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 Experiment Video

Updated: Jul 9, 2026

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules
07:53

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules

Published on: October 13, 2023

Combining 2D wavelet edge highlighting and 3D thresholding for lung segmentation in thin-slice CT.

P Korfiatis1, S Skiadopoulos, P Sakellaropoulos

  • 1Department of Medical Physics, School of Medicine, University of Patras, 265 00 Patras, Greece.

The British Journal of Radiology
|December 11, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

CTPA imaging findings, beyond pulmonary embolism, in patients with Severe Acute Respiratory Syndrome Corona Virus-2 infection and their relation to clinical outcome - a single center experience.

European review for medical and pharmacological sciences·2022
Same author

Prediction of complicated appendicitis risk in children.

European review for medical and pharmacological sciences·2021
Same author

Behavioural and emotional profile of children in residential care in Greece.

Psychiatrike = Psychiatriki·2020
Same author

Deep learning can see the unseeable: predicting molecular markers from MRI of brain gliomas.

Clinical radiology·2019
Same author

Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project.

AJNR. American journal of neuroradiology·2018
Same author

A two-stage method for microcalcification cluster segmentation in mammography by deformable models.

Medical physics·2015

An automated method accurately segments lung borders in thin-slice CT scans using wavelet edge highlighting and 3D thresholding. This technique improves lung analysis by providing precise segmentation for computer-aided diagnosis.

Area of Science:

  • Medical Imaging
  • Computer-Aided Diagnosis
  • Image Segmentation

Background:

  • Accurate lung segmentation is critical for computed tomography (CT) analysis.
  • Thin-slice multidetector CT requires efficient automated segmentation algorithms.
  • Existing methods face challenges with complex lung borders and juxtapleural nodules.

Purpose of the Study:

  • To present an automated method for lung segmentation in thin-slice CT data.
  • To address challenges in lung border delineation, including junction lines and nodules.
  • To provide a robust first step for computer-aided lung analysis.

Main Methods:

  • Utilized a two-dimensional wavelet edge-highlighting step for lung border delineation.
  • Employed three-dimensional (3D) grey level thresholding with a minimum error technique for lung volume segmentation.

More Related Videos

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

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

Published on: December 19, 2020

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

Related Experiment Videos

Last Updated: Jul 9, 2026

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules
07:53

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules

Published on: October 13, 2023

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

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

Published on: December 19, 2020

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

  • Applied 3D morphological closing to refine mediastinum border segmentation.

    • Main Results:

    • Achieved high lung volume overlap (0.983+/-0.008) and accurate shape differentiation (mean distance 0.770+/-0.251 mm).
    • Wavelet pre-processing significantly improved segmentation metrics compared to 3D thresholding alone (p<0.01).
    • The method effectively handles challenging features like junction lines and juxtapleural nodules.

    Conclusions:

    • The proposed automated method provides accurate lung segmentation for thin-slice CT.
    • Wavelet pre-processing enhances the robustness of the segmentation algorithm.
    • This technique serves as a reliable initial step for computer-assisted lung CT analysis.