Unsupervised classification of multiecho magnetic resonance images of the pediatric brain with implicit spatial and statistical hypotheses validation

James B. Perkins; Ian R. Greenshields; Francis DiMario M.D.; Gale Ramsby M.D.

doi:10.1117/12.154523

14 September 1993 Unsupervised classification of multiecho magnetic resonance images of the pediatric brain with implicit spatial and statistical hypotheses validation

James B. Perkins, Ian R. Greenshields, Francis DiMario M.D., Gale Ramsby M.D.

Author Affiliations +

Proceedings Volume 1898, Medical Imaging 1993: Image Processing; (1993) https://doi.org/10.1117/12.154523
Event: Medical Imaging 1993, 1993, Newport Beach, CA, United States

Abstract

We describe an image segmentation method applied to multi-echo MR images which is unsupervised in that the analyst need not specify prototypical tissue signatures to guide the segmentation. It is well known that different tissue types may be distinguished by their signatures in NMR parameter space (spin density and relaxation parameters T1 and T2). Also, normal tissue may be differentiated from abnormal by means of these signatures. Even though pixel intensity is proportional to weighted mixtures of these parameters in real images several researchers feel there is potential for better segmentation results by processing dual-echo images. These images are inherently registered and require no additional time to acquire the image for the second echo. Our segmentation procedure is a multi-step process in which tissue class mean vectors and covariance matrices are first determined by a clustering technique. The goal here is to achieve an intermediate segmentation which may be subject to quantitative validation.

Citation Download Citation

James B. Perkins, Ian R. Greenshields, Francis DiMario M.D., and Gale Ramsby M.D. "Unsupervised classification of multiecho magnetic resonance images of the pediatric brain with implicit spatial and statistical hypotheses validation", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); https://doi.org/10.1117/12.154523

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