The comprehensive imaging-based analysis of the lung: A forum for team science1
EA Hoffman, AV Clough, GE Christensen… - Academic …, 2004 - academicradiology.org
Fundamentally important to the future of pulmonary medicine is a better description and
understanding of the human lung and its response to disease, injury, and treatment, which is …
understanding of the human lung and its response to disease, injury, and treatment, which is …
Deep learning-based computed tomography perfusion mapping (DL-CTPM) for pulmonary CT-to-perfusion translation
Purpose Our purpose was to develop a deep learning–based computed tomography (CT)
perfusion mapping (DL-CTPM) method that synthesizes lung perfusion images from CT …
perfusion mapping (DL-CTPM) method that synthesizes lung perfusion images from CT …
[HTML][HTML] Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy
Functional lung avoidance radiation therapy aims to minimize dose delivery to the normal
lung tissue while favoring dose deposition in the defective lung tissue based on the regional …
lung tissue while favoring dose deposition in the defective lung tissue based on the regional …
CT ventilation imaging derived from breath hold CT exhibits good regional accuracy with Galligas PET
EM Eslick, J Kipritidis, D Gradinscak, MJ Stevens… - Radiotherapy and …, 2018 - Elsevier
Background and purpose CT ventilation imaging (CTVI) derived from four dimensional CT
(4DCT) has shown only moderate spatial accuracy in humans due to 4DCT image artefacts …
(4DCT) has shown only moderate spatial accuracy in humans due to 4DCT image artefacts …
Quantification of lung function on CT images based on pulmonary radiomic filtering
Purpose To develop a radiomics filtering technique for characterizing spatial‐encoded
regional pulmonary ventilation information on lung computed tomography (CT). Methods …
regional pulmonary ventilation information on lung computed tomography (CT). Methods …
Deriving lung perfusion directly from CT image using deep Convolutional neural network: a preliminary study
Functional avoidance radiation therapy for lung cancer patients aims to limit dose delivery to
highly functional lung. However, the clinical functional imaging suffers from many …
highly functional lung. However, the clinical functional imaging suffers from many …
[图书][B] Imaging of the airways: functional and radiologic correlations
DP Naidich - 2005 - books.google.com
Written by recognized authorities on thoracic imaging, this volume is the first to examine all
modalities—both noninvasive and invasive—for visualizing the airways. Emphasis is placed …
modalities—both noninvasive and invasive—for visualizing the airways. Emphasis is placed …
Computed tomography based lung function mapping using deep learning for functional lung avoidance radiation therapy
G Ren - 2021 - theses.lib.polyu.edu.hk
Background: Functional lung avoidance radiation therapy (FLART) is an emerging
technique that selectively minimizes dose delivery to the high functional lung while favoring …
technique that selectively minimizes dose delivery to the high functional lung while favoring …
[PDF][PDF] Cheung AL-y, Ho Wy, Qin J and Cai J (2021) Investigation of a Novel Deep Learning-Based Computed Tomography Perfusion Mapping Framework for …
G Ren, L Sk, J Zhang, H Xiao - Oncol, 2021 - academia.edu
Functional lung avoidance radiation therapy aims to minimize dose delivery to the normal
lung tissue while favoring dose deposition in the defective lung tissue based on the regional …
lung tissue while favoring dose deposition in the defective lung tissue based on the regional …
Functional airway imaging methods
JG Goldin - CT of the Airways, 2008 - Springer
The techniques for CT evaluation of the airway are directed at improving both the detection
and measurement of structural changes as well as providing quantitative measures of …
and measurement of structural changes as well as providing quantitative measures of …