Mobile techniques in medical imaging: Challenges and advances

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SUN Xinle CUI Yong ZHAI Tongtong CAO Shuailong WU Yaping WANG Meiyun LIN Yusong

Cite this article as: Sun XL, Cui Y, Zhai TT, et al. Mobile techniques in medical imaging: Challenges and advances[J]. Chin J Magn Reson Imaging, 2022, 13(12): 163-170. DOI:10.12015/issn.1674-8034.2022.12.031.

Abstract

[Abstract] As an interdisciplinary field of mobile computing and medical imaging, mobile medical imaging has attracted more and more attention from both academia and industry. By leveraging of mobile computing, wireless network, cloud computing and other technologies, mobile medical imaging has expanded the usability and coverage of traditional medical imaging applications, which has a good potential at medical image display, analysis, processing and diagnosis. Due to the complex mobile network environment, limited resources of mobile devices, large amount of medical image data and other factors, mobile medical imaging still faces many challenges. The research progress of key technologies of mobile medical imaging into six categories was classified in this paper, including transmission, storage, display, processing, data security and artificial intelligence applications. Meanwhile, based on the analysis of the current work, the future of mobile medical imaging was discussed.

[Keywords] medical imaging；mobile computing；mobile devices；medical image processing；magnetic resonance imaging；data security；artificial intelligence

Contributor Information

SUN Xinle^{1,
2}   CUI Yong³   ZHAI Tongtong^{1,
2}   CAO Shuailong^{1,
2}   WU Yaping⁴   WANG Meiyun⁴   LIN Yusong^{1,
2,
5*}

¹ School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou 450002, China

² Collaborative Innovation Center for Internet Healthcare, Zhengzhou University, Zhengzhou 450052, China

³ School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China

⁴ Department of Radiology, Henan Provincial People's Hospital, Zhengzhou 450003, China

⁵ Hanwei IoT Institute, Zhengzhou University, Zhengzhou 450002, China

Lin YS, E-mail: yslin@ha.edu.cn

Conflicts of interest None.

Publication Information

ACKNOWLEDGMENTS National Natural Science Foundation of China (No. 81772009).

Received 2022-10-27

Accepted 2022-12-11

DOI: 10.12015/issn.1674-8034.2022.12.031

Text

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