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Using simple mathematical functions to simulate pathological structures--input for digital mammography clinical trial.

Ruschin, Mark LU ; Tingberg, Anders LU ; Båth, M; Grahn, Anna LU ; Håkansson, M; Hemdal, Bengt LU and Andersson, I (2005) Second Malmo Conference on Medical X-Ray Imaging In Radiation Protection Dosimetry 114(1-3). p.424-431
Abstract
In this study a set of structures has been simulated to represent a range of clinically relevant breast cancer mammographic lesions including solid tumours and microcalcifications. All structures have been created using simple random-based mathematical functions and have been inserted into a subset of digital mammography images at appropriate contrast levels into various regions of the breast, including dense fibroglandular and adipose tissue. These structures and their appearance in these clinical images were evaluated in terms of how realistic they looked. They will be used as the input to a large-scale clinical trial designed to examine the effect of significant dose reduction in digital mammography by comparing the detectability of... (More)
In this study a set of structures has been simulated to represent a range of clinically relevant breast cancer mammographic lesions including solid tumours and microcalcifications. All structures have been created using simple random-based mathematical functions and have been inserted into a subset of digital mammography images at appropriate contrast levels into various regions of the breast, including dense fibroglandular and adipose tissue. These structures and their appearance in these clinical images were evaluated in terms of how realistic they looked. They will be used as the input to a large-scale clinical trial designed to examine the effect of significant dose reduction in digital mammography by comparing the detectability of such structures in images acquired at full and quarter automatic exposure control (AEC) dose level and in images with simulated noise levels in between (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
adipose tissue, contrast level, fibroglandular tissue, random-based mathematical function, microcalcification, solid tumour, breast cancer mammographic lesion, pathological structure, digital mammography, noise level, automatic exposure control dose level, dose reduction, image acquisition
in
Radiation Protection Dosimetry
volume
114
issue
1-3
pages
424 - 431
publisher
Nuclear Technology Publishing
conference name
Second Malmo Conference on Medical X-Ray Imaging
external identifiers
  • wos:000229927400077
  • pmid:15933150
  • scopus:21244469864
ISSN
1742-3406
DOI
10.1093/rpd/nch552
language
English
LU publication?
yes
id
a2a78635-f4b6-4f02-afdf-df0134f72445 (old id 140273)
date added to LUP
2007-07-17 08:37:19
date last changed
2017-01-01 06:58:06
@article{a2a78635-f4b6-4f02-afdf-df0134f72445,
  abstract     = {In this study a set of structures has been simulated to represent a range of clinically relevant breast cancer mammographic lesions including solid tumours and microcalcifications. All structures have been created using simple random-based mathematical functions and have been inserted into a subset of digital mammography images at appropriate contrast levels into various regions of the breast, including dense fibroglandular and adipose tissue. These structures and their appearance in these clinical images were evaluated in terms of how realistic they looked. They will be used as the input to a large-scale clinical trial designed to examine the effect of significant dose reduction in digital mammography by comparing the detectability of such structures in images acquired at full and quarter automatic exposure control (AEC) dose level and in images with simulated noise levels in between},
  author       = {Ruschin, Mark and Tingberg, Anders and Båth, M and Grahn, Anna and Håkansson, M and Hemdal, Bengt and Andersson, I},
  issn         = {1742-3406},
  keyword      = {adipose tissue,contrast level,fibroglandular tissue,random-based mathematical function,microcalcification,solid tumour,breast cancer mammographic lesion,pathological structure,digital mammography,noise level,automatic exposure control dose level,dose reduction,image acquisition},
  language     = {eng},
  number       = {1-3},
  pages        = {424--431},
  publisher    = {Nuclear Technology Publishing},
  series       = {Radiation Protection Dosimetry},
  title        = {Using simple mathematical functions to simulate pathological structures--input for digital mammography clinical trial.},
  url          = {http://dx.doi.org/10.1093/rpd/nch552},
  volume       = {114},
  year         = {2005},
}