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
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:
https://lup.lub.lu.se/record/7606150
- author
- Dustler, Magnus
LU
; Bakic, Predrag
; Petersson, Hannie
LU
; Timberg, Pontus
LU
; Tingberg, Anders
LU
and Zackrisson, Sophia
LU
- organization
- publishing date
- 2015
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Mammography, Tomosynthesis, Anatomical noise, Software breast phantoms, Perlin noise
- host publication
- 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
- conference location
- Orlando, FL, United States
- conference dates
- 2015-02-22 - 2015-02-25
- 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
- 2016-04-01 10:59:00
- date last changed
- 2025-02-26 09:21:19
@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}},
keywords = {{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}},
doi = {{10.1117/12.2081856}},
volume = {{9412}},
year = {{2015}},
}