A deep learning model for translating CT to ventilation imaging: analysis of accuracy and impact on functional avoidance radiotherapy planning

Z Hou, Y Kong, J Wu, J Gu, J Liu, S Gao, Y Yin… - Japanese Journal of …, 2024 - Springer
Purpose Radiotherapy planning incorporating functional lung images has the potential to
reduce pulmonary toxicity. Free-breathing 4DCT-derived ventilation image (CTVI) may help …

Investigating the use of machine learning to generate ventilation images from CT scans

J Grover, HL Byrne, Y Sun, J Kipritidis… - Medical physics, 2022 - Wiley Online Library
Background Radiotherapy treatment planning incorporating ventilation imaging can reduce
the incidence of radiation‐induced lung injury. The gold‐standard of ventilation imaging …

Generation of virtual lung single‐photon emission computed tomography/CT fusion images for functional avoidance radiotherapy planning using machine learning …

BS Jang, JH Chang, AJ Park… - Journal of medical …, 2019 - Wiley Online Library
Introduction Functional image‐guided radiotherapy (RT) planning for normal lung avoidance
has recently been introduced. Single‐photon emission computed tomography (SPECT)/CT …

[HTML][HTML] A novel lung-avoidance planning strategy based on 4DCT ventilation imaging and CT density characteristics for stage III non-small-cell lung cancer patients

AH Feng, Y Shao, H Wang, H Chen, HL Gu… - Strahlentherapie und …, 2021 - Springer
Background Functional planning based merely on 4DCT ventilation imaging has limitations.
In this study, we proposed a radiotherapy planning strategy based on 4DCT ventilation …

Systematic Evaluation of the Impact of Lung Segmentation Methods on 4-Dimensional Computed Tomography Ventilation Imaging Using a Large Patient Database

Y Chen, SH Pahlavian, P Jacobs, T Neupane… - International Journal of …, 2024 - Elsevier
Purpose A novel form of lung functional imaging applied for functional avoidance radiation
therapy has been developed that uses 4-dimensional computed tomography (4DCT) data …

Systematic evaluation of the impact of lung segmentation methods on 4DCT-ventilation imaging using a large patient database.

Y Chen, SH Pahlavian, P Jacobs… - … Journal of Radiation …, 2023 - europepmc.org
Purpose A novel form of lung functional imaging applied for functional avoidance
radiotherapy has been developed that uses 4DCT data and image processing techniques to …

A deep learning method for producing ventilation images from 4DCT: First comparison with technegas SPECT ventilation

Z Liu, J Miao, P Huang, W Wang, X Wang… - Medical …, 2020 - Wiley Online Library
Purpose The purpose of this study is to develop a deep learning (DL) method for producing
four‐dimensional computed tomography (4DCT) ventilation imaging and to evaluate the …

[HTML][HTML] Evaluation of lung toxicity risk with computed tomography ventilation image for thoracic cancer patients

M Otsuka, H Monzen, K Matsumoto, M Tamura… - PLoS …, 2018 - journals.plos.org
Background Four-dimensional computed tomography (4D-CT) ventilation is an emerging
imaging modality. Functional avoidance of regions according to 4D-CT ventilation may …

[HTML][HTML] Deriving pulmonary ventilation images from clinical 4D-CBCT using a deep learning-based model

Z Liu, Y Tian, J Miao, K Men, W Wang, X Wang… - Frontiers in …, 2022 - frontiersin.org
Purpose The current algorithms for measuring ventilation images from 4D cone-beam
computed tomography (CBCT) are affected by the accuracy of deformable image registration …

Synthetic pulmonary perfusion images from 4DCT for functional avoidance using deep learning

EM Porter, NK Myziuk, TJ Quinn… - Physics in Medicine …, 2021 - iopscience.iop.org
Purpose. To develop and evaluate the performance of a deep learning model to generate
synthetic pulmonary perfusion images from clinical 4DCT images for patients undergoing …