A histogram-based technique for echocardiographic image enhancement

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NETL
IEEE

外文摘要：Echocardiography is a very powerful diagnostic tool。 However， the acquired images are often noisy and difficult to interpret。 One well-known technique for image-enhancement is to apply predefined gray-level intensity transformations， or brightness transfer functions (BTFs)。 This paper presents an innovative algorithm， called ABTF (adaptive brightness transfer function)， designed to optimally determine the gray-levels used for each specific echocardiographic cine-loop。 The algorithm applies automatic segmentation to the initial gray-level histogram， based on curve fitting to the sum of three Gaussian functions， each of which is correlated to a different tissue type。 A different procedure is applied to each segment。 The ABTF algorithm has been tested on 23 cine-loops from 10 different patients， with varying degrees of echogenicity。 The results are clearly superior to the original images， with a much better contrast and richer gray-levels within the cardiac muscle。

外文关键词：

echocardiographymedical image processingimage enhancementimage segmentationmuscleGaussian processescurve fittinghistogram-based techniqueechocardiographic image enhancementpredefined gray-level intensity transformationadaptive brightness transfer functionechocardiographic cine-loopautomatic segmentationcurve fittingGaussian functionbiological tissueechogenicitycardiac muscle

作者：

G. Zwirn、S. Akselrod

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作者单位：

Tel Aviv Univ., Israel

会议母体文献：

Computers in Cardiology, 2004

页码：

p.81-84

出版时间：

2004

DOI：

10.1109/CIC.2004.1442876