A mobile medical QR-code authentication system and its automatic FICE image evaluation application

 

Yi-Ying Chang^a*, Sheng-Lei Yan^b, Pin-Zhi Lin^c, Huai-Bin Zhong^a, Jacques Marescaux^d, Jenn-Lung Su^e, Min-Liang Wang^a-c, Pei-Yuan Lee^f,g

 

^a National Chin-Yi University of Technology, Taichung, Taiwan. *Corresponding author. E-mail address: tony@ncut.edu.tw

^b Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan.

^c IRCAD-Taiwan, Changhua, Taiwan.

^d IRCAD-France, Strasbourg, France.

^e ChungYung Christian University, Taoyuan, Taiwan

^f National Cheng Keng University, Tainan, Taiwan.

^g Changhua Show Chwan Memorial Hospital, Changhua, Taiwan.

 

Abstract

This paper presents an adaptive imaging technique run on a mobile service system for endoscopic image enhancement by using color transform and Gray Level Co-occurrence Matrices (GLCM) for a single input endoscopy image. The method is simply deal with the color image channels combination which chose the maximum scalar values of red, green and blue channel images, respectively. The GLCM subsequently applied for selecting the highest contrast and entropy images of the expanding image series. The enhanced endoscopy image is generated by fusing of the color, contrast and entropy images. We also proposed a service system with medical image retrieval application via quick response code authentication based on the Android operating system, which helps clinicians convenient in using mobile phone and reviewing images of the patient with cost efficiency. For the mobile technologies are growing rapidly, the mobile service system is installed to connect a Picture Archive and Communication Systems (PACS) system in hospital and applied for automatic evaluation of colon images screening. The experimental results show the proposed system is efficient for observing gastrointestinal tract polyp. The performance is evaluated and compared with Fujinon intelligent chromo endoscopy enhanced method.

Keywords: Mobile DICOM server; QR-code; Android; Endoscopy image enhancement; Fuji intelligent chromo endoscopy image evaluation; Early diagnosis.

 

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Acknowledgements

The support of this work was given in part by the National Science Council of Taiwan, R.O.C. under Grant NSC-101-2218-E-758-001 and NSC-2221-E-442-001-MY2 and is gratefully acknowledged.

 

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