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Monte Carlo simulation of breast tomosynthesis: visibility of microcalcifications at different acquisition schemes

Petersson, Hannie LU ; Dustler, Magnus LU ; Tingberg, Anders LU and Timberg, Pontus LU (2015) Conference on Medical Imaging - Physics of Medical Imaging, 2015 In Medical Imaging 2015: Physics of Medical Imaging 9412. p.94121-94121
Abstract
Microcalcifications are one feature of interest in mammography and breast tomosynthesis (BT). To achieve optimal conditions for detection of microcalcifications in BT imaging, different acquisition geometries should be evaluated. The purpose of this work was to investigate the influence of acquisition schemes with different angular ranges, projection distributions and dose distributions on the visibility of microcalcifications in reconstructed BT volumes. Microcalcifications were inserted randomly in a high resolution software phantom and a simulation procedure was used to model a MAMMOMAT Inspiration BT system. The simulation procedure was based on analytical ray tracing to produce primary images, Monte Carlo to simulate scatter... (More)
Microcalcifications are one feature of interest in mammography and breast tomosynthesis (BT). To achieve optimal conditions for detection of microcalcifications in BT imaging, different acquisition geometries should be evaluated. The purpose of this work was to investigate the influence of acquisition schemes with different angular ranges, projection distributions and dose distributions on the visibility of microcalcifications in reconstructed BT volumes. Microcalcifications were inserted randomly in a high resolution software phantom and a simulation procedure was used to model a MAMMOMAT Inspiration BT system. The simulation procedure was based on analytical ray tracing to produce primary images, Monte Carlo to simulate scatter contributions and flatfield image acquisitions to model system characteristics. Image volumes were reconstructed using the novel method super-resolution reconstruction with statistical artifact reduction (SRSAR). For comparison purposes, the volume of the standard acquisition scheme (50 degrees angular range and uniform projection and dose distribution) was also reconstructed using standard filtered backprojection (FBP). To compare the visibility and depth resolution of the microcalcifications, signal difference to noise ratio (SDNR) and artifact spread function width (ASFW) were calculated. The acquisition schemes with very high central dose yielded significantly lower SDNR than the schemes with more uniform dose distributions. The ASFW was found to decrease (meaning an increase in depth resolution) with wider angular range. In conclusion, none of the evaluated acquisition schemes were found to yield higher SDNR or depth resolution for the simulated microcalcifications than the standard acquisition scheme. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
breast tomosynthesis, Monte Carlo simulation, acquisition parameters, software breast phantom, microcalcification simulation
in
Medical Imaging 2015: Physics of Medical Imaging
volume
9412
pages
94121 - 94121
publisher
SPIE
conference name
Conference on Medical Imaging - Physics of Medical Imaging, 2015
external identifiers
  • wos:000355581700049
  • scopus:84943329361
ISSN
0277-786X
1996-756X
DOI
10.1117/12.2081942
language
English
LU publication?
yes
id
c4b5f002-28d9-41e6-98f7-e3746fe6d6e9 (old id 7606158)
date added to LUP
2015-08-03 10:11:50
date last changed
2017-02-05 03:14:43
@inproceedings{c4b5f002-28d9-41e6-98f7-e3746fe6d6e9,
  abstract     = {Microcalcifications are one feature of interest in mammography and breast tomosynthesis (BT). To achieve optimal conditions for detection of microcalcifications in BT imaging, different acquisition geometries should be evaluated. The purpose of this work was to investigate the influence of acquisition schemes with different angular ranges, projection distributions and dose distributions on the visibility of microcalcifications in reconstructed BT volumes. Microcalcifications were inserted randomly in a high resolution software phantom and a simulation procedure was used to model a MAMMOMAT Inspiration BT system. The simulation procedure was based on analytical ray tracing to produce primary images, Monte Carlo to simulate scatter contributions and flatfield image acquisitions to model system characteristics. Image volumes were reconstructed using the novel method super-resolution reconstruction with statistical artifact reduction (SRSAR). For comparison purposes, the volume of the standard acquisition scheme (50 degrees angular range and uniform projection and dose distribution) was also reconstructed using standard filtered backprojection (FBP). To compare the visibility and depth resolution of the microcalcifications, signal difference to noise ratio (SDNR) and artifact spread function width (ASFW) were calculated. The acquisition schemes with very high central dose yielded significantly lower SDNR than the schemes with more uniform dose distributions. The ASFW was found to decrease (meaning an increase in depth resolution) with wider angular range. In conclusion, none of the evaluated acquisition schemes were found to yield higher SDNR or depth resolution for the simulated microcalcifications than the standard acquisition scheme.},
  author       = {Petersson, Hannie and Dustler, Magnus and Tingberg, Anders and Timberg, Pontus},
  booktitle    = {Medical Imaging 2015: Physics of Medical Imaging},
  issn         = {0277-786X},
  keyword      = {breast tomosynthesis,Monte Carlo simulation,acquisition parameters,software breast phantom,microcalcification simulation},
  language     = {eng},
  pages        = {94121--94121},
  publisher    = {SPIE},
  title        = {Monte Carlo simulation of breast tomosynthesis: visibility of microcalcifications at different acquisition schemes},
  url          = {http://dx.doi.org/10.1117/12.2081942},
  volume       = {9412},
  year         = {2015},
}