Imperial College London
Alternate

DrNavtejChahal

Faculty of Medicine, National Heart & Lung Institute

Honorary Clinical Senior Lecturer
 
 
 
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Contact

 

navtej.chahal07

 
 
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Location

 

Royal BromptonRoyal Brompton Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Li:2016:10.1007/978-3-319-46726-9_19,
author = {Li, Y and Ho, CP and Chahal, N and Senior, R and Tang, MX},
doi = {10.1007/978-3-319-46726-9_19},
pages = {158--165},
title = {Myocardial segmentation of contrast echocardiograms using random forests guided by shape model},
url = {http://dx.doi.org/10.1007/978-3-319-46726-9_19},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Myocardial Contrast Echocardiography (MCE) with microbubble contrast agent enables myocardial perfusion quantification which is invaluable for the early detection of coronary artery diseases. In this paper,we proposed a new segmentation method called Shape Model guided Random Forests (SMRF) for the analysis of MCE data. The proposed method utilizes a statistical shape model of the myocardium to guide the Random Forest (RF) segmentation in two ways. First,we introduce a novel Shape Model (SM) feature which captures the global structure and shape of the myocardium to produce a more accurate RF probability map. Second,the shape model is fitted to the RF probability map to further refine and constrain the final segmentation to plausible myocardial shapes. Evaluated on clinical MCE images from 15 patients,our method obtained promising results (Dice = 0.81,Jaccard = 0.70,MAD = 1.68 mm,HD = 6.53mm) and showed a notable improvement in segmentation accuracy over the classic RF and its variants.
AU  - Li,Y
AU  - Ho,CP
AU  - Chahal,N
AU  - Senior,R
AU  - Tang,MX
DO  - 10.1007/978-3-319-46726-9_19
EP  - 165
PY  - 2016///
SN  - 0302-9743
SP  - 158
TI  - Myocardial segmentation of contrast echocardiograms using random forests guided by shape model
UR  - http://dx.doi.org/10.1007/978-3-319-46726-9_19
ER  -
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