Imperial College London
Alternate

DrMassoudZolgharni

Faculty of Medicine, National Heart & Lung Institute

Visiting Professor
 
 
 
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Contact

 

m.zolgharni Website

 
 
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Location

 

ICTEM buildingHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Dhutia:2014:10.1117/1.JMI.1.3.037001,
author = {Dhutia, NM and Cole, GD and Zolgharni, M and Manisty, CH and Willson, K and Parker, KH and Hughes, AD and Francis, DP},
doi = {10.1117/1.JMI.1.3.037001},
journal = {Journal of Medical Imaging},
title = {Automated speckle tracking algorithm to aid on-axis imaging in echocardiography},
url = {http://dx.doi.org/10.1117/1.JMI.1.3.037001},
volume = {1},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Obtaining a "correct" view in echocardiography is a subjective process in which an operator attempts to obtain images conforming to consensus standard views. Real-time objective quantification of image alignment may assist less experienced operators, but no reliable index yet exists. We present a fully automated algorithm for detecting incorrect medial/lateral translation of an ultrasound probe by image analysis. The ability of the algorithm to distinguish optimal from sub-optimal four-chamber images was compared to that of specialists-the current "gold-standard." The orientation assessments produced by the automated algorithm correlated well with consensus visual assessments of the specialists ([Formula: see text]) and compared favourably with the correlation between individual specialists and the consensus, [Formula: see text]. Each individual specialist's assessments were within the consensus of other specialists, [Formula: see text] of the time, and the algorithm's assessments were within the consensus of specialists 85% of the time. The mean discrepancy in probe translation values between individual specialists and their consensus was [Formula: see text], and between the automated algorithm and specialists' consensus was [Formula: see text]. This technology could be incorporated into hardware to provide real-time guidance for image optimisation-a potentially valuable tool both for training and quality control.
AU  - Dhutia,NM
AU  - Cole,GD
AU  - Zolgharni,M
AU  - Manisty,CH
AU  - Willson,K
AU  - Parker,KH
AU  - Hughes,AD
AU  - Francis,DP
DO  - 10.1117/1.JMI.1.3.037001
PY  - 2014///
SN  - 2329-4310
TI  - Automated speckle tracking algorithm to aid on-axis imaging in echocardiography
T2  - Journal of Medical Imaging
UR  - http://dx.doi.org/10.1117/1.JMI.1.3.037001
UR  - http://hdl.handle.net/10044/1/41808
VL  - 1
ER  -
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