Application of stochastic resonance for imaging enhancement of computed tomography in hepatocellular carcinoma

Jia Rong Yeh; Wei Tai Hsu; Yi Chung Chang; Men Tzung Lo; Yi Hsien Lin

doi:10.1109/BIBMW.2011.6112514

Application of stochastic resonance for imaging enhancement of computed tomography in hepatocellular carcinoma

Jia Rong Yeh, Wei Tai Hsu, Yi Chung Chang, Men Tzung Lo, Yi Hsien Lin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Contrast-enhanced computed tomography (CT) played an important role in detection of hepatocellular carcinoma (HCC). However, it's contraindication to use contrast media in patients with some comorbidities. In this study, an approach for enhancement of CT images of HCC utilizing stochastic resonance (SR), a transform based method, is introduced. A series of CT images of HCC were obtained. The non-contrast-enhanced images were processed by SR. According to the results of applications of SR, it significantly increases the signal-to-noise ratio and enhances the degree of order in a system with appropriate tuning of the noise intensity and adjusting of the threshold. In this application of CT image enhancement, SR uses the ubiquitous random perturbations of noise with appropriate intensity to emphasize the gray- level range of interest. HCC was well visualized on SR enhanced images. Furthermore, a measure of image enhancement related with concepts of the Webers Low of the human visual system was applied to quantify the enhancement contributed by SR. The values of measure of enhancement or measure of improvement (EME) for the original CT images performed mean and standard deviation of 2.615 ± 2.147, and 6.257 ± 1.189 for the enhanced CT images.

Original language	English
Title of host publication	2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
Pages	945-947
Number of pages	3
DOIs	https://doi.org/10.1109/BIBMW.2011.6112514
State	Published - 2011
Event	2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 - Atlanta, GA, United States Duration: 12 Nov 2011 → 15 Nov 2011

Publication series

Name	2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

Conference

Conference	2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
Country/Territory	United States
City	Atlanta, GA
Period	12/11/11 → 15/11/11

Keywords

computed tomographyn (CT)
hepatocellular carcinoma (HCC)
image enhancement
stochastic resonance (SR)

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10.1109/BIBMW.2011.6112514

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Yeh, J. R., Hsu, W. T., Chang, Y. C., Lo, M. T., & Lin, Y. H. (2011). Application of stochastic resonance for imaging enhancement of computed tomography in hepatocellular carcinoma. In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 (pp. 945-947). Article 6112514 (2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011). https://doi.org/10.1109/BIBMW.2011.6112514

Yeh, Jia Rong ; Hsu, Wei Tai ; Chang, Yi Chung et al. / Application of stochastic resonance for imaging enhancement of computed tomography in hepatocellular carcinoma. 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011. 2011. pp. 945-947 (2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011).

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title = "Application of stochastic resonance for imaging enhancement of computed tomography in hepatocellular carcinoma",

abstract = "Contrast-enhanced computed tomography (CT) played an important role in detection of hepatocellular carcinoma (HCC). However, it's contraindication to use contrast media in patients with some comorbidities. In this study, an approach for enhancement of CT images of HCC utilizing stochastic resonance (SR), a transform based method, is introduced. A series of CT images of HCC were obtained. The non-contrast-enhanced images were processed by SR. According to the results of applications of SR, it significantly increases the signal-to-noise ratio and enhances the degree of order in a system with appropriate tuning of the noise intensity and adjusting of the threshold. In this application of CT image enhancement, SR uses the ubiquitous random perturbations of noise with appropriate intensity to emphasize the gray- level range of interest. HCC was well visualized on SR enhanced images. Furthermore, a measure of image enhancement related with concepts of the Webers Low of the human visual system was applied to quantify the enhancement contributed by SR. The values of measure of enhancement or measure of improvement (EME) for the original CT images performed mean and standard deviation of 2.615 ± 2.147, and 6.257 ± 1.189 for the enhanced CT images.",

keywords = "computed tomographyn (CT), hepatocellular carcinoma (HCC), image enhancement, stochastic resonance (SR)",

author = "Yeh, {Jia Rong} and Hsu, {Wei Tai} and Chang, {Yi Chung} and Lo, {Men Tzung} and Lin, {Yi Hsien}",

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Yeh, JR, Hsu, WT, Chang, YC, Lo, MT & Lin, YH 2011, Application of stochastic resonance for imaging enhancement of computed tomography in hepatocellular carcinoma. in 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011., 6112514, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011, pp. 945-947, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011, Atlanta, GA, United States, 12/11/11. https://doi.org/10.1109/BIBMW.2011.6112514

Application of stochastic resonance for imaging enhancement of computed tomography in hepatocellular carcinoma. / Yeh, Jia Rong; Hsu, Wei Tai; Chang, Yi Chung et al.
2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011. 2011. p. 945-947 6112514 (2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hsu, Wei Tai

AU - Chang, Yi Chung

AU - Lo, Men Tzung

AU - Lin, Yi Hsien

PY - 2011

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N2 - Contrast-enhanced computed tomography (CT) played an important role in detection of hepatocellular carcinoma (HCC). However, it's contraindication to use contrast media in patients with some comorbidities. In this study, an approach for enhancement of CT images of HCC utilizing stochastic resonance (SR), a transform based method, is introduced. A series of CT images of HCC were obtained. The non-contrast-enhanced images were processed by SR. According to the results of applications of SR, it significantly increases the signal-to-noise ratio and enhances the degree of order in a system with appropriate tuning of the noise intensity and adjusting of the threshold. In this application of CT image enhancement, SR uses the ubiquitous random perturbations of noise with appropriate intensity to emphasize the gray- level range of interest. HCC was well visualized on SR enhanced images. Furthermore, a measure of image enhancement related with concepts of the Webers Low of the human visual system was applied to quantify the enhancement contributed by SR. The values of measure of enhancement or measure of improvement (EME) for the original CT images performed mean and standard deviation of 2.615 ± 2.147, and 6.257 ± 1.189 for the enhanced CT images.

AB - Contrast-enhanced computed tomography (CT) played an important role in detection of hepatocellular carcinoma (HCC). However, it's contraindication to use contrast media in patients with some comorbidities. In this study, an approach for enhancement of CT images of HCC utilizing stochastic resonance (SR), a transform based method, is introduced. A series of CT images of HCC were obtained. The non-contrast-enhanced images were processed by SR. According to the results of applications of SR, it significantly increases the signal-to-noise ratio and enhances the degree of order in a system with appropriate tuning of the noise intensity and adjusting of the threshold. In this application of CT image enhancement, SR uses the ubiquitous random perturbations of noise with appropriate intensity to emphasize the gray- level range of interest. HCC was well visualized on SR enhanced images. Furthermore, a measure of image enhancement related with concepts of the Webers Low of the human visual system was applied to quantify the enhancement contributed by SR. The values of measure of enhancement or measure of improvement (EME) for the original CT images performed mean and standard deviation of 2.615 ± 2.147, and 6.257 ± 1.189 for the enhanced CT images.

KW - computed tomographyn (CT)

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DO - 10.1109/BIBMW.2011.6112514

M3 - 會議論文篇章

AN - SCOPUS:84862969872

SN - 9781457716133

T3 - 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

SP - 945

EP - 947

BT - 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

T2 - 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

Y2 - 12 November 2011 through 15 November 2011

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Yeh JR, Hsu WT, Chang YC, Lo MT, Lin YH. Application of stochastic resonance for imaging enhancement of computed tomography in hepatocellular carcinoma. In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011. 2011. p. 945-947. 6112514. (2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011). doi: 10.1109/BIBMW.2011.6112514

Application of stochastic resonance for imaging enhancement of computed tomography in hepatocellular carcinoma

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