A mathematical framework for including various sources of variability in a task-based assessment of digital breast tomosynthesis

Subok Park; Andreu Badal; Stefano Young; Kyle J. Myers

doi:10.1117/12.911241

3 March 2012 A mathematical framework for including various sources of variability in a task-based assessment of digital breast tomosynthesis

Subok Park, Andreu Badal, Stefano Young, Kyle J. Myers

Author Affiliations +

Proceedings Volume 8313, Medical Imaging 2012: Physics of Medical Imaging; 83134S (2012) https://doi.org/10.1117/12.911241
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

For a rigorous x-ray imaging system optimization and evaluation, the need for exploring a large space of many different system parameters is immense. However, due to the high dimensionality of the problem, it is often infeasible to evaluate many system parameters in a laboratory setting. Therefore, it is useful to utilize computer simulation tools and analytical methods to narrow down to a much smaller space of system parameters and then validate the chosen optimal parameters by laboratory measurements. One great advantage of using the simulation and analytical methods is that the impact of various sources of variability on the system's diagnostic performance can be studied separately and collectively. Previously, we have demonstrated how to separate and analyze noise sources using covariance decomposition in a task-based approach to the assessment of digital breast tomosynthesis (DBT) systems in the absence of x-ray scatter and detector blur.^{1, 2} In this work, we analytically extend the previous work to include x-ray scatter and detector blur. With use of computer simulation, we also investigate the use of the convolution method for approximating the scatter images of structured phantoms in comparison to those computed via Monte Carlo. The extended method is comprehensive and can be used both for exploring a large parameter space in simulation and for validating optimal parameters, chosen from a simulation study, with laboratory measurements.

Citation Download Citation

Subok Park, Andreu Badal, Stefano Young, and Kyle J. Myers "A mathematical framework for including various sources of variability in a task-based assessment of digital breast tomosynthesis", Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83134S (3 March 2012); https://doi.org/10.1117/12.911241

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