The Impact of Interstitial Diseases Patterns on Lung CT Segmentation

2021 ◽  
Author(s):  
Francisco Silva ◽  
Tania Pereira ◽  
Joana Morgado ◽  
Antonio Cunha ◽  
Helder P. Oliveira
Keyword(s):  
Ct Segmentation ◽  
The Impact ◽  
Lung Ct

Matrix Patterns Based Active Appearance Models for Lung CT Segmentation

2014 ◽  
Vol 1049-1050 ◽  
pp. 1312-1315
Author(s):  
Yong Li ◽  
Qing Zhu Wang
Keyword(s):  
Appearance Model ◽  
Active Appearance Models ◽  
Shape Model ◽  
New Approach ◽  
Superior Result ◽  
Two Dimensional Image ◽  
Appearance Models ◽  
Active Appearance ◽  
Ct Segmentation ◽  
Lung Ct

Segmentation of diseased lungs in CT images is a nontrivial problem. As Active Appearance Model (AAM) has been applied effectively in this field, we propose a new approach for the construction of traditional AAM to segment the lung fields more accurately and efficiently: Matrixes based AAM (MatAAM). MatAAM is based on two-dimensional image matrixes rather one-dimensional vectors. Its appearance matrix does not need to be transformed into a vector prior to computing the appearance parameter. Instead, a covariance matrix is constructed directly using the normalized appearance matrixes and its eigenvectors are derived for the appearance parameter. The experiment results were compared to other landmark-based methods: Snake, Active Shape Model (ASM), AAM and several modified versions of them. For segmentation of lungs especially diseased lungs, MatAAM performed a superior result in both precision and efficiency.

scholarly journals Lung cancer screening in Appalachian Kentucky: The impact of Lung-RADS on subsequent testing and cancer identification

2019 ◽  
Vol 4 (5) ◽  
pp. 468-471
Author(s):  
Roberto Cardarelli ◽  
Vashisht Madabhushi ◽  
Kacie Bledsoe ◽  
Anthony Weaver
Keyword(s):  
Lung Cancer ◽  
Cancer Screening ◽  
Lung Cancer Screening ◽  
Helical Computed Tomography ◽  
Cancer Screening Trial ◽  
Appalachian Kentucky ◽  
The Impact ◽  
Lung Ct ◽  
Screening Trial ◽  
Unnecessary Testing

AbstractThe National Lung Cancer Screening Trial (NLST) demonstrated the use of low dose helical computed tomography (LDCT) scans for lung cancer screening. However, the NLST was implemented in urban hospitals and prior to the Lung CT Screening Reporting and Data System (Lung-RADS). In this retrospective cohort study, 774 eligible patients received LDCT screening using Lung-RADS criteria. Eighty-four patients (10.9%) had subsequent testing performed compared to 24.2% in the NLST study. Of those with subsequent testing, 21.4% were diagnosed with lung cancer compared to only 4.6% in the NLST study. Lung-RADS significantly reduced unnecessary testing while identifying higher rates of lung cancer compared to the NLST.

scholarly journals Automated Quantitative Lung CT Improves Prognostication in Non-ICU COVID-19 Patients beyond Conventional Biomarkers of Disease

Diagnostics ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2125
Author(s):  
Pierpaolo Palumbo ◽  
Maria Michela Palumbo ◽  
Federico Bruno ◽  
Giovanna Picchi ◽  
Antonio Iacopino ◽  
...  
Keyword(s):  
Disease Progression ◽  
Lung Tissue ◽  
Strong Predictor ◽  
Severe Illness ◽  
P Value ◽  
Lung Weight ◽  
Total Lung Volume ◽  
Disease Stratification ◽  
The Impact ◽  
Lung Ct

(1) Background: COVID-19 continues to represent a worrying pandemic. Despite the high percentage of non-severe illness, a wide clinical variability is often reported in real-world practice. Accurate predictors of disease aggressiveness, however, are still lacking. The purpose of our study was to evaluate the impact of quantitative analysis of lung computed tomography (CT) on non-intensive care unit (ICU) COVID-19 patients’ prognostication; (2) Methods: Our historical prospective study included fifty-five COVID-19 patients consecutively submitted to unenhanced lung CT. Primary outcomes were recorded during hospitalization, including composite ICU admission for the need of mechanical ventilation and/or death occurrence. CT examinations were retrospectively evaluated to automatically calculate differently aerated lung tissues (i.e., overinflated, well-aerated, poorly aerated, and non-aerated tissue). Scores based on the percentage of lung weight and volume were also calculated; (3) Results: Patients who reported disease progression showed lower total lung volume. Inflammatory indices correlated with indices of respiratory failure and high-density areas. Moreover, non-aerated and poorly aerated lung tissue resulted significantly higher in patients with disease progression. Notably, non-aerated lung tissue was independently associated with disease progression (HR: 1.02; p-value: 0.046). When different predictive models including clinical, laboratoristic, and CT findings were analyzed, the best predictive validity was reached by the model that included non-aerated tissue (C-index: 0.97; p-value: 0.0001); (4) Conclusions: Quantitative lung CT offers wide advantages in COVID-19 disease stratification. Non-aerated lung tissue is more likely to occur with severe inflammation status, turning out to be a strong predictor for disease aggressiveness; therefore, it should be included in the predictive model of COVID-19 patients.

Initialization Method for Lung CT Segmentation

2019 ◽  
pp. 289-292
Author(s):  
Edson Cavalcanti Neto ◽  
Paulo C. Cortez ◽  
Valberto E. Rodrigues ◽  
Thomaz M. Almeida ◽  
Alyson B. N. Ribeiro ◽  
...  
Keyword(s):  
Ct Segmentation ◽  
Lung Ct

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

10.3791/61737 ◽  
2020 ◽  
Author(s):  
Arrigo Cattabriga ◽  
Maria Adriana Cocozza ◽  
Giulio Vara ◽  
Francesca Coppola ◽  
Rita Golfieri
Keyword(s):  
Ground Glass ◽  
Ct Segmentation ◽  
Lung Ct

Formation of Lunar Craters and Bright Rays as a Result of Meteorite Impacts

1962 ◽  
Vol 14 ◽  
pp. 415-418
Author(s):  
K. P. Stanyukovich ◽  
V. A. Bronshten
Keyword(s):  
Explosive Charge ◽  
The Moon ◽  
Meteorite Impacts ◽  
The Earth ◽  
Lunar Craters ◽  
The Impact

The phenomena accompanying the impact of large meteorites on the surface of the Moon or of the Earth can be examined on the basis of the theory of explosive phenomena if we assume that, instead of an exploding meteorite moving inside the rock, we have an explosive charge (equivalent in energy), situated at a certain distance under the surface.

The Geosciences Applied to Lunar Exploration

1962 ◽  
Vol 14 ◽  
pp. 169-257 ◽  
Author(s):  
J. Green
Keyword(s):  
Lunar Surface ◽  
Probable Mechanism ◽  
Point Of View ◽  
Lunar Exploration ◽  
Geological Model ◽  
Apply Geophysics ◽  
Surface Features ◽  
The Impact

The term geo-sciences has been used here to include the disciplines geology, geophysics and geochemistry. However, in order to apply geophysics and geochemistry effectively one must begin with a geological model. Therefore, the science of geology should be used as the basis for lunar exploration. From an astronomical point of view, a lunar terrain heavily impacted with meteors appears the more reasonable; although from a geological standpoint, volcanism seems the more probable mechanism. A surface liberally marked with volcanic features has been advocated by such geologists as Bülow, Dana, Suess, von Wolff, Shaler, Spurr, and Kuno. In this paper, both the impact and volcanic hypotheses are considered in the application of the geo-sciences to manned lunar exploration. However, more emphasis is placed on the volcanic, or more correctly the defluidization, hypothesis to account for lunar surface features.

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