Image reconstruction using spatial sensitivity profile with the constraint of spatial frequency in image for near-infrared topography

Hiroshi Kawaguchi; Eiji Okada

doi:10.1117/12.632871

25 October 2005 Image reconstruction using spatial sensitivity profile with the constraint of spatial frequency in image for near-infrared topography

Hiroshi Kawaguchi, Eiji Okada

Author Affiliations +

Proceedings Volume 5859, Photon Migration and Diffuse-Light Imaging II; 585915 (2005) https://doi.org/10.1117/12.632871
Event: European Conferences on Biomedical Optics 2005, 2005, Munich, Germany

Abstract

The spatial resolution of current near-infrared topography is not enough for clinical application. In this study, the image reconstruction algorithm using prior knowledge about spatial sensitivity profile in the tissue and constraint of spatial frequency in image was proposed and was evaluated by simulation. The spatial resolution of topographic image obtained from the image reconstruction method is better than that obtained from the conventional mapping-interpolation method. The most appropriate cut-off frequency for the constraint for the image reconstruction method depends on the arrangement of fibres.

Citation Download Citation

Hiroshi Kawaguchi and Eiji Okada "Image reconstruction using spatial sensitivity profile with the constraint of spatial frequency in image for near-infrared topography", Proc. SPIE 5859, Photon Migration and Diffuse-Light Imaging II, 585915 (25 October 2005); https://doi.org/10.1117/12.632871

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