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Realism of mammography tissue patches simulated using perlin noise : A forced choice reading study

Dustler, Magnus LU ; Bakic, Predrag LU ; Ikeda, Debra M. ; Lång, Kristina LU and Zwiggelaar, Reyer (2021) Medical Imaging 2021: Physics of Medical Imaging In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11595.
Abstract

Software breast phantoms are central to the optimization of breast imaging, where in many cases the use of real images would be inefficient - or impossible. Establishing the realism of such phantoms is critical. For this study, patches of simulated breast tissue with different composition - fatty, scattered, heterogenous and dense tissue - were generated using a method based on Perlin noise. The composition of the patches is controlled by numerical parameters derived from input by radiologists and medical physicists with experience of breast imaging. Separate Perlin noise-based methods were used to simulate skin pores, high-frequency noise (representing quantum and electronic noise) and ligaments and vascular structures. In a forced... (More)

Software breast phantoms are central to the optimization of breast imaging, where in many cases the use of real images would be inefficient - or impossible. Establishing the realism of such phantoms is critical. For this study, patches of simulated breast tissue with different composition - fatty, scattered, heterogenous and dense tissue - were generated using a method based on Perlin noise. The composition of the patches is controlled by numerical parameters derived from input by radiologists and medical physicists with experience of breast imaging. Separate Perlin noise-based methods were used to simulate skin pores, high-frequency noise (representing quantum and electronic noise) and ligaments and vascular structures. In a forced choice reading study, the realism of the simulated tissue patches compared to patches from real mammograms was determined. Patches of 200-500 pixels were extracted from radiolucent, linear, nodular or homogenous (10 per category) mammograms randomly selected from a previously acquired dataset. Eighteen simulated patches in the same size range were added. Four readers, two radiologists and two medical physicists were shown the images in random order and asked to rate them as real or simulated. All readers accepted a substantial fraction of simulated images as real, ranging from 22% to 72%. Only two readers showed a significant difference in the number of images rated real in the real and simulated groups, 22% vs 73% (P=.0003) and 33% vs 63% (P=.04), respectively. These results suggest that the method employed can create images that are almost indistinguishable from patches of real mammograms.

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author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Breast imaging, Mammography, Perlin noise, Reading study, Tissue simulation
host publication
Medical Imaging 2021 : Physics of Medical Imaging - Physics of Medical Imaging
series title
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
editor
Bosmans, Hilde ; Zhao, Wei and Yu, Lifeng
volume
11595
article number
115954X
publisher
SPIE
conference name
Medical Imaging 2021: Physics of Medical Imaging
conference location
Virtual, Online, United States
conference dates
2021-02-15 - 2021-02-19
external identifiers
  • scopus:85103688469
ISSN
1605-7422
ISBN
9781510640191
DOI
10.1117/12.2582094
project
Simultaneous Digital Breast Tomosynthesis and Mechanical Imaging
language
English
LU publication?
yes
additional info
Funding Information: The authors would like to thank Dr. Wenda He for providing the mammography data set used in the study. The study was supported by grants from Allmänna Sjukhusets i Malmö Stiftelse för bekämpande av cancer and Stiftelsen för Cancerforskning vid and the Cancer Research Foundation at the Department of Oncology, Malmö University Hospital (MD) and the Marie Sklodowska Curie fellowship (PB). Publisher Copyright: © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
id
114516a7-4bd3-4f51-9fa1-b797b451b6b4
date added to LUP
2021-04-16 09:40:48
date last changed
2022-08-05 08:23:49
@inproceedings{114516a7-4bd3-4f51-9fa1-b797b451b6b4,
  abstract     = {{<p>Software breast phantoms are central to the optimization of breast imaging, where in many cases the use of real images would be inefficient - or impossible. Establishing the realism of such phantoms is critical. For this study, patches of simulated breast tissue with different composition - fatty, scattered, heterogenous and dense tissue - were generated using a method based on Perlin noise. The composition of the patches is controlled by numerical parameters derived from input by radiologists and medical physicists with experience of breast imaging. Separate Perlin noise-based methods were used to simulate skin pores, high-frequency noise (representing quantum and electronic noise) and ligaments and vascular structures. In a forced choice reading study, the realism of the simulated tissue patches compared to patches from real mammograms was determined. Patches of 200-500 pixels were extracted from radiolucent, linear, nodular or homogenous (10 per category) mammograms randomly selected from a previously acquired dataset. Eighteen simulated patches in the same size range were added. Four readers, two radiologists and two medical physicists were shown the images in random order and asked to rate them as real or simulated. All readers accepted a substantial fraction of simulated images as real, ranging from 22% to 72%. Only two readers showed a significant difference in the number of images rated real in the real and simulated groups, 22% vs 73% (P=.0003) and 33% vs 63% (P=.04), respectively. These results suggest that the method employed can create images that are almost indistinguishable from patches of real mammograms.</p>}},
  author       = {{Dustler, Magnus and Bakic, Predrag and Ikeda, Debra M. and Lång, Kristina and Zwiggelaar, Reyer}},
  booktitle    = {{Medical Imaging 2021 : Physics of Medical Imaging}},
  editor       = {{Bosmans, Hilde and Zhao, Wei and Yu, Lifeng}},
  isbn         = {{9781510640191}},
  issn         = {{1605-7422}},
  keywords     = {{Breast imaging; Mammography; Perlin noise; Reading study; Tissue simulation}},
  language     = {{eng}},
  publisher    = {{SPIE}},
  series       = {{Progress in Biomedical Optics and Imaging - Proceedings of SPIE}},
  title        = {{Realism of mammography tissue patches simulated using perlin noise : A forced choice reading study}},
  url          = {{http://dx.doi.org/10.1117/12.2582094}},
  doi          = {{10.1117/12.2582094}},
  volume       = {{11595}},
  year         = {{2021}},
}