A review on 4D cone‐beam CT (4D‐CBCT) in radiation therapy: Technical advances and clinical applications
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 …
localization in radiation therapy. Conventional 3D CBCT acquires x‐ray cone‐beam …
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 …
lung cancer, often times being the primary gateway to a cure. However, given that radiation …
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 …
A practical and robust method for beam blocker-based cone beam CT scatter correction
H Cui, X Jiang, W Tang, HM Lu… - Physics in Medicine & …, 2023 - iopscience.iop.org
Objective. In the traditional beam-blocker based cone beam CT (CBCT) scatter correction,
the scatter measured in the region shaded by lead strips was multiplied by a correction …
the scatter measured in the region shaded by lead strips was multiplied by a correction …
Dynamic CBCT imaging using prior model-free spatiotemporal implicit neural representation (PMF-STINR)
HC Shao, T Mengke, T Pan… - Physics in Medicine & …, 2024 - iopscience.iop.org
Objective. Dynamic cone-beam computed tomography (CBCT) can capture high-spatial-
resolution, time-varying images for motion monitoring, patient setup, and adaptive planning …
resolution, time-varying images for motion monitoring, patient setup, and adaptive planning …
General simultaneous motion estimation and image reconstruction (G-SMEIR)
To achieve better performance for 4D multi-frame reconstruction with the parametric motion
model (MF-PMM), a general simultaneous motion estimation and image reconstruction (G …
model (MF-PMM), a general simultaneous motion estimation and image reconstruction (G …
[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 …
A weighted rebinned backprojection‐filtration algorithm from partially beam‐blocked data for a single‐scan cone‐beam CT with hybrid type scatter correction
Purpose Scatter contamination constitutes a dominant source of degradation of image
quality in cone‐beam computed tomography (CBCT). We have recently developed an …
quality in cone‐beam computed tomography (CBCT). We have recently developed an …
Breast cancer patient auto-setup using residual neural network for CT-guided therapy
C Liu, C Liu, F Lv, K Zhong, H Yu - IEEE Access, 2020 - ieeexplore.ieee.org
Patient setup will influence the treatment of the breast cancer in radiation therapy. Improving
the accuracy of the tumor target localization is vital for the cancer treatment. In this study, we …
the accuracy of the tumor target localization is vital for the cancer treatment. In this study, we …
PURSUIT OF ULTIMATE TOMOGRAPHIC IMAGE QUALITY: FROM CLASSICAL METHODS TO DEEP LEARNING
S Zhou - 2023 - mavmatrix.uta.edu
Medical imaging plays a crucial role in modern healthcare, serving as a vital component in
the realms of diagnosis and treatment. It encompasses a broad spectrum of techniques and …
the realms of diagnosis and treatment. It encompasses a broad spectrum of techniques and …