Registration-based lung mechanical analysis of chronic obstructive pulmonary disease (COPD) using a supervised machine learning framework
RATIONALE AND OBJECTIVES: This study evaluated the performance of computed
tomography (CT)-derived biomechanical based features of lung function and the presence …
tomography (CT)-derived biomechanical based features of lung function and the presence …
Biomechanical CT metrics are associated with patient outcomes in COPD
Background Traditional metrics of lung disease such as those derived from spirometry and
static single-volume CT images are used to explain respiratory morbidity in patients with …
static single-volume CT images are used to explain respiratory morbidity in patients with …
CT-derived biomechanical metrics improve agreement between spirometry and emphysema
Rationale and Objectives Many patients with chronic obstructive pulmonary disease (COPD)
have marked discordance between forced expiratory volume in 1 second (FEV 1) and …
have marked discordance between forced expiratory volume in 1 second (FEV 1) and …
Machine Learning Predicts Computed Tomography (CT)-based Normal Regional Lung Function Distribution in Asthma and Chronic Obstructive Pulmonary Disease …
RATIONALE: We aimed to use machine learning algorithms to create a model that predicts
normal lung function distribution on computed tomography (CT)-based lung model …
normal lung function distribution on computed tomography (CT)-based lung model …
Feasibility of deriving a novel imaging biomarker based on patient-specific lung elasticity for characterizing the degree of COPD in lung SBRT patients
Objective: Lung tissue elasticity is an effective spatial representation for Chronic Obstructive
Pulmonary Disease phenotypes and pathophysiology. We investigated a novel imaging …
Pulmonary Disease phenotypes and pathophysiology. We investigated a novel imaging …
Chronic obstructive pulmonary disease: thoracic CT texture analysis and machine learning to predict pulmonary ventilation
Background Fixed airflow limitation and ventilation heterogeneity are common in chronic
obstructive pulmonary disease (COPD). Conventional noncontrast CT provides airway and …
obstructive pulmonary disease (COPD). Conventional noncontrast CT provides airway and …
Comparison of feature selection methods and machine learning classifiers for predicting chronic obstructive pulmonary disease using texture-based CT lung radiomic …
Rationale Texture-based radiomics analysis of lung computed tomography (CT) images has
been shown to predict chronic obstructive pulmonary disease (COPD) status using machine …
been shown to predict chronic obstructive pulmonary disease (COPD) status using machine …
Toward automatic regional analysis of pulmonary function using inspiration and expiration thoracic CT
Purpose: To analyze pulmonary function using a fully automatic technique which processes
pairs of thoracic CT scans acquired at breath‐hold inspiration and expiration, respectively …
pairs of thoracic CT scans acquired at breath‐hold inspiration and expiration, respectively …
[HTML][HTML] A 3D-CNN model with CT-based parametric response mapping for classifying COPD subjects
Chronic obstructive pulmonary disease (COPD) is a respiratory disorder involving
abnormalities of lung parenchymal morphology with different severities. COPD is assessed …
abnormalities of lung parenchymal morphology with different severities. COPD is assessed …
Thoracic CT‐MRI coregistration for regional pulmonary structure–function measurements of obstructive lung disease
Purpose Recent pulmonary imaging research has revealed that in patients with chronic
obstructive pulmonary disease (COPD) and asthma, structural and functional abnormalities …
obstructive pulmonary disease (COPD) and asthma, structural and functional abnormalities …