Classification of tissue-types by combining relaxation labeling with edge detection

Prakash Adiseshan; Tracy L. Faber

doi:10.1117/12.45210

1 June 1991 Classification of tissue-types by combining relaxation labeling with edge detection

Prakash Adiseshan, Tracy L. Faber

Proceedings Volume 1445, Medical Imaging V: Image Processing; (1991) https://doi.org/10.1117/12.45210
Event: Medical Imaging '91, 1991, San Jose, CA, United States

Abstract

Classification of tissue-types in Magnetic Resonance (MR) images has received considerable attention in the medical image processing literature. Interpretation of MR images is based on multiple images corresponding to the same anatomy. Relaxation Labeling (RL) is a commonly used low-level technique in computer vision. We present a solution method for the classification of tissue-types in brain MR images using RL. Information from multiple images is combined to form an initial classification. RL is used to resolve the ambiguity present in the initial classification by incorporating user specified compatibility coefficients. A problem with RL is the smoothing of borders between tissue-types. We include edge information from the original images to overcome this problem. This results in a marked improvement in performance. We present results from patient images.

Citation Download Citation

Prakash Adiseshan and Tracy L. Faber "Classification of tissue-types by combining relaxation labeling with edge detection", Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991); https://doi.org/10.1117/12.45210

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