Applying improved fast marching method to endocardial boundary detection in echocardiographic images

Authors:
JiaYong Yan;TianGe Zhuang
Affiliations:
Department of Biomedical Engineering, Shanghai Jiaotong University, 1954 Huashan Road, Shanghai 200030, China;Department of Biomedical Engineering, Shanghai Jiaotong University, 1954 Huashan Road, Shanghai 200030, China
Venue:
Pattern Recognition Letters
Year:
2003

Citing 4
Cited 4

Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations

Journal of Computational Physics
Shape Modeling with Front Propagation: A Level Set Approach

IEEE Transactions on Pattern Analysis and Machine Intelligence
Geodesic Active Contours

International Journal of Computer Vision
A fast level set method for segmentation of low contrast noisy biomedical images

Pattern Recognition Letters

Efficiently determining a locally exact shortest path on polyhedral surfaces

Computer-Aided Design
Random Forest Classification for Automatic Delineation of Myocardium in Real-Time 3D Echocardiography

FIMH '09 Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart
Fast and robust semi-automatic liver segmentation with haptic interaction

MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Fast segmentation of ultrasound images using robust Rayleigh distribution decomposition

Pattern Recognition

Quantified Score

Hi-index	0.10

Visualization

Abstract

An improved fast marching approach for endocardial boundary detection and tracking in echocardiographic images is presented. Firstly, the traditional fast marching algorithm is applied to the echocardiographic images. And the existing problems are discussed. Then, the algorithm is improved by introducing the average energy of the whole advancing front into the speed term instead of determining the speed term only with the local image features. The experimental results show that the improved algorithm is very effective and stable.