Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering

DICOM Medical Image Browser Design and Implementation Based on iOS System

Authors
Nan Bao, Cheng Liu, Yao Li, Xuxiang Zhong, Yan Kang
Corresponding Author
Nan Bao
Available Online November 2014.
DOI
10.2991/meic-14.2014.134How to use a DOI?
Keywords
iOS; The image browser; MPR; Increment coordinate; DICOM analysis
Abstract

Now, the iPhone/iPad have been widely used in the daily life. If we can apply this into the healthcare field, it will improve the efficiency for the doctor to scan the medical images information. In this case, we designed and developed a DICOM image portable browsing terminal system based on the iOS platform. It was developed by the Xcode, and contains the features that data synchronization, DICOM files parsing, multi-planar reconstruction(MPR) , transferring the window, zoom, and translation of DICOM images. Because the portable devices possess several limitations relatively to PCs, such as low frequency, low memory and poor computing, etc, we used a multi-planar reconstruction accelerated method based on the incremental coordinate’ transformation calculation method, which has greatly improved the multi-planer reconstruction speed, and the fluency and operability of the system,. All of them have made the system extremely conveniently, stability and maneuverability. It can be widely used in the whole machine of iOS system for the doctor intelligent diagnostic, has great clinical application value.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
Series
Advances in Engineering Research
Publication Date
November 2014
ISBN
978-94-62520-42-4
ISSN
2352-5401
DOI
10.2991/meic-14.2014.134How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Nan Bao
AU  - Cheng Liu
AU  - Yao Li
AU  - Xuxiang Zhong
AU  - Yan Kang
PY  - 2014/11
DA  - 2014/11
TI  - DICOM Medical Image Browser Design and Implementation Based on iOS System
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 596
EP  - 601
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.134
DO  - 10.2991/meic-14.2014.134
ID  - Bao2014/11
ER  -