Cart (Loading....) | Create Account
Close category search window
 

A Tangible Medical Image Processing Assistant with Haptic Modality

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jiaqing Lin ; Dept. of Comput. Sci. & Intell. Syst., Oita Univ., Oita, Japan ; Nishino, H. ; Kagawa, T. ; Utsumiya, K.

Recently, the progresses of human-computer interface technology implemented on tablet PCs (personal computers) enables medical workers to utilize them for communications between patients and doctors at the time of condition analysis and diagnosis. Because general patients cannot understand medical images alone, the technology assists them to intuitively understand the images and easily communicate with doctors. We propose a tangible medical image processing assistant with haptic modality. Our main goal is to construct a method allowing users to easily interacting and exploring medical images with haptic modality. Diagnostic imaging with a series of CT scan images is very important way for doctors to detect problems. Because the doctors need to view a huge number of high resolution images in a day, excessive burdens on their vision become a very serious problem. We propose a new method of assisting the diagnostic imaging with integrated visual and haptic channels. The proposed method extracts some visual features observed in the images and transforms to haptic parameters. Then, the system visually and haptically notifies the doctors for possible existence of suspicious findings in the images. It calls their attention to focus on the specific images to narrow the differential diagnosis of the images.

Published in:

Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on

Date of Conference:

4-6 July 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.