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

Medical image collection indexing: shape-based retrieval using KD-trees

G P Robinson1, H D Tagare, J S Duncan

  • 1Department of Diagnostic Radiology, Yale University, New Haven, CT 06520, USA.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|July 1, 1996
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

Application of 16S rRNA gene amplicon sequencing in the investigation of novel ovine skin lesions in Norway.

Frontiers in veterinary science·2026
Same author

The development, validation and application of an indirect enzyme-linked immunosorbent assay (ELISA) for the detection of antibodies to Streptococcus dysgalactiae subspecies dysgalactiae in lamb and ewe sera.

Research in veterinary science·2025
Same author

A cross-sectional survey of farmer reported prevalence and farm management practices associated with neonatal infectious arthritis ("joint ill") in lambs, on UK sheep farms.

Frontiers in veterinary science·2025
Same author

Progression of the faecal microbiome in preweaning dairy calves that develop cryptosporidiosis.

Animal microbiome·2025
Same author

Multilocus sequence typing of pathogenic treponemes isolated from contagious ovine digital dermatitis stage five lesions: Implications for disease transmission dynamics.

Research in veterinary science·2024
Same author

Specific pathway abundances in the neonatal calf faecal microbiome are associated with susceptibility to Cryptosporidium parvum infection: a metagenomic analysis.

Animal microbiome·2023
Same journal

Self-supervised isotropic reconstruction for abnormality detection in anisotropic MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

WDBDM: Wavelet-based dual-branch diffusion model for low-dose CT and PET denoising.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

ScribSAM: A robust scribble-supervised framework for spatiotemporal segmentation of breast lesions in ultrasound videos.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

Anatomically and biochemically guided deep image prior for sodium MRI denoising.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

Segment Anything Model for medical image segmentation: A review.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

HiCAF-Net: A Hierarchical Cross-Attention Fusion framework for cross-cancer subtype classification using histopathological and genomic data.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
See all related articles

This study introduces a new method for retrieving medical images based on shape similarity. It enables efficient searching of non-rigid organ shapes in image databases.

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Database Systems

Background:

  • Retrieving images with similar organ shapes is crucial for medical databases.
  • Existing methods often struggle with non-rigid shape variations and orientation differences.

Purpose of the Study:

  • To develop a novel similarity measure for non-rigid shape comparison in medical images.
  • To create an efficient indexing mechanism for fast shape-based image retrieval.

Main Methods:

  • A similarity measure based on non-rigid mapping between curves to compare oriented shapes.
  • Utilizing KD-trees for efficient indexing of curves within the image database.

Main Results:

  • Demonstrated effective retrieval of images with similar non-rigid organ shapes.

Related Experiment Videos

  • Showcased the efficiency of the proposed KD-tree indexing for similarity search.

    • Conclusions:

    • The proposed method enhances medical image database capabilities for shape-based retrieval.
    • This approach accurately handles non-rigid transformations and orientation variations in organ shapes.