eagle-i Oregon Health & Science UniversityOregon Health & Science University
See it in Search
This page is a preview of the following resource. Continue onto eagle-i search using the button on the right to see the full record.

Segmentation and mesh mapping method for cardiac tissue layers from 4-D OCT images

eagle-i ID


Resource Type

  1. Algorithmic software component


  1. Related grant number
    NIH R01 HL094570
  2. Related grant number
    NSF DBI-1052688
  3. Resource Description
    "This algorithm-driven software is designed to extract the dynamic shapes of the heart myocardium and endocardium from reconstructed 4-D optical coherence tomography images. For the Rugonyi Lab's uses, images of three surfaces are collected over time: the external and internal surfaces of the myocardium layer and the endocardium (or tissue-lumen interface) surface. To detect cardiac tissues, several layer 2-D meshes are placed around the myocardium and several 2-D edge meshes are placed around the endocardium. The meshes on each tissue layer are then linked together using active-contour techniques, and detection of the myocardial and endocardial layers is guided by a robust maximum-likelihood estimator. Linking the meshes with active-contour facilitates detection and tracking of tissue motion."
  4. Contact
    Rugonyi, Sandra, Ph.D.
  5. Used by
    Sandra Rugonyi Laboratory
  6. Data Input
    2-D optical coherence tomography images of heart tissue
  7. Data Output
    3-D deformable mesh model of heart
  8. Software purpose
    Image processing objective
  9. Related Technique
    Doppler OCT
  10. Developed by
    Yin, Xin, Ph.D.
  11. Algorithm used
    Expectation-Maximization(EM) algorithm
  12. Coded in
Provenance Metadata About This Resource Record
Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016