Evaluation of shape recognition abilities for a micro-lens array based optical detector by a dedicated simulation framework

Xiaoming Jiang; Liji Cao; Wolfhard Semmler; Jörg Peter

doi:10.1117/12.2003882

13 March 2013 Evaluation of shape recognition abilities for a micro-lens array based optical detector by a dedicated simulation framework

Xiaoming Jiang, Liji Cao, Wolfhard Semmler, Jörg Peter

Author Affiliations +

Proceedings Volume 8573, Design and Quality for Biomedical Technologies VI; 85730Q (2013) https://doi.org/10.1117/12.2003882
Event: SPIE BiOS, 2013, San Francisco, California, United States

Abstract

A micro-lens array based optical detector (MLA-D) has been developed for preclinical in vivo optical imaging applications. While primarily intended for detecting signals from molecular optical probes within living subjects (mice), the MLA-D also can be used effectively to capture the surface of the imaged object in three dimensions from only a few projection angles - a feature that is very important for in vivo optical imaging. In order to study the shape recognition ability of the MLA-D design we have developed a ray-tracing simulation framework. The impact of the following physical MLA-D parameters on surface recognition efficiency can be studied: micro-lens diameter, micro-lens focal length, and sensor pixel size. By using this framework the performance of two surface recognition algorithms - the optical flow method and the multi-projection surface reconstruction (back-projection) method - has been assessed within the specific context of preclinical imaging application. By way of example, the commonly used DigiMouse dataset is adopted to generate simulated raw image data. Results of the simulation framework conform well with the depth-of-field theory, and both surface recognition methods yield comparable, but unsatisfactory results. Whereas the optical flow method reveals the relative shape of the phantom at a comparatively lesser spatial and depth resolution, the back-projection method, while providing higher resolution data, could not resolve concave regions in all cases which needs further investigation. Very promising preliminary results have been attained, however, with the multi-view stereo algorithm that has been implemented most recently.

Citation Download Citation

Xiaoming Jiang, Liji Cao, Wolfhard Semmler, and Jörg Peter "Evaluation of shape recognition abilities for a micro-lens array based optical detector by a dedicated simulation framework", Proc. SPIE 8573, Design and Quality for Biomedical Technologies VI, 85730Q (13 March 2013); https://doi.org/10.1117/12.2003882

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