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Title: Differential sampling applied to mammography image simulation

Abstract

Differential sampling is a powerful tool that allows Monte Carlo to compute derivatives of responses with respect to certain problem parameters. This capability has been implemented within an in-house Monte Carlo code that simulates detailed mammographic images from two new digital systems. Differential sampling allows for the calculation of the first and all second derivatives of all of the different tallies computed by the code as well as the first and second derivatives of the mammographic image itself with respect to material parameters, such as density and cross sections. The theory behind differential sampling is explained, the methodology for implementation into the imaging code is discussed, and two problems are used to demonstrate the power of differential sampling.

Authors:
;
Publication Date:
Research Org.:
Oak Ridge National Lab., TN (US)
OSTI Identifier:
20067743
Resource Type:
Journal Article
Journal Name:
Nuclear Science and Engineering
Additional Journal Information:
Journal Volume: 135; Journal Issue: 2; Other Information: PBD: Jun 2000; Journal ID: ISSN 0029-5639
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; MAMMARY GLANDS; BIOMEDICAL RADIOGRAPHY; MONTE CARLO METHOD; IMAGES; DIGITAL SYSTEMS

Citation Formats

Peplow, D.E., and Verghese, K. Differential sampling applied to mammography image simulation. United States: N. p., 2000. Web.
Peplow, D.E., & Verghese, K. Differential sampling applied to mammography image simulation. United States.
Peplow, D.E., and Verghese, K. Thu . "Differential sampling applied to mammography image simulation". United States.
@article{osti_20067743,
title = {Differential sampling applied to mammography image simulation},
author = {Peplow, D.E. and Verghese, K.},
abstractNote = {Differential sampling is a powerful tool that allows Monte Carlo to compute derivatives of responses with respect to certain problem parameters. This capability has been implemented within an in-house Monte Carlo code that simulates detailed mammographic images from two new digital systems. Differential sampling allows for the calculation of the first and all second derivatives of all of the different tallies computed by the code as well as the first and second derivatives of the mammographic image itself with respect to material parameters, such as density and cross sections. The theory behind differential sampling is explained, the methodology for implementation into the imaging code is discussed, and two problems are used to demonstrate the power of differential sampling.},
doi = {},
journal = {Nuclear Science and Engineering},
issn = {0029-5639},
number = 2,
volume = 135,
place = {United States},
year = {2000},
month = {6}
}