Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Dec. 2015, Honolulu)
Visualization method of MR images useful for informed consent supported by augmented reality
Kaoru Kouzu
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2016 Volume 2016 Pages 293-298

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Abstract

In recent years, informed consent has become more and more important in every area of medical care. It is expected that new techniques for recognizing MR images will be developed. The Medical doctors look for indications of disease by using a color system in MR images and then they explain it to there patients. However, it is often difficult for patients to understand the explanations. In this case time, the use of AR (augmented reality) will be appropriate. Introducing this technique to patients will help then to recognize and understand two pictures of the MRI system. The method is based on the ideas proposed by our team of researchers. The MR images give two kinds of weighted images: T1 and T2. We have developed a make the system which extracts tissue by comparing both weighted images. We can extract a specific tissue by setting the threshold value. The extracted tissues are mapped and superimposed over the original images. The AR contents are extracted from samples of water and fat. We are currently using software called the software “Metaio Creator”. The image of the brain is the AR marker. The software recognizes the image and shows an image which is easier for the patient to understand. We have succeeded in creating a visualization of AR. We can see an image of the extracted sample by looking at the tablet. The brain image markers are displayed.

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© 2016 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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