Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Computed Tomography01:10

Computed Tomography

7.9K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
7.9K
Respiratory Volumes and Capacities01:22

Respiratory Volumes and Capacities

4.7K
The respiratory system is responsible for the intake of oxygen and the expulsion of carbon dioxide from the body. Respiratory volumes describe the volume of air in the lungs at different phases of the respiratory cycle. Tidal volume is the air breathed in and out during normal, quiet breathing. Inspiratory reserve volume is the air that can be forcefully inspired beyond the tidal volume. In contrast, expiratory reserve volume refers to the air that can be expelled from the lungs after a normal...
4.7K
Respiratory Volumes01:15

Respiratory Volumes

2.7K
Respiratory volumes are crucial metrics, meticulously measured to quantify the air exchanged in and out of the lungs during various phases of the breathing cycle. These precise measurements are vital for assessing lung function, diagnosing respiratory conditions, and monitoring overall respiratory health. Each parameter provides specific insights into the mechanics of breathing and the functional capacity of the lungs.
Tidal Volume (TV) Tidal volume (TV) is the air inhaled or exhaled in a...
2.7K
Respiratory Volumes and Capacities I01:26

Respiratory Volumes and Capacities I

1.5K
Assessing the respiratory rate and rhythm for a complete minute is crucial for evaluating the breathing pattern. Even a minor increase in the patient's average respiratory rate, by as little as three to five breaths per minute, is an early and vital indicator of respiratory distress. Patients with a respiratory rate exceeding twenty-four breaths per minute require close monitoring to determine the physiological alterations. This careful observation is essential for prompt recognition and...
1.5K
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

248
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
248
Lung Capacity01:47

Lung Capacity

56.0K
The air in the lungs is measured in volumes and capacities. Lung volume measures reflect the amount of air taken in, released, or left over after a lung function, like a single inhalation. Lung capacity measures are sums of two or more lung volume measures.
56.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Coronary heart disease-a German paradox : Using AI-based technology to solve a relevant healthcare problem].

Herzschrittmachertherapie & Elektrophysiologie·2025
Same author

Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter study.

ESMO open·2024
Same author

Laparoscopic ischemic conditioning of the stomach prior to esophagectomy induces gastric neo-angiogenesis.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology·2023
Same author

[Report template from the German Society of Urology and the German Radiological Society for standardized, structured reporting of native computed tomography scans in the diagnosis of urinary stones].

Urologie (Heidelberg, Germany)·2023
Same author

Soft Reconstruction Kernels Improve HCC Imaging on a Photon-Counting Detector CT.

Academic radiology·2023
Same author

[Interdisciplinary discussions, consultative findings and communication of results].

Radiologie (Heidelberg, Germany)·2023

Related Experiment Video

Updated: Jan 6, 2026

Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models
03:38

Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models

Published on: June 20, 2025

805

Workflow-centred open-source fully automated lung volumetry in chest CT.

F Jungmann1, S Brodehl2, R Buhl3

  • 1Department of Diagnostic and Interventional Radiology of the University Medical Center of the Johannes Gutenberg-University Mainz, Germany.

Clinical Radiology
|October 8, 2019
PubMed
Summary

An open-source method automates total lung capacity (TLC) extraction from CT scans, achieving over 95% accuracy and integrating seamlessly into clinical workflows. This tool enhances diagnostic efficiency for lung conditions.

More Related Videos

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis
05:56

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

Published on: August 9, 2024

2.3K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

2.0K

Related Experiment Videos

Last Updated: Jan 6, 2026

Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models
03:38

Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models

Published on: June 20, 2025

805
Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis
05:56

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

Published on: August 9, 2024

2.3K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

2.0K

Area of Science:

  • Medical Imaging
  • Radiology
  • Pulmonology

Background:

  • Accurate measurement of total lung capacity (TLC) is crucial for diagnosing and managing respiratory diseases.
  • Current methods for TLC extraction from computed tomography (CT) images often require manual intervention, limiting efficiency.
  • There is a need for automated, robust, and open-source solutions for TLC quantification in clinical practice.

Purpose of the Study:

  • To develop a fully automated, open-source algorithm for extracting total lung capacity (TLC) from CT images.
  • To validate the accuracy of the automated TLC measurements against pulmonary function testing (PFT).
  • To demonstrate the integration of the automated TLC extraction method into a clinical Picture Archiving and Communication System (PACS) workflow.

Main Methods:

  • An open-source region-growing algorithm was developed for automated lung segmentation and TLC calculation from CT data.
  • The algorithm's performance was evaluated on 288 retrospective patient CT scans.
  • Validation involved correlating CT-derived TLC (TLCCT) with PFT-derived TLC (TLCPFT) in a subgroup of patients.

Main Results:

  • The automated algorithm achieved excellent segmentation in over 95% of cases (13/288 patients showed poor results).
  • A strong positive correlation was found between TLCCT and TLCPFT (r=0.87, p<0.001).
  • Measurements demonstrated high agreement between different CT reconstruction kernels (ICC=0.99), with rapid calculation times (average 5 seconds).

Conclusions:

  • A robust, open-source, and fully automated method for TLC extraction from CT images has been successfully developed.
  • The algorithm provides accurate lung volume quantification with high success rates and seamless integration into clinical PACS environments.
  • This automated approach enhances diagnostic efficiency and supports radiologists by providing rapid, reliable TLC measurements.