Adaptive radiotherapy for anatomical changes
The anatomy of cancer patients changes between radiation treatment planning and delivery
as well as over the course of radiotherapy. Adaptive radiotherapy (ART) aims to deliver …
as well as over the course of radiotherapy. Adaptive radiotherapy (ART) aims to deliver …
Advancing the Collaboration Between Imaging and Radiation Oncology
The fusion of cutting-edge imaging technologies with radiation therapy (RT) has catalyzed
transformative breakthroughs in cancer treatment in recent decades. It is critical for us to …
transformative breakthroughs in cancer treatment in recent decades. It is critical for us to …
Rodeo: robust de-aliasing autoencoder for real-time medical image reconstruction
J Mehta, A Majumdar - Pattern Recognition, 2017 - Elsevier
In this work we address the problem of real-time dynamic medical (MRI and X-Ray CT)
image reconstruction from parsimonious samples (Fourier frequency space for MRI and …
image reconstruction from parsimonious samples (Fourier frequency space for MRI and …
Non-local total-variation (NLTV) minimization combined with reweighted L1-norm for compressed sensing CT reconstruction
The compressed sensing (CS) technique has been employed to reconstruct CT/CBCT
images from fewer projections as it is designed to recover a sparse signal from highly under …
images from fewer projections as it is designed to recover a sparse signal from highly under …
Extracting information from previous full-dose CT scan for knowledge-based Bayesian reconstruction of current low-dose CT images
Markov random field (MRF) model has been widely employed in edge-preserving regional
noise smoothing penalty to reconstruct piece-wise smooth images in the presence of noise …
noise smoothing penalty to reconstruct piece-wise smooth images in the presence of noise …
[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 …
Iterative image reconstruction for sparse-view CT using normal-dose image induced total variation prior
X-ray computed tomography (CT) iterative image reconstruction from sparse-view projection
data has been an important research topic for radiation reduction in clinic. In this paper, to …
data has been an important research topic for radiation reduction in clinic. In this paper, to …
Optimization-based image reconstruction from sparse-view data in offset-detector CBCT
The field of view (FOV) of a cone-beam computed tomography (CBCT) unit in a single-
photon emission computed tomography (SPECT)/CBCT system can be increased by …
photon emission computed tomography (SPECT)/CBCT system can be increased by …
[HTML][HTML] Self-supervised inter-and intra-slice correlation learning for low-dose CT image restoration without ground truth
K Choi, JS Lim, S Kim - Expert Systems with Applications, 2022 - Elsevier
Training a convolutional neural network (CNN) to reduce noise in low-dose CT (LDCT)
images typically relies on supervised learning, which requires input–target pairs of noisy …
images typically relies on supervised learning, which requires input–target pairs of noisy …
Combining physics‐based models with deep learning image synthesis and uncertainty in intraoperative cone‐beam CT of the brain
Background Image‐guided neurosurgery requires high localization and registration
accuracy to enable effective treatment and avoid complications. However, accurate …
accuracy to enable effective treatment and avoid complications. However, accurate …