Morphological segmentation and 3-D rendering of the brain in magnetic resonance imaging

William H. Connor; Pedro J. Diaz

doi:10.1117/12.46127

1 July 1991 Morphological segmentation and 3-D rendering of the brain in magnetic resonance imaging

William H. Connor, Pedro J. Diaz

Proceedings Volume 1568, Image Algebra and Morphological Image Processing II; (1991) https://doi.org/10.1117/12.46127
Event: San Diego, '91, 1991, San Diego, CA, United States

Abstract

The authors have developed a morphological technique, based on geodesic dilation using fast propagation of regional maxima, for segmenting the skin, bone, and dura from 3-D MR studies of the head, exposing the outer surface of the brain for 3-D rendering. The proposed algorithm for segmentation belongs to the class of connectivity segmentation techniques and uses morphological gray scale reconstruction and the distance function to discriminate connections by their width. By following only the connections wider than a critical dimension, the connectivity does not extend outside of the brain through nerves and other small paths connecting the brain to other tissues. On an IBM 6000 RISC workstation, the entire segmentation process takes less than three seconds per slice. With the volume segmented, we render the brain using a modification of the rendering process proposed by Michael Bomans and Karl-Heinz Hohn for visualizing poorly defined surfaces such as the sulci of the brain. The modification uses a depth map transformation that permits replacing the compute-intensive 3-D closing with the rolling ball applied in 2-D. This method also eliminates the need to maintain two separate volumes for the rendering process.

Citation Download Citation

William H. Connor and Pedro J. Diaz "Morphological segmentation and 3-D rendering of the brain in magnetic resonance imaging", Proc. SPIE 1568, Image Algebra and Morphological Image Processing II, (1 July 1991); https://doi.org/10.1117/12.46127

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