Adaptive proton therapy

H Paganetti, P Botas, GC Sharp… - Physics in Medicine & …, 2021 - iopscience.iop.org
Radiation therapy treatments are typically planned based on a single image set, assuming
that the patient's anatomy and its position relative to the delivery system remains constant …

Deep learning methods for enhancing cone‐beam CT image quality toward adaptive radiation therapy: A systematic review

B Rusanov, GM Hassan, M Reynolds, M Sabet… - Medical …, 2022 - Wiley Online Library
The use of deep learning (DL) to improve cone‐beam CT (CBCT) image quality has gained
popularity as computational resources and algorithmic sophistication have advanced in …

CBCT correction using a cycle-consistent generative adversarial network and unpaired training to enable photon and proton dose calculation

C Kurz, M Maspero, MHF Savenije… - Physics in Medicine …, 2019 - iopscience.iop.org
In presence of inter-fractional anatomical changes, clinical benefits are anticipated from
image-guided adaptive radiotherapy. Nowadays, cone-beam CT (CBCT) imaging is mostly …

[HTML][HTML] Cone beam computed tomography image quality improvement using a deep convolutional neural network

S Kida, T Nakamoto, M Nakano, K Nawa, A Haga… - Cureus, 2018 - ncbi.nlm.nih.gov
Methods CBCT and planning computed tomography (pCT) image pairs from 20 prostate
cancer patients were selected. Subsequently, each pCT volume was pre-aligned to the …

ScatterNet: a convolutional neural network for cone‐beam CT intensity correction

DC Hansen, G Landry, F Kamp, M Li, C Belka… - Medical …, 2018 - Wiley Online Library
Purpose To demonstrate a proof‐of‐concept for fast cone‐beam CT (CBCT) intensity
correction in projection space by the use of deep learning. Methods The CBCT scans and …

Comparison of CBCT based synthetic CT methods suitable for proton dose calculations in adaptive proton therapy

A Thummerer, P Zaffino, A Meijers… - Physics in Medicine …, 2020 - iopscience.iop.org
In-room imaging is a prerequisite for adaptive proton therapy. The use of onboard cone-
beam computed tomography (CBCT) imaging, which is routinely acquired for patient …

A review of dose calculation approaches with cone beam CT in photon and proton therapy

V Giacometti, AR Hounsell, CK McGarry - Physica Medica, 2020 - Elsevier
Background and purpose The use of cone beam computed tomography (CBCT) for
performing dose calculations in radiation therapy has been widely investigated as it could …

Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy

L Gao, K Xie, X Wu, Z Lu, C Li, J Sun, T Lin, J Sui… - Radiation Oncology, 2021 - Springer
Objective To develop high-quality synthetic CT (sCT) generation method from low-dose
cone-beam CT (CBCT) images by using attention-guided generative adversarial networks …

Iterative image‐domain decomposition for dual‐energy CT

T Niu, X Dong, M Petrongolo, L Zhu - Medical physics, 2014 - Wiley Online Library
Purpose: Dual energy CT (DECT) imaging plays an important role in advanced imaging
applications due to its capability of material decomposition. Direct decomposition via matrix …

Proton dose calculation on scatter‐corrected CBCT image: feasibility study for adaptive proton therapy

YK Park, GC Sharp, J Phillips, BA Winey - Medical physics, 2015 - Wiley Online Library
Purpose: To demonstrate the feasibility of proton dose calculation on scatter‐corrected cone‐
beam computed tomographic (CBCT) images for the purpose of adaptive proton therapy …