GPU-based high-performance computing for radiation therapy
Recent developments in radiotherapy therapy demand high computation powers to solve
challenging problems in a timely fashion in a clinical environment. The graphics processing …
challenging problems in a timely fashion in a clinical environment. The graphics processing …
[HTML][HTML] A single neural network for cone-beam computed tomography-based radiotherapy of head-and-neck, lung and breast cancer
M Maspero, AC Houweling, MHF Savenije… - Physics and imaging in …, 2020 - Elsevier
Background and purpose Adaptive radiotherapy based on cone-beam computed
tomography (CBCT) requires high CT number accuracy to ensure accurate dose …
tomography (CBCT) requires high CT number accuracy to ensure accurate dose …
Investigating CT to CBCT image registration for head and neck proton therapy as a tool for daily dose recalculation
Purpose: Intensity modulated proton therapy (IMPT) of head and neck (H&N) cancer patients
may be improved by plan adaptation. The decision to adapt the treatment plan based on a …
may be improved by plan adaptation. The decision to adapt the treatment plan based on a …
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration
Multimodal image registration has many applications in diagnostic medical imaging and
image-guided interventions, such as Transcatheter Arterial Chemoembolization (TACE) of …
image-guided interventions, such as Transcatheter Arterial Chemoembolization (TACE) of …
An unsupervised convolutional neural network-based algorithm for deformable image registration
V Kearney, S Haaf, A Sudhyadhom… - Physics in Medicine …, 2018 - iopscience.iop.org
The purpose of the work is to develop a deep unsupervised learning strategy for cone-beam
CT (CBCT) to CT deformable image registration (DIR). This technique uses a deep …
CT (CBCT) to CT deformable image registration (DIR). This technique uses a deep …
Joint synthesis and registration network for deformable MR-CBCT image registration for neurosurgical guidance
Objective. The accuracy of navigation in minimally invasive neurosurgery is often
challenged by deep brain deformations (up to 10 mm due to egress of cerebrospinal fluid …
challenged by deep brain deformations (up to 10 mm due to egress of cerebrospinal fluid …
Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images
Background Intensity modulated proton therapy (IMPT) of head and neck (H&N) tumors may
benefit from plan adaptation to correct for the dose perturbations caused by weight loss and …
benefit from plan adaptation to correct for the dose perturbations caused by weight loss and …
An optimized framework for cone‐beam computed tomography‐based online evaluation for proton therapy
CW Chang, R Nilsson, S Andersson… - Medical …, 2023 - Wiley Online Library
Background Clinical evidence has demonstrated that proton therapy can achieve
comparable tumor control probabilities compared to conventional photon therapy but with …
comparable tumor control probabilities compared to conventional photon therapy but with …
Comprehensive evaluation of ten deformable image registration algorithms for contour propagation between CT and cone-beam CT images in adaptive head & neck …
Deformable image registration (DIR) is a critical technic in adaptive radiotherapy (ART) for
propagating contours between planning computerized tomography (CT) images and …
propagating contours between planning computerized tomography (CT) images and …
Phantom based evaluation of CT to CBCT image registration for proton therapy dose recalculation
The ability to perform dose recalculation on the anatomy of the day is important in the
context of adaptive proton therapy. The objective of this study was to investigate the use of …
context of adaptive proton therapy. The objective of this study was to investigate the use of …