Using MPEG-7 to build a human brain image database for image-guided neurosurgery

Manjeet Rege; Ming Dong; Farshad Fotouhi; Mohammad-Reza Siadat; Lucia Zamorano

doi:10.1117/12.594638

12 April 2005 Using MPEG-7 to build a human brain image database for image-guided neurosurgery

Manjeet Rege, Ming Dong, Farshad Fotouhi, Mohammad-Reza Siadat, Lucia Zamorano

Proceedings Volume 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display; (2005) https://doi.org/10.1117/12.594638
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

Multimedia annotation is domain specific and is assigned with the help of a domain expert to semantically enrich the data. These annotations are used for not only retrieval tasks but also to answer domain specific complex queries. To accomplish this, we propose to use MPEG-7 to annotate medical images and capture semantic information. In particular, we discuss the MPEG-7 based annotations for images of a human brain. Using MPEG-7, human brain images can be represented in an XML format. This MPEG-7 based XML file can be used to store the semantic medical information along with the low level features of the image. We also present the database design to store and query the patient images for image-guided neurosurgery.

Citation Download Citation

Manjeet Rege, Ming Dong, Farshad Fotouhi, Mohammad-Reza Siadat, and Lucia Zamorano "Using MPEG-7 to build a human brain image database for image-guided neurosurgery", Proc. SPIE 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display, (12 April 2005); https://doi.org/10.1117/12.594638

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available