Structure-adaptive CBCT reconstruction using weighted total variation and Hessian penalties
The exposure of normal tissues to high radiation during cone-beam CT (CBCT) imaging
increases the risk of cancer and genetic defects. Statistical iterative algorithms with the total …
increases the risk of cancer and genetic defects. Statistical iterative algorithms with the total …
CBCT reconstruction via a penalty combining total variation and its higher-degree term
Penalized weighted least-squares (PWLS) iterative algorithm with a total variation penalty
(PWLS-TV) has shown potential to improve cone-beam CT (CBCT) image quality …
(PWLS-TV) has shown potential to improve cone-beam CT (CBCT) image quality …
Hessian Schatten-norm regularization for CBCT image reconstruction using fast iterative shrinkage-thresholding algorithm
X Li, J Wang, S Tan - Medical Imaging 2015: Physics of …, 2015 - spiedigitallibrary.org
Statistical iterative reconstruction in Cone-beam computed tomography (CBCT) uses prior
knowledge to form different kinds of regularization terms. The total variation (TV) …
knowledge to form different kinds of regularization terms. The total variation (TV) …
Iterative CBCT reconstruction using Hessian penalty
Statistical iterative reconstruction algorithms have shown potential to improve cone-beam
CT (CBCT) image quality. Most iterative reconstruction algorithms utilize prior knowledge as …
CT (CBCT) image quality. Most iterative reconstruction algorithms utilize prior knowledge as …
Statistical iterative CBCT reconstruction based on neural network
B Chen, K Xiang, Z Gong, J Wang… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Cone-beam computed tomography (CBCT) plays an important role in radiation therapy.
Statistical iterative reconstruction (SIR) algorithms with specially designed penalty terms …
Statistical iterative reconstruction (SIR) algorithms with specially designed penalty terms …
Low-dose CT reconstruction via edge-preserving total variation regularization
High radiation dose in computed tomography (CT) scans increases the lifetime risk of cancer
and has become a major clinical concern. Recently, iterative reconstruction algorithms with …
and has become a major clinical concern. Recently, iterative reconstruction algorithms with …
Low-dose CBCT reconstruction using Hessian Schatten penalties
L Liu, X Li, K Xiang, J Wang… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Cone-beam computed tomography (CBCT) has been widely used in radiation therapy. For
accurate patient setup and treatment target localization, it is important to obtain high-quality …
accurate patient setup and treatment target localization, it is important to obtain high-quality …
Shading correction assisted iterative cone-beam CT reconstruction
Recent advances in total variation (TV) technology enable accurate CT image reconstruction
from highly under-sampled and noisy projection data. The standard iterative reconstruction …
from highly under-sampled and noisy projection data. The standard iterative reconstruction …
Iterative image reconstruction for CBCT using edge‐preserving prior
J Wang, T Li, L Xing - Medical physics, 2009 - Wiley Online Library
On‐board cone‐beam computed tomography (CBCT) is a new imaging technique for
radiation therapy guidance, which provides volumetric information of a patient at treatment …
radiation therapy guidance, which provides volumetric information of a patient at treatment …
Parameter selection in limited data cone-beam CT reconstruction using edge-preserving total variation algorithms
There are a number of powerful total variation (TV) regularization methods that have great
promise in limited data cone-beam CT reconstruction with an enhancement of image quality …
promise in limited data cone-beam CT reconstruction with an enhancement of image quality …