Results 161 to 170 of about 4,374,982 (417)

Automated evaluation for rapid implementation of knowledge-based radiotherapy planning models. [PDF]

J Appl Clin Med Phys, 2023
Harms J, Pogue JA, Cardenas CE, Stanley DN, Cardan R, Popple R.   +5 more
europepmc   +1 more source

Quantification of the Plan Aperture Modulation of Radiotherapy Treatment Plans [PDF]

arXiv
This study introduces a novel metric, Plan Aperture Modulation (PAM), developed to quantify the modulation of radiotherapy treatment plans. PAM aims to provide a clear geometric interpretation, addressing the limitations of previous complexity metrics and facilitating its integration into treatment planning systems (TPSs) and clinical workflows.
arxiv  

Commissioning of Halcyon enhanced leaf model in the Eclipse treatment planning system: Focus on simple slit fields and VMAT dose calculation

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The dual‐layer multileaf collimator (MLC) in Halcyon adds complexities to the dose calculation process owing to the variability of dosimetric characteristics with leaf motion. Recently, an enhanced leaf model (ELM) was developed to refine the MLC model in the Eclipse treatment planning system. This study investigates the performance of
Ryohei Miyasaka, Mari Shirai, Mitsunobu Igari, Yume Kojima, Yuki Kozawa, Toru Kawachi, Ryusuke Hara   +6 more
wiley   +1 more source

Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy [PDF]

arXiv
Deep learning-based automated contouring and treatment planning has been proven to improve the efficiency and accuracy of radiotherapy. However, conventional radiotherapy treatment planning process has the automated contouring and treatment planning as separate tasks.
arxiv  

Intensity modulated radiation therapy and arc therapy: validation and evolution as applied to tumours of the head and neck, abdominal and pelvic regions [PDF]

, 2006
Intensiteitsgemoduleerde radiotherapie (IMRT) laat een betere controle over de dosisdistributie (DD) toe dan meer conventionele bestralingstechnieken. Zo is het met IMRT mogelijk om concave DDs te bereiken en om de risico-organen conformeel uit te sparen.
Duthoy, W
core  

Stereotactic radiotherapy for metastatic brain tumors: A comparative analysis of dose distributions among VMAT, Helical TomoTherapy, CyberKnife, Gamma Knife, and ZAP‐X

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract This study evaluates various radiotherapy techniques for treating metastatic brain tumor (BT), focusing on non‐coplanar volumetric modulated arc radiotherapy (NC‐VMAT), coplanar VMAT (C‐VMAT), Helical TomoTherapy (HT), CyberKnife (CK), Gamma Knife (GK), and ZAP‐X.
Toshihiro Suzuki, Masahide Saito, Ryutaro Nomura, Hikaru Nemoto, Naoto Yanagisawa, Ryuma Sawada, Zennosuke Mochizuki, Naoki Sano, Hiroshi Onishi, Hiroshi Takahashi   +9 more
wiley   +1 more source

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg, Nienke L. M. Bakx, Coen W. Hurkmans   +2 more
wiley   +1 more source

Benefits and considerations in using a novel computed tomography system optimized for radiotherapy planning. [PDF]

Phys Imaging Radiat Oncol, 2023
Grohmann M, Petersen C, Todorovic M.
europepmc   +1 more source

LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset [PDF]

arXiv
Radiotherapy treatment for prostate cancer relies on computed tomography (CT) and/or magnetic resonance imaging (MRI) for segmentation of target volumes and organs at risk (OARs). Manual segmentation of these volumes is regarded as the gold standard for ground truth in machine learning applications but to acquire such data is tedious and time-consuming.
arxiv  

Dose rate correction of a diode array for universal wedge field dosimetric verification

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To study the performance of MapCHECK 3 (MC3) in measuring universal wedge fields and propose a dose rate correction strategy to improve MC3 measurement accuracy. Materials and methods Universal wedge fields with different wedge angles and field sizes were measured at different depths using MC3.
Linyi Shen, Mengyang Li, Guiyuan Li, Xinyuan Chen, Shouping Xu, Jianrong Dai, Yuan Tian   +6 more
wiley   +1 more source