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 Videos

[An automatic method segmenting lung regions from digital chest radiograph].

X Cao1, D Jiang, C Zheng

  • 1Biomedical Engineering Research Institute, Xi'an Jiaotong University, Xi'an 710049.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|January 30, 2003
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

Discrete element analysis of the effect of particle cohesion on die filling behaviour of pharmaceutical powders in a rotary tablet press.

International journal of pharmaceutics·2026
Same author

Dietary hydrolysed tannins regulate carcass performance and meat traits in Hu sheep through microbial regulation.

Animal : an international journal of animal bioscience·2026
Same author

Mechanical power guided lung protective ventilation in acute respiratory failure using the VentCoach approach.

Scientific reports·2026
Same author

Directed pterygomaxillary disjunction versus direct downfracture in Le Fort I osteotomy: application of a fracture quality framework using bilateral ten-point cone-beam computed tomography in a retrospective cohort of 205 patients.

Medicina oral, patologia oral y cirugia bucal·2025
Same author

Search for Millicharged Particles in Proton-Proton Collisions at sqrt[s]=13.6  TeV.

Physical review letters·2025
Same author

Nutritional impacts of dietary selenium and iodine and their interaction on growth performance, antioxidant capacity and bone quality in Longyan ducklings.

British poultry science·2025

This study presents an effective method for segmenting lung regions in digital chest radiographs. The technique automatically calculates thresholds for improved image processing and analysis of chest X-rays.

Area of Science:

  • Medical Imaging
  • Radiology
  • Image Processing

Background:

  • Digital chest radiographs possess a wide dynamic range, complicating standard image processing.
  • Anatomically adaptive processing offers superior results but requires automated image segmentation.
  • Accurate segmentation is crucial for effective analysis of chest X-ray images.

Purpose of the Study:

  • To present an effective method for automatic segmentation of lung regions in digital chest radiographs.
  • To address the challenges of processing wide dynamic range chest images.
  • To enable anatomically adaptive processing through reliable lung segmentation.

Main Methods:

  • The proposed method automatically calculates a specific threshold for segmenting lung and mediastinal regions.

Related Experiment Videos

  • Threshold calculation is based on the histogram analysis of the processed chest image.
  • This approach facilitates the distinction between lung, mediastinum, and subdiaphragmatic areas.

    • Main Results:

    • The method successfully achieves automatic segmentation of lung regions from digital chest radiographs.
    • It provides an effective way to handle the wide dynamic range inherent in chest imaging.
    • The automatic threshold calculation simplifies the segmentation process.

    Conclusions:

    • The presented method offers an effective solution for segmenting lung regions in digital chest radiographs.
    • This automated segmentation is key to enabling advanced, anatomically adaptive image processing.
    • The technique improves the processing of challenging chest X-ray images.