Image and Dose Simulation in Support of New Mammography Modalities
This report summarizes the highlights of the research performed under the 2-year NEER grant from the Department of Energy. The primary outcome of the work was a new Monte Carlo code, MCMIS-DS, for Monte Carlo for Mammography Image Simulation including Differential Sampling. The code was written to generate simulated images and dose distributions from two different new digital x-ray imaging modalities, namely, synchrotron imaging (SI) and a slot geometry digital mammography system called Fisher Senoscan. A differential sampling scheme was added to the code to generate multiple images that included variations in the parameters of the measurement system and the object in a single execution of the code. The code is to serve multiple purposes; (1) to answer questions regarding the contribution of scattered photons to images, (2) for use in design optimization studies, and (3) to do up to second-order perturbation studies to assess the effects of design parameter variations and/or physical parameters of the object (the breast) without having to re-run the code for each set of varied parameters. The accuracy and fidelity of the code were validated by a large variety of benchmark studies using published data and also using experimental results from mammography phantoms on both imaging modalities.
- Research Organization:
- North Carolina State University (US)
- Sponsoring Organization:
- (US)
- DOE Contract Number:
- FG07-98ID13648
- OSTI ID:
- 793507
- Report Number(s):
- DOE/ID/13648; TRN: US0201017
- Resource Relation:
- Other Information: PBD: 5 Apr 2002
- Country of Publication:
- United States
- Language:
- English
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