A synthetic method for improving magnetic resonance image contrast: Simulation and phantom study

Yun Ni Ting; Po Chou Chen; Cheng Hsin Wang; Herng Hua Chang; Woei Chyn Chu

doi:10.1109/BMEI.2013.6746914

A synthetic method for improving magnetic resonance image contrast: Simulation and phantom study

Yun Ni Ting, Po Chou Chen, Cheng Hsin Wang, Herng Hua Chang, Woei Chyn Chu

Department of Biomedical Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

Magnetic resonance imaging has been widely applied in many clinical diagnoses. In order to increase the accuracy of diagnosis, it is crucial to improve the image quality. This paper proposed a method that modifies the bilateral filter with automatic parameter selection in local contrast correction (LCC) capable to adjust image contrast while maintaining high image quality in MRI. The proposed approach was validated by using both simulated images and MR images of an ACR phantom. The results confirmed that the proposed method outperforms several existing methods in both quantitative measurements and visual evaluations.

Original language	English
Pages	96-100
Number of pages	5
DOIs	https://doi.org/10.1109/BMEI.2013.6746914
State	Published - 2013
Event	2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013 - Hangzhou, China Duration: 16 Dec 2013 → 18 Dec 2013

Conference

Conference	2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013
Country/Territory	China
City	Hangzhou
Period	16/12/13 → 18/12/13

Keywords

automatic biliteral filtering
local contrast correction
MRI

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10.1109/BMEI.2013.6746914

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abstract = "Magnetic resonance imaging has been widely applied in many clinical diagnoses. In order to increase the accuracy of diagnosis, it is crucial to improve the image quality. This paper proposed a method that modifies the bilateral filter with automatic parameter selection in local contrast correction (LCC) capable to adjust image contrast while maintaining high image quality in MRI. The proposed approach was validated by using both simulated images and MR images of an ACR phantom. The results confirmed that the proposed method outperforms several existing methods in both quantitative measurements and visual evaluations.",

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author = "Ting, {Yun Ni} and Chen, {Po Chou} and Wang, {Cheng Hsin} and Chang, {Herng Hua} and Chu, {Woei Chyn}",

year = "2013",

doi = "10.1109/BMEI.2013.6746914",

language = "English",

pages = "96--100",

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T2 - 2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013

AU - Ting, Yun Ni

AU - Chen, Po Chou

AU - Wang, Cheng Hsin

AU - Chang, Herng Hua

AU - Chu, Woei Chyn

PY - 2013

Y1 - 2013

N2 - Magnetic resonance imaging has been widely applied in many clinical diagnoses. In order to increase the accuracy of diagnosis, it is crucial to improve the image quality. This paper proposed a method that modifies the bilateral filter with automatic parameter selection in local contrast correction (LCC) capable to adjust image contrast while maintaining high image quality in MRI. The proposed approach was validated by using both simulated images and MR images of an ACR phantom. The results confirmed that the proposed method outperforms several existing methods in both quantitative measurements and visual evaluations.

AB - Magnetic resonance imaging has been widely applied in many clinical diagnoses. In order to increase the accuracy of diagnosis, it is crucial to improve the image quality. This paper proposed a method that modifies the bilateral filter with automatic parameter selection in local contrast correction (LCC) capable to adjust image contrast while maintaining high image quality in MRI. The proposed approach was validated by using both simulated images and MR images of an ACR phantom. The results confirmed that the proposed method outperforms several existing methods in both quantitative measurements and visual evaluations.

KW - automatic biliteral filtering

KW - local contrast correction

KW - MRI

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DO - 10.1109/BMEI.2013.6746914

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Y2 - 16 December 2013 through 18 December 2013

ER -

A synthetic method for improving magnetic resonance image contrast: Simulation and phantom study

Abstract

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Keywords

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