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

生物醫學工程學系

研究成果: Paper › 同行評審

摘要

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.

原文	English
頁面	96-100
頁數	5
DOIs	https://doi.org/10.1109/BMEI.2013.6746914
出版狀態	Published - 2013
事件	2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013 - Hangzhou, China 持續時間: 16 12月 2013 → 18 12月 2013

Conference

Conference	2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013
國家/地區	China
城市	Hangzhou
期間	16/12/13 → 18/12/13

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10.1109/BMEI.2013.6746914

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title = "A synthetic method for improving magnetic resonance image contrast: Simulation and phantom study",

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.",

keywords = "automatic biliteral filtering, local contrast correction, MRI",

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",

note = "2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013 ; Conference date: 16-12-2013 Through 18-12-2013",

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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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Y2 - 16 December 2013 through 18 December 2013

ER -

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

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