Figures of merit for optimizing imaging systems on joint estimation/detection tasks

Eric Clarkson

doi:10.1117/12.2223502

12 May 2016 Figures of merit for optimizing imaging systems on joint estimation/detection tasks

Eric Clarkson

Author Affiliations +

Proceedings Volume 9847, Anomaly Detection and Imaging with X-Rays (ADIX); 98470S (2016) https://doi.org/10.1117/12.2223502
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

Previously published work on joint estimation/detection tasks has focused on the area under the Estimation Receiver Operating Characteristic (EROC) curve as a figure of merit for these tasks in imaging. A brief discussion of this concept and the corresponding ideal observer is included here, but the main focus is on three new approaches for system optimization on these joint tasks. One of these approaches is a generalization of Shannon Task Specific Information (TSI) to this setting. The form of this TSI is used to show that a system optimized for the joint task will not in general be optimized for the detection task alone. Another figure of merit for these joint tasks is the Bayesian Risk, where a cost is assigned to all detection outcomes and to the estimation errors, and then averaged over all sources of randomness in the object ensemble and the imaging system. The ideal observer in this setting, which minimizes the risk, is shown to be the same as the ideal EROC observer, which maximizes the area under the EROC curve. It is also shown that scaling the estimation cost function upwards, i.e making the estimation task more important, degrades the performance of this ideal observer on the detection component of the joint task. Finally we generalize these concepts to the idea of Estimation/Detection Information Tradeoff (EDIT) curves which can be used to quantify the tradeof between estimation performance and detection performance in system design.

Citation Download Citation

Eric Clarkson "Figures of merit for optimizing imaging systems on joint estimation/detection tasks", Proc. SPIE 9847, Anomaly Detection and Imaging with X-Rays (ADIX), 98470S (12 May 2016); https://doi.org/10.1117/12.2223502

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Imaging systems

Error analysis

Signal detection

Receivers

3D image processing

X-ray imaging

3D image reconstruction

Show All Keywords

Keywords/Phrases

Search In:

Publication Years