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Structured Review

Imbio LLC lung density analysis (lda) software
Lung Density Analysis (Lda) Software, supplied by Imbio LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/lung+density+analysis+software/lung+density+analysis++lda++software/pm39510885-2-4-0
Average 90 stars, based on 1 article reviews
lung density analysis (lda) software - by Bioz Stars, 2026-10
90/100 stars

Images

Related Articles

Targeted Proteomics:

Article Title: COPD stage detection: leveraging the auto-metric graph neural network with inspiratory and expiratory chest CT images.
Article Snippet: Chronic obstructive pulmonary disease (COPD) is a common lung disease that can lead to restricted airflow and respiratory problems, causing a significant health, economic, and social burden.. Detecting the COPD stage can provide a timely warning for prompt intervention in COPD patients.. However, existing methods based on inspiratory (IN) and expiratory (EX) chest CT images are not sufficiently accurate and efficient in COPD stage detection.

Article Title: Association between Functional Small Airway Disease and FEV 1 Decline in Chronic Obstructive Pulmonary Disease
Article Snippet: .. Using funds from NHLBI (grant R01 HL122438), PRM analysis was also performed on paired registered inspiratory and expiratory images to distinguish functional small airways disease (PRM fSAD ) from emphysema (PRM emph ) by Imbio LLC (Minneapolis, MN) using lung density analysis software ( 8 ). ..

Derivative Assay:

Article Title: COPD stage detection: leveraging the auto-metric graph neural network with inspiratory and expiratory chest CT images.
Article Snippet: Chronic obstructive pulmonary disease (COPD) is a common lung disease that can lead to restricted airflow and respiratory problems, causing a significant health, economic, and social burden.. Detecting the COPD stage can provide a timely warning for prompt intervention in COPD patients.. However, existing methods based on inspiratory (IN) and expiratory (EX) chest CT images are not sufficiently accurate and efficient in COPD stage detection.

Software:

Article Title: COPD stage detection: leveraging the auto-metric graph neural network with inspiratory and expiratory chest CT images.
Article Snippet: Chronic obstructive pulmonary disease (COPD) is a common lung disease that can lead to restricted airflow and respiratory problems, causing a significant health, economic, and social burden.. Detecting the COPD stage can provide a timely warning for prompt intervention in COPD patients.. However, existing methods based on inspiratory (IN) and expiratory (EX) chest CT images are not sufficiently accurate and efficient in COPD stage detection.

Article Title: CT-Based Local Distribution Metric Improves Characterization of COPD
Article Snippet: .. Segmentation and registration of paired CT data were performed using Lung Density Analysis software currently FDA-approved as a medical imaging device (Imbio, LLC, Minneapolis, MN). ..

Article Title: Association between Functional Small Airway Disease and FEV 1 Decline in Chronic Obstructive Pulmonary Disease
Article Snippet: .. Using funds from NHLBI (grant R01 HL122438), PRM analysis was also performed on paired registered inspiratory and expiratory images to distinguish functional small airways disease (PRM fSAD ) from emphysema (PRM emph ) by Imbio LLC (Minneapolis, MN) using lung density analysis software ( 8 ). ..

Functional Assay:

Article Title: COPD stage detection: leveraging the auto-metric graph neural network with inspiratory and expiratory chest CT images.
Article Snippet: Chronic obstructive pulmonary disease (COPD) is a common lung disease that can lead to restricted airflow and respiratory problems, causing a significant health, economic, and social burden.. Detecting the COPD stage can provide a timely warning for prompt intervention in COPD patients.. However, existing methods based on inspiratory (IN) and expiratory (EX) chest CT images are not sufficiently accurate and efficient in COPD stage detection.

Article Title: Association between Functional Small Airway Disease and FEV 1 Decline in Chronic Obstructive Pulmonary Disease
Article Snippet: .. Using funds from NHLBI (grant R01 HL122438), PRM analysis was also performed on paired registered inspiratory and expiratory images to distinguish functional small airways disease (PRM fSAD ) from emphysema (PRM emph ) by Imbio LLC (Minneapolis, MN) using lung density analysis software ( 8 ). ..

other:

Article Title: Local heterogeneity of normal lung parenchyma and small airways disease are associated with COPD severity and progression
Article Snippet: PRM were determined from paired CT scans using Lung Density Analysis (LDA) software (Imbio, LLC, Minneapolis, MN).

Article Title: Topologic Parametric Response Mapping Identifies Tissue Subtypes Associated with Emphysema Progression
Article Snippet: Parametric Response Map (PRM) Parametric Response Mapping was performed on all paired CT scans using Lung Density Analysis (LDA) software (Imbio, LLC, Minneapolis, MN) to generate PRM maps.

Article Title: Topological Analysis of the CT Based Parametric Response Map in a Large COPD Population: a COPDGene Study
Article Snippet: CT Imaging and tPRM Analysis We used lung density analysis (LDA) software (Imbio, LLC, Minneapolis, MN) to generate PRM maps from paired scans.

Biomarker Discovery:

Article Title: Computational healthcare: Present and future perspectives (Review)
Article Snippet: .. Lung Density Analysis , Imbio LLC , Diagnosis , Radiology , 2014. .. Vitrea CT Lung Density Analysis Software , Vital Images, Inc. , Diagnosis , Radiology , 2015.

Imaging:

Article Title: CT-Based Local Distribution Metric Improves Characterization of COPD
Article Snippet: .. Segmentation and registration of paired CT data were performed using Lung Density Analysis software currently FDA-approved as a medical imaging device (Imbio, LLC, Minneapolis, MN). ..



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Image Search Results


CT Lung Density Analysis. This image shows: ( a ) parenchyma contouring; ( b ) lesion display; ( c ) manual editing; ( d ) final result with a volumetric rendering.

Journal: Diagnostics

Article Title: Different Lung Parenchyma Quantification Using Dissimilar Segmentation Software: A Multi-Center Study for COVID-19 Patients

doi: 10.3390/diagnostics12061501

Figure Lengend Snippet: CT Lung Density Analysis. This image shows: ( a ) parenchyma contouring; ( b ) lesion display; ( c ) manual editing; ( d ) final result with a volumetric rendering.

Article Snippet: - Center 2: CT Lung Density Analysis software by Canon (version 7.11.5) [ ] and Syngo.CT Pulmo 3D by Siemens (version VB30) [ ].

Techniques:

CT Lung Density Analysis: histogram of attenuation areas. The red area represents the low attenuation area [−990; −750 HU]; the yellow one represents the medium attenuation area [−750; 660 HU]; and the blue area shows the high attenuation area [−660; 0 HU].

Journal: Diagnostics

Article Title: Different Lung Parenchyma Quantification Using Dissimilar Segmentation Software: A Multi-Center Study for COVID-19 Patients

doi: 10.3390/diagnostics12061501

Figure Lengend Snippet: CT Lung Density Analysis: histogram of attenuation areas. The red area represents the low attenuation area [−990; −750 HU]; the yellow one represents the medium attenuation area [−750; 660 HU]; and the blue area shows the high attenuation area [−660; 0 HU].

Article Snippet: - Center 2: CT Lung Density Analysis software by Canon (version 7.11.5) [ ] and Syngo.CT Pulmo 3D by Siemens (version VB30) [ ].

Techniques:

Summary of the evaluations within the  software  and the visual assessments. This statistical calculation underlines that the best agreement was between 3DSlicer “LungCTAnalyzer” and the median of the visual score (ICC 0.75 with a CI 0.67–0.82 and with a median value of 22% of disease extension for the  software  and 25% for the visual values). The  Canon   software  occupies second place, the Siemens  software  third place, and the 3DSlicer version “Parenchyma  Analysis”  last place. ICC = Intraclass Correlation Coefficient, CI = Confidence Interval.

Journal: Diagnostics

Article Title: Different Lung Parenchyma Quantification Using Dissimilar Segmentation Software: A Multi-Center Study for COVID-19 Patients

doi: 10.3390/diagnostics12061501

Figure Lengend Snippet: Summary of the evaluations within the software and the visual assessments. This statistical calculation underlines that the best agreement was between 3DSlicer “LungCTAnalyzer” and the median of the visual score (ICC 0.75 with a CI 0.67–0.82 and with a median value of 22% of disease extension for the software and 25% for the visual values). The Canon software occupies second place, the Siemens software third place, and the 3DSlicer version “Parenchyma Analysis” last place. ICC = Intraclass Correlation Coefficient, CI = Confidence Interval.

Article Snippet: - Center 2: CT Lung Density Analysis software by Canon (version 7.11.5) [ ] and Syngo.CT Pulmo 3D by Siemens (version VB30) [ ].

Techniques: Software

Bland–Altman graphics demonstrate the trend of the values assessed. For the software “LungCTAnalyzer”, the results lie in a range between 36.7 and −8.6 with an SD of ±1.96. For the Canon software, the results filled the space between 34.8 and −12.5 with an SD of ±1.96; for the Siemens software, instead, the values were positioned between 36.8 and −13.6 with the same SD of ±1.96. Finally, the “Parenchyma Analysis” outcomes were placed between 26.3 and −20.6 with an SD of ±1.96. SD = Standard Deviation.

Journal: Diagnostics

Article Title: Different Lung Parenchyma Quantification Using Dissimilar Segmentation Software: A Multi-Center Study for COVID-19 Patients

doi: 10.3390/diagnostics12061501

Figure Lengend Snippet: Bland–Altman graphics demonstrate the trend of the values assessed. For the software “LungCTAnalyzer”, the results lie in a range between 36.7 and −8.6 with an SD of ±1.96. For the Canon software, the results filled the space between 34.8 and −12.5 with an SD of ±1.96; for the Siemens software, instead, the values were positioned between 36.8 and −13.6 with the same SD of ±1.96. Finally, the “Parenchyma Analysis” outcomes were placed between 26.3 and −20.6 with an SD of ±1.96. SD = Standard Deviation.

Article Snippet: - Center 2: CT Lung Density Analysis software by Canon (version 7.11.5) [ ] and Syngo.CT Pulmo 3D by Siemens (version VB30) [ ].

Techniques: Software, Standard Deviation