Name
Title | ||
|---|---|---|
Local Motion Intensity Clustering (LMIC) Model for Segmentation of Right Ventricle in Cardiac MRI Images. |
Abstract | ||
|---|---|---|
Analysis of the morphology and function of the right ventricle (RV) can be used for the prediction and diagnosis of cardiovascular disease. Accurate description of the structure and function of heart can be provided by analyzing cardiac magnetic resonance imaging (MRI) images. Noise interference and intensity inhomogeneity of MRI images can be addressed by using a Local Intensity Clustering (LIC) model. However, the segmentation of the RV in MRI images still remains a challenge mainly due to its ill-defined borders. To address such a challenge, an algorithm for segmenting the RV based on a local motion intensity clustering (LMIC) model is proposed in this paper. The LMIC model combines the LIC model with the motion intensity information, due to cardiac motion and blood flow. The motion intensity is calculated by using the Lucas Kanade (LK) optical flow method and utilized in the LMIC model as an energy parameter. Because the motion intensity of the RV region is stronger than other areas, the RV can be accurately segmented by this approach. Experimental results demonstrate that the LMIC model is able to address the challenge of the ill-defined RV borders in cardiac MRI images and improved RV segmentation accuracy over existing methods. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JBHI.2018.2821709 | IEEE journal of biomedical and health informatics |
Keywords | Field | DocType |
Magnetic resonance imaging,Image segmentation,Heart,Motion segmentation,Blood flow,Optical flow,Level set | Computer vision,Pattern recognition,Computer science,Segmentation,Level set,Image segmentation,Lucas–Kanade method,Artificial intelligence,Cardiac magnetic resonance imaging,Cluster analysis,Optical flow,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
23 | 2 | 2168-2208 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zengzhi Guo | 1 | 0 | 0.34 |
| Wenjun Tan | 2 | 0 | 2.37 |
| Lu Wang | 3 | 3 | 1.57 |
| Lisheng Xu | 4 | 178 | 39.09 |
| Xinhui Wang | 5 | 0 | 0.34 |
| Benqiang Yang | 6 | 38 | 2.47 |
| Yu-Dong Yao | 7 | 1781 | 119.83 |