Tests of projection and reconstruction domain equivalence for a feature-driven model observer

Howard C. Gifford; Zohreh Karbaschi

doi:10.1117/12.2512900

5 March 2019 Tests of projection and reconstruction domain equivalence for a feature-driven model observer

Howard C. Gifford, Zohreh Karbaschi

Author Affiliations +

Proceedings Volume 10952, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment; 109520B (2019) https://doi.org/10.1117/12.2512900
Event: SPIE Medical Imaging, 2019, San Diego, California, United States

Abstract

Nonlinear visual-search (VS) observers have shown an ability to model humans for realistic detection, localization, and classification tasks with tomographic reconstructions. As reconstruction studies test the joint effects of data acquisition and postprocessing, applying observers for similar tasks in the projection domain is also of interest. To help investigate what information a non-ideal model can provide in this role, we have developed an analytical method for assessing acquisition quality in the reconstruction domain. This approach is most useful for assessing acquisition quality based on lesion-localization tasks. Observer studies with simulated Ga-67 SPECT data were conducted to test our method. The data were acquired for different numbers of projection angles. The results illustrate how image reconstruction processes can improve on acquisition quality as measured for an anthropomorphic model observer.

Citation Download Citation

Howard C. Gifford and Zohreh Karbaschi "Tests of projection and reconstruction domain equivalence for a feature-driven model observer", Proc. SPIE 10952, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, 109520B (5 March 2019); https://doi.org/10.1117/12.2512900

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
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Expectation maximization algorithms

Reconstruction algorithms

Data acquisition

Feature extraction

Image processing

Image quality

Data modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years