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

Semiautomated thermal lesion segmentation for three-dimensional elastographic imaging.

U Techavipoo1, T Varghese, J A Zagzebski

  • 1Departmet of Medical Physics, The University of Wisconsin-Madison, Madison, WI 53706, USA.

Ultrasound in Medicine & Biology
|June 9, 2004
PubMed
Summary

This study introduces a semiautomated segmentation algorithm for accurate thermal lesion volume measurement using 3-D elastography. The method provides results comparable to manual segmentation, reducing time and subjectivity in lesion analysis.

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

Ultrasound frame rate requirements for cardiac elastography: experimental and in vivo results.

Ultrasonics·2008
Same author

Acoustic backscatter and effective scatterer size estimates using a 2D CMUT transducer.

Physics in medicine and biology·2008
Same author

Estimation of ultrasound attenuation from broadband echo-signals using bandpass filtering.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2008
Same author

Intervening attenuation affects first-order statistical properties of ultrasound echo signals.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2008
Same author

A frequency domain model for generating B-mode images with array transducers.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2008
Same author

Computer model for harmonic ultrasound imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2008

Area of Science:

  • Medical imaging
  • Biomedical engineering
  • Quantitative analysis

Background:

  • Accurate lesion volume measurement is crucial for medical diagnosis and treatment monitoring.
  • Manual segmentation of lesions from medical images is time-consuming and subjective.
  • Automated methods are needed to improve efficiency and reproducibility in lesion analysis.

Purpose of the Study:

  • To develop and evaluate a semiautomated segmentation algorithm for thermal lesions using 3-D elastography.
  • To compare the accuracy of the semiautomated method with manual segmentation for area and volume estimation.
  • To assess the utility of 3-D elastography for quantitative analysis of thermal lesions.

Main Methods:

  • A semiautomated segmentation algorithm was developed based on thresholding and morphologic opening.

Related Experiment Videos

  • The algorithm was applied to 2-D and 3-D elastographic data of 44 thermal lesions imaged in vitro.
  • Segmentation results were compared against manual delineations from both elastographic and pathology images.

    • Main Results:

    • The semiautomated segmentation algorithm demonstrated a close correspondence with manual delineation results.
    • Both manual and semiautomated segmentation of elastographic data slightly underestimated lesion areas and volumes compared to pathology.
    • The algorithm effectively extracts area and volume information from thermal lesions.

    Conclusions:

    • Semiautomated segmentation of 3-D elastographic data is a viable and efficient method for thermal lesion analysis.
    • This approach reduces the time and subjectivity associated with manual lesion delineation.
    • Elastography-based segmentation offers a promising tool for quantitative assessment of thermal lesions, though slight underestimation requires consideration.