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

eagle-i ID

Resource Type

Properties

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

    C++