Image Interpretation System for Informed Consent to Patients by Use of a Skeletal Tracking

In recent years, a variety of medical images are used for diagnosis. However, it is difficult to understand these images by patient without anatomical knowledge. In particular, CT images consist of large number of slice images. It causes a lack of understanding about positional information in their...

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Bibliographic Details
Published inInternational Journal of Computer Technology and Applications Vol. 3; no. 4; p. 1593
Main Authors Kamiya, Naoki, Osaki, Hiroki, Kondo, Jun, Chen, Huayue, Fujita, Hiroshi
Format Journal Article
LanguageEnglish
Published 01.07.2012
Subjects
Cross sections
Informed consent
Markers
Mathematical analysis
Movements
Patients
Tracking
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Summary:In recent years, a variety of medical images are used for diagnosis. However, it is difficult to understand these images by patient without anatomical knowledge. In particular, CT images consist of large number of slice images. It causes a lack of understanding about positional information in their body. This will adversely affect the first-person informed consent (IC). We developed an image interpretation system for the patient. Our purpose of this system is patient participation in clinical site. This system is based on the skeletal tracking for recognizing patient's hand movements and determines the relative position of the body. The skeletal tracking has been implemented using the MicrosoftKinect sensor with official SDK (KinectSDK-v1.0-bata2-x86). We performed association of tracking marker and a CT number. Finally, the calculated CT images are displayed on the iPad handled with the patient. We tested the effectiveness of the proposed system in cooperation with volunteer subjects without anatomical knowledge. As a result, they were able to properly identify the proposed position of the cross-sectional image than before.
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ISSN:2229-6093