Modelling the physics in the iterative reconstruction for transmission computed tomography

J Nuyts, B De Man, JA Fessler… - Physics in Medicine …, 2013 - iopscience.iop.org
There is an increasing interest in iterative reconstruction (IR) as a key tool to improve quality
and increase applicability of x-ray CT imaging. IR has the ability to significantly reduce …

Image reconstruction and scan configurations enabled by optimization-based algorithms in multispectral CT

B Chen, Z Zhang, EY Sidky, D Xia… - Physics in Medicine & …, 2017 - iopscience.iop.org
Optimization-based algorithms for image reconstruction in multispectral (or photon-counting)
computed tomography (MCT) remains a topic of active research. The challenge of …

Acuros CTS: A fast, linear Boltzmann transport equation solver for computed tomography scatter–Part I: Core algorithms and validation

A Maslowski, A Wang, M Sun, T Wareing… - Medical …, 2018 - Wiley Online Library
Purpose To describe Acuros® CTS, a new software tool for rapidly and accurately estimating
scatter in x‐ray projection images by deterministically solving the linear Boltzmann transport …

Simultaneous motion estimation and image reconstruction (SMEIR) for 4D cone‐beam CT

J Wang, X Gu - Medical physics, 2013 - Wiley Online Library
Purpose: Image reconstruction and motion model estimation in four‐dimensional cone‐
beam CT (4D‐CBCT) are conventionally handled as two sequential steps. Due to the limited …

Scatter artifacts removal using learning-based method for CBCT in IGRT system

S Xie, C Yang, Z Zhang, H Li - Ieee Access, 2018 - ieeexplore.ieee.org
Cone-beam-computed tomography (CBCT) has shown enormous potential in recent years,
but it is limited by severe scatter artifacts. This paper proposes a scatter-correction algorithm …

A model‐based scatter artifacts correction for cone beam CT

W Zhao, D Vernekohl, J Zhu, L Wang, L Xing - Medical physics, 2016 - Wiley Online Library
Purpose: Due to the increased axial coverage of multislice computed tomography (CT) and
the introduction of flat detectors, the size of x‐ray illumination fields has grown dramatically …

Self-supervised learning for CT image denoising and reconstruction: a review

K Choi - Biomedical Engineering Letters, 2024 - Springer
This article reviews the self-supervised learning methods for CT image denoising and
reconstruction. Currently, deep learning has become a dominant tool in medical imaging as …

Patient-specific scatter correction for flat-panel detector-based cone-beam CT imaging

W Zhao, S Brunner, K Niu, S Schafer… - Physics in Medicine …, 2015 - iopscience.iop.org
A patient-specific scatter correction algorithm is proposed to mitigate scatter artefacts in cone-
beam CT (CBCT). The approach belongs to the category of convolution-based methods in …

Adaptive radiotherapy with an average anatomy model: evaluation and quantification of residual deformations in head and neck cancer patients

S Van Kranen, A Mencarelli, S van Beek… - Radiotherapy and …, 2013 - Elsevier
Background and purpose To develop and validate an adaptive intervention strategy for
radiotherapy of head-and-neck cancer that accounts for systematic deformations by …

A moving blocker system for cone‐beam computed tomography scatter correction

L Ouyang, K Song, J Wang - Medical physics, 2013 - Wiley Online Library
Purpose: Scatter contamination in cone‐beam computed tomography (CBCT) degrades the
image quality by introducing shading artifacts. A moving‐blocker‐based approach has been …