCT). Although different scatter correction methods have been proposed in the literature …

A residual dense network assisted sparse view reconstruction for breast computed tomography

Z Fu, HW Tseng, S Vedantham, A Karellas, A Bilgin - scientific reports, 2020 - nature.com
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 …

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 …

Deep learning for x‐ray scatter correction in dedicated breast CT

JJ Pautasso, M Caballo, M Mikerov, JM Boone… - Medical …, 2023 - Wiley Online Library
Background Accurate correction of x‐ray scatter in dedicated breast computed tomography
(bCT) imaging may result in improved visual interpretation and is crucial to achieve …

A novel hardware duo of beam modulation and shielding to reduce scatter acquisition and dose in cone‐beam breast CT

P Ghazi, S Youssefian, T Ghazi - Medical physics, 2022 - Wiley Online Library
Purpose In cone‐beam breast CT, scattered photons form a large portion of the acquired
signal, adversely impacting image quality throughout the frequency response of the imaging …

Shading artifact correction in breast CT using an interleaved deep learning segmentation and maximum‐likelihood polynomial fitting approach

P Ghazi, AM Hernandez, C Abbey, K Yang… - Medical …, 2019 - Wiley Online Library
Purpose The purpose of this work was twofold:(a) To provide a robust and accurate method
for image segmentation of dedicated breast CT (bCT) volume data sets, and (b) to improve …

Scatter correction for a clinical cone‐beam CT system using an optimized stationary beam blocker in a single scan

X Liang, Y Jiang, W Zhao, Z Zhang, C Luo… - Medical …, 2019 - Wiley Online Library
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 …