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Portrait of Magnus Dustler. Photo

Magnus Dustler

Researcher

Portrait of Magnus Dustler. Photo

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

Author

  • Magnus Dustler
  • Predrag Bakic
  • Hannie Petersson
  • Pontus Timberg
  • Anders Tingberg
  • Sophia Zackrisson

Summary, in English

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.

Department/s

  • Medical Radiation Physics, Malmö
  • Radiology Diagnostics, Malmö
  • BioCARE: Biomarkers in Cancer Medicine improving Health Care, Education and Innovation

Publishing year

2015

Language

English

Pages

94123-94123

Publication/Series

Medical Imaging 2015: Physics of Medical Imaging

Volume

9412

Document type

Conference paper

Publisher

SPIE

Topic

  • Radiology, Nuclear Medicine and Medical Imaging

Keywords

  • Mammography
  • Tomosynthesis
  • Anatomical noise
  • Software breast phantoms
  • Perlin noise

Conference name

Conference on Medical Imaging - Physics of Medical Imaging, 2015

Conference date

2015-02-22 - 2015-02-25

Conference place

Orlando, FL, United States

Status

Published

Research group

  • Medical Radiation Physics, Malmö
  • Radiology Diagnostics, Malmö

ISBN/ISSN/Other

  • ISSN: 1996-756X
  • ISSN: 0277-786X