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Application of the fractal Perlin noise algorithm for the generation of simulated breast tissue

Dustler, Magnus LU ; Bakic, Predrag; Petersson, Hannie LU ; Timberg, Pontus LU ; Tingberg, Anders LU and Zackrisson, Sophia LU (2015) Conference on Medical Imaging - Physics of Medical Imaging, 2015 In Medical Imaging 2015: Physics of Medical Imaging 9412. p.94123-94123
Abstract
Software breast phantoms are increasingly seeing use in preclinical validation of breast image acquisition systems and image analysis methods. Phantom realism has been proven sufficient for numerous specific validation tasks. A challenge is the generation of suitably realistic small-scale breast structures that could further improve the quality of phantom images. Power law noise follows the noise power characteristics of breast tissue, but may not sufficiently represent certain (e.g., non-Gaussian) properties seen in clinical breast images. The purpose of this work was to investigate the utility of fractal Perlin noise in generating more realistic breast tissue through investigation of its power spectrum and visual characteristics. Perlin... (More)
Software breast phantoms are increasingly seeing use in preclinical validation of breast image acquisition systems and image analysis methods. Phantom realism has been proven sufficient for numerous specific validation tasks. A challenge is the generation of suitably realistic small-scale breast structures that could further improve the quality of phantom images. Power law noise follows the noise power characteristics of breast tissue, but may not sufficiently represent certain (e.g., non-Gaussian) properties seen in clinical breast images. The purpose of this work was to investigate the utility of fractal Perlin noise in generating more realistic breast tissue through investigation of its power spectrum and visual characteristics. Perlin noise is an algorithm that creates smoothly varying random structures of an arbitrary frequency. Through the use of a technique known as fractal noise or fractional Brownian motion (fBm), octaves of noise with different frequency are combined to generate coherent noise with a broad frequency range. fBm is controlled by two parameters - lacunarity and persistence - related to the frequency and amplitude of successive octaves, respectively. Average noise power spectra were calculated and beta parameters estimated in sample volumes of fractal Perlin noise with different combinations of lacunarity and persistence. Certain combinations of parameters resulted in noise volumes with beta values between 2 and 3, corresponding to reported measurements in real breast tissue. Different combinations of parameters resulted in different visual appearances. In conclusion, Perlin noise offers a flexible tool for generating breast tissue with realistic properties. (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
Mammography, Tomosynthesis, Anatomical noise, Software breast phantoms, Perlin noise
in
Medical Imaging 2015: Physics of Medical Imaging
volume
9412
pages
94123 - 94123
publisher
SPIE
conference name
Conference on Medical Imaging - Physics of Medical Imaging, 2015
external identifiers
  • wos:000355581700111
  • scopus:84943311394
ISSN
0277-786X
1996-756X
DOI
10.1117/12.2081856
language
English
LU publication?
yes
id
3c79c00e-a9c7-43e3-862b-22aa0fdc6807 (old id 7606150)
date added to LUP
2015-08-03 10:11:45
date last changed
2017-01-01 04:03:59
@inproceedings{3c79c00e-a9c7-43e3-862b-22aa0fdc6807,
  abstract     = {Software breast phantoms are increasingly seeing use in preclinical validation of breast image acquisition systems and image analysis methods. Phantom realism has been proven sufficient for numerous specific validation tasks. A challenge is the generation of suitably realistic small-scale breast structures that could further improve the quality of phantom images. Power law noise follows the noise power characteristics of breast tissue, but may not sufficiently represent certain (e.g., non-Gaussian) properties seen in clinical breast images. The purpose of this work was to investigate the utility of fractal Perlin noise in generating more realistic breast tissue through investigation of its power spectrum and visual characteristics. Perlin noise is an algorithm that creates smoothly varying random structures of an arbitrary frequency. Through the use of a technique known as fractal noise or fractional Brownian motion (fBm), octaves of noise with different frequency are combined to generate coherent noise with a broad frequency range. fBm is controlled by two parameters - lacunarity and persistence - related to the frequency and amplitude of successive octaves, respectively. Average noise power spectra were calculated and beta parameters estimated in sample volumes of fractal Perlin noise with different combinations of lacunarity and persistence. Certain combinations of parameters resulted in noise volumes with beta values between 2 and 3, corresponding to reported measurements in real breast tissue. Different combinations of parameters resulted in different visual appearances. In conclusion, Perlin noise offers a flexible tool for generating breast tissue with realistic properties.},
  author       = {Dustler, Magnus and Bakic, Predrag and Petersson, Hannie and Timberg, Pontus and Tingberg, Anders and Zackrisson, Sophia},
  booktitle    = {Medical Imaging 2015: Physics of Medical Imaging},
  issn         = {0277-786X},
  keyword      = {Mammography,Tomosynthesis,Anatomical noise,Software breast phantoms,Perlin noise},
  language     = {eng},
  pages        = {94123--94123},
  publisher    = {SPIE},
  title        = {Application of the fractal Perlin noise algorithm for the generation of simulated breast tissue},
  url          = {http://dx.doi.org/10.1117/12.2081856},
  volume       = {9412},
  year         = {2015},
}