Search Results for author: Andrew D. A. Maidment

Found 4 papers, 0 papers with code

On anthropomorphic decision making in a model observer

no code implementations30 Jun 2015 Ali R. N. Avanaki, Kathryn S. Espig, Tom R. L. Kimpe, Andrew D. A. Maidment

By analyzing human readers' performance in detecting small round lesions in simulated digital breast tomosynthesis background in a location known exactly scenario, we have developed a model observer that is a better predictor of human performance with different levels of background complexity (i. e., anatomical and quantum noise).

Decision Making Human Detection +1

It is hard to see a needle in a haystack: Modeling contrast masking effect in a numerical observer

no code implementations5 Aug 2014 Ali R. N. Avanaki, Kathryn S. Espig, Albert Xthona, Tom R. L. Kimpe, Predrag R. Bakic, Andrew D. A. Maidment

Within the framework of a virtual clinical trial for breast imaging, we aim to develop numerical observers that follow the same detection performance trends as those of a typical human observer.

Development and evaluation of a 3D model observer with nonlinear spatiotemporal contrast sensitivity

no code implementations24 Mar 2014 Ali R. N. Avanaki, Kathryn S. Espig, Andrew D. A. Maidment, Cedric Marchessoux, Predrag R. Bakic, Tom R. L. Kimpe

The probability p is considered to be equal to the perceived amplitude of the frequency component and thus can be used by a traditional model observer (e. g., LG-msCHO) in the space-time domain.


Integration of spatio-temporal contrast sensitivity with a multi-slice channelized Hotelling observer

no code implementations4 Apr 2013 Ali N. Avanaki, Kathryn S. Espig, Cedric Marchessoux, Elizabeth A. Krupinski, Predrag R. Bakic, Tom R. L. Kimpe, Andrew D. A. Maidment

Detection performance of the new observer in digital breast tomosynthesis is measured in a variety of browsing speeds, at two spatial sampling rates, using computer simulations.

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