Segmentation of TIBIA Bone in Ultrasound Images Using Active Shape Models

Abstract

This paper describes the use of Active Shape Models to segment the tibia bone in ultrasound images. Using CT images from three volunteers, a training set consisting of 60 tibia contours, each represented by 45 labeled points, is first established. After aligning the contours in the training set, a Point Distribution Model (PDM) is generated that includes a mean shape of tibia and six modes of shape variation that explain 98% of the total shape variation. Using the PDM, a new shape can be generated which is further scaled, rotated and translated to match the tibia contour in an ultrasound image. Preliminary results indicate that Active Shape Models provide a useful tool for segmenting leg bones in ultrasound images.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412425

Entities

People

  • Jun Zheng
  • Ping He

Organizations

  • Wright State University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Active Shape Models
  • Boundaries
  • Change Detection
  • Computer Vision
  • Education
  • Eigenvalues
  • Eigenvectors
  • Engineering
  • Equations
  • Human Factors Engineering
  • Leg Bones
  • Models
  • Residual Limbs
  • Training
  • Ultrasounds
  • Visual Inspection

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Trauma Surgery or Emergency Medicine.