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

Ultrasonic liver discrimination using 2-D phase congruency.

Guitao Cao1, Pengfei Shi, Bing Hu

  • 1Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China. maggie@sjtu.edu.cn

IEEE Transactions on Bio-Medical Engineering
|October 6, 2006
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

[Correlation between prostatic parameters of transrectal ultrasonography and age in patients with benign prostatic hyperplasia].

Zhonghua nan ke xue = National journal of andrology·2018
Same author

Preoperative Transurethral Contrast-Enhanced Ultrasonography in the Diagnosis of Female Urethral Diverticula.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine·2018
Same author

Successful endoscopic removal of a rare, large impacted pancreatic duct stone using grasping forceps: A case report with video.

Medicine·2018
Same author

Circadian genes period1b and period2 differentially regulate inflammatory responses in zebrafish.

Fish & shellfish immunology·2018
Same author

Zebrafish Lacking Circadian Gene <i>per2</i> Exhibit Visual Function Deficiency.

Frontiers in behavioral neuroscience·2018
Same author

Gender, age, and concomitant diseases of melanosis coli in China: a multicenter study of 6,090 cases.

PeerJ·2018

This study introduces a new method using 2D phase congruency to extract liver features, unaffected by image contrast. This technique shows promise for objective quantification of liver pathology in medical imaging.

Area of Science:

  • Medical Imaging
  • Image Analysis
  • Computational Pathology

Background:

  • Accurate quantification of liver pathology is crucial for clinical diagnosis.
  • Image acquisition settings can influence the appearance and analysis of medical images.
  • Existing methods may be sensitive to variations in image intensity and contrast.

Purpose of the Study:

  • To develop and evaluate a novel method for liver feature extraction.
  • To improve the robustness of liver image analysis against variations in machine settings.
  • To enable objective quantification of liver pathology for clinical applications.

Main Methods:

  • Utilized two-dimensional phase congruency for liver feature extraction.
  • Ensured the method is invariant to changes in image intensity and contrast.

Related Experiment Videos

  • Validated the technique on three distinct classes of liver images.

    • Main Results:

    • Successfully extracted liver features using the proposed 2D phase congruency method.
    • Demonstrated robustness against variations in image intensity and contrast.
    • Showcased the potential for accurate classification of different liver image classes.

    Conclusions:

    • The 2D phase congruency method offers a reliable approach for liver feature extraction.
    • This technique has the potential to enhance the objectivity of liver pathology quantification.
    • The findings support the application of this method in clinical diagnosis and medical imaging analysis.