Motion estimation and correction in SPECT, PET and CT
Patient motion impacts single photon emission computed tomography (SPECT), positron
emission tomography (PET) and x-ray computed tomography (CT) by giving rise to …
emission tomography (PET) and x-ray computed tomography (CT) by giving rise to …
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 …
SPARE: Sparse‐view reconstruction challenge for 4D cone‐beam CT from a 1‐min scan
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 …
requires a 3–4 min full‐fan scan to ensure usable image quality. Recent advancements in …
Augmentation of CBCT reconstructed from under-sampled projections using deep learning
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 …
In this paper, symmetric residual convolutional neural network (SR-CNN), a deep learning …
Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study
Due to the inter-and intra-variation of respiratory motion, it is highly desired to provide real-
time volumetric images during the treatment delivery of lung stereotactic body radiation …
time volumetric images during the treatment delivery of lung stereotactic body radiation …
Four-dimensional cone beam ct imaging using a single routine scan via deep learning
A novel method is proposed to obtain four-dimensional (4D) cone-beam computed
tomography (CBCT) images from a routine scan in patients with upper abdominal cancer …
tomography (CBCT) images from a routine scan in patients with upper abdominal cancer …
Deep learning‐based motion compensation for four‐dimensional cone‐beam computed tomography (4D‐CBCT) reconstruction
Abstract Background Motion‐compensated (MoCo) reconstruction shows great promise in
improving four‐dimensional cone‐beam computed tomography (4D‐CBCT) image quality …
improving four‐dimensional cone‐beam computed tomography (4D‐CBCT) image quality …
[HTML][HTML] 4D-Precise: Learning-based 3D motion estimation and high temporal resolution 4DCT reconstruction from treatment 2D+ t X-ray projections
Abstract Background and Objective In radiotherapy treatment planning, respiration-induced
motion introduces uncertainty that, if not appropriately considered, could result in dose …
motion introduces uncertainty that, if not appropriately considered, could result in dose …
PRIOR: Prior-regularized iterative optimization reconstruction for 4D CBCT
4D cone-beam computed tomography (CBCT) is an important imaging modality in image-
guided radiation therapy to address the motion-induced artifacts caused by organ …
guided radiation therapy to address the motion-induced artifacts caused by organ …
An unsupervised 2D–3D deformable registration network (2D3D-RegNet) for cone-beam CT estimation
Y Zhang - Physics in Medicine & Biology, 2021 - iopscience.iop.org
Acquiring CBCTs from a limited scan angle can help to reduce the imaging time, save the
imaging dose, and allow continuous target localizations through arc-based treatments with …
imaging dose, and allow continuous target localizations through arc-based treatments with …