Parsimonious model selection for tissue classification: a DTI study of zebrafish

Raisa Z. Freidlin; Michal E. Komlosh; Murray H. Loew; Peter J. Basser

doi:10.1117/12.708312

8 March 2007 Parsimonious model selection for tissue classification: a DTI study of zebrafish

Raisa Z. Freidlin, Michal E. Komlosh, Murray H. Loew, Peter J. Basser

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 65122T (2007) https://doi.org/10.1117/12.708312
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

One aim of this work is to investigate the feasibility of using a hierarchy of models to describe diffusion tensor MRI data. Parsimonious model selection criteria are used to choose among different models of diffusion within tissue. Second, based on this information, we assess whether we can perform simultaneous tissue segmentation and classification. The proposed hierarchical framework used for parsimonious model selection is based on the F-test, adapted from Snedecor. Diffusion Magnetic Resonance Microscopy (MRM) provides near-microscopic resolution without relying on a sample's optical transparency for image formation. Diffusion MRM is a noninvasive imaging technique for quantitative analysis of intrinsic features of tissues. Thus, we propose using Diffusion MRM to characterize normal tissue structure in adult zebrafish, and possibly subtle anatomical or structural differences between normals and knockouts. Both numerical phantoms and diffusion weighted image (DWI) data obtained from adult zebrafish are used to test this model selection framework.

Citation Download Citation

Raisa Z. Freidlin, Michal E. Komlosh, Murray H. Loew, and Peter J. Basser "Parsimonious model selection for tissue classification: a DTI study of zebrafish", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65122T (8 March 2007); https://doi.org/10.1117/12.708312

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