A review of GPU-based medical image reconstruction

P Després, X Jia - Physica Medica, 2017 - Elsevier
Tomographic image reconstruction is a computationally demanding task, even more so
when advanced models are used to describe a more complete and accurate picture of the …

A review on 4D cone‐beam CT (4D‐CBCT) in radiation therapy: Technical advances and clinical applications

Y Zhang, Z Jiang, Y Zhang, L Ren - Medical physics, 2024 - Wiley Online Library
Cone‐beam CT (CBCT) is the most commonly used onboard imaging technique for target
localization in radiation therapy. Conventional 3D CBCT acquires x‐ray cone‐beam …

Augmentation of CBCT reconstructed from under-sampled projections using deep learning

Z Jiang, Y Chen, Y Zhang, Y Ge… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Edges tend to be over-smoothed in total variation (TV) regularized under-sampled images.
In this paper, symmetric residual convolutional neural network (SR-CNN), a deep learning …

SPARE: Sparse‐view reconstruction challenge for 4D cone‐beam CT from a 1‐min scan

CC Shieh, Y Gonzalez, B Li, X Jia, S Rit… - Medical …, 2019 - Wiley Online Library
Purpose Currently, four‐dimensional (4D) cone‐beam computed tomography (CBCT)
requires a 3–4 min full‐fan scan to ensure usable image quality. Recent advancements in …

Deep learning–based 4D‐synthetic CTs from sparse‐view CBCTs for dose calculations in adaptive proton therapy

A Thummerer, C Seller Oria, P Zaffino, S Visser… - Medical …, 2022 - Wiley Online Library
Background Time‐resolved 4D cone beam–computed tomography (4D‐CBCT) allows a
daily assessment of patient anatomy and respiratory motion. However, 4D‐CBCTs suffer …

[HTML][HTML] Structure-preserving quality improvement of cone beam CT images using contrastive learning

SR Kang, W Shin, S Yang, JE Kim, KH Huh… - Computers in Biology …, 2023 - Elsevier
Cone-beam CT (CBCT) is widely used in dental clinics but exhibits limitations in assessing
soft tissue pathology because of its lack of contrast resolution and low Hounsfield Units (HU) …

A modern review of the uncertainties in volumetric imaging of respiratory‐induced target motion in lung radiotherapy

I Vergalasova, J Cai - Medical physics, 2020 - Wiley Online Library
Radiotherapy has become a critical component for the treatment of all stages and types of
lung cancer, often times being the primary gateway to a cure. However, given that radiation …

Surrogate-driven respiratory motion model for projection-resolved motion estimation and motion compensated cone-beam CT reconstruction from unsorted projection …

Y Huang, K Thielemans, G Price… - Physics in Medicine & …, 2024 - iopscience.iop.org
Objective. As the most common solution to motion artefact for cone-beam CT (CBCT) in
radiotherapy, 4DCBCT suffers from long acquisition time and phase sorting error. This issue …

[HTML][HTML] ScatterNet for projection-based 4D cone-beam computed tomography intensity correction of lung cancer patients

H Schmitz, A Thummerer, M Kawula… - Physics and Imaging in …, 2023 - Elsevier
Background and purpose: In radiotherapy, dose calculations based on 4D cone beam CTs
(4DCBCTs) require image intensity corrections. This retrospective study compared the dose …

4D-AirNet: a temporally-resolved CBCT slice reconstruction method synergizing analytical and iterative method with deep learning

G Chen, Y Zhao, Q Huang, H Gao - Physics in Medicine & …, 2020 - iopscience.iop.org
Abstract Four-dimensional (4D) cone-beam CT (CBCT) reconstructs temporally-resolved
phases of 3D volumes often with the same amount of projection data that are meant for …