Characterization of speckle noise in three dimensional ultrasound data of material components

Ahmad Osman; Valerie Kaftandjian; Ahmad Osman; Valerie Kaftandjian

doi:10.3934/matersci.2017.4.920

AIMS Materials Science

2017, Volume 4, Issue 4: 920-938. doi: 10.3934/matersci.2017.4.920

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Research article

Characterization of speckle noise in three dimensional ultrasound data of material components

Ahmad Osman ^{1
,
,},
Valerie Kaftandjian ²

1.
University of Applied Sciences, Saarland, htw saar, Goebenstrasse 40, 66117 Saarbuecken,Germany
2.
Vibrations and Acoustic Laboratory, INSA-Lyon, 25 bis avenue Jean Capelle F-69621 VilleurbanneCedex, France

Received: 11 July 2017 Accepted: 21 August 2017 Published: 25 August 2017

Ultrasound waves are preferably used as means to provide details about the inner structure of materials, thus providing a way to non-destructively evaluate the quality of produced components. Nevertheless, ultrasonic data are strongly affected by a multiplicative type of noise referred to as speckle noise. Within this paper, the modeling of the intensity distribution within ultrasound images and volumetric data is addressed through parametric approach modeling. The proposed model was compared with the state of the art models through measuring the corresponding goodness of fit of each model to the actual data distribution. The data were acquired on aluminum, ceramic and composite structures.
- full matrix capture,
- sampling phased array,
- composite materials,
- aluminum,
- ceramic,
- speckle noise
Citation: Ahmad Osman, Valerie Kaftandjian. Characterization of speckle noise in three dimensional ultrasound data of material components[J]. AIMS Materials Science, 2017, 4(4): 920-938. doi: 10.3934/matersci.2017.4.920

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Abstract

Ultrasound waves are preferably used as means to provide details about the inner structure of materials, thus providing a way to non-destructively evaluate the quality of produced components. Nevertheless, ultrasonic data are strongly affected by a multiplicative type of noise referred to as speckle noise. Within this paper, the modeling of the intensity distribution within ultrasound images and volumetric data is addressed through parametric approach modeling. The proposed model was compared with the state of the art models through measuring the corresponding goodness of fit of each model to the actual data distribution. The data were acquired on aluminum, ceramic and composite structures.

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