Share Email Print

Proceedings Paper

Binary implementation of fractal Perlin noise to simulate fibroglandular breast tissue
Author(s): Magnus Dustler; Hannie Förnvik; Kristina Lång
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Software breast phantoms are important in many applications within the field of breast imaging and mammography. This paper describes an improved method of using a previously employed in-house fractal Perlin noise algorithm to create binary software breast phantoms. The Perlin Noise algorithm creates smoothly varying structures of a frequency with a set band limit. By combining a range of frequencies (octaves) of noise, more complex structures are generated. Previously, visually realistic appearances were achieved with continuous noise values, but these do not adequately represent the breast as radiologically consisting of two types of tissue – fibroglandular and adipose. A binary implementation with a similarly realistic appearance would therefore be preferable. A library of noise volumes with continuous values between 0 and 1 were generated. A range of threshold values, also between 0 and 1, were applied to these noise volumes, creating binary volumes of different appearance, with high values resulting in a fine network of strands, and low values in nebulous clusters of tissue. These building blocks were then combined into composite volumes and a new threshold applied to make them binary. This created visually complex binary volumes with a visually more realistic appearance than earlier implementations of the algorithm. By using different combinations of threshold values, a library of pre-generated building blocks can be used to create an arbitrary number of software breast tissue volumes with desired appearance and density.

Paper Details

Date Published: 9 March 2018
PDF: 8 pages
Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 1057357 (9 March 2018); doi: 10.1117/12.2293234
Show Author Affiliations
Magnus Dustler, Lund Univ., Skåne Univ. Hospital Malmö (Sweden)
Hannie Förnvik, Lund Univ., Skåne Univ. Hospital Malmö (Sweden)
Kristina Lång, Lund Univ., Skåne Univ. Hospital Malmö (Sweden)

Published in SPIE Proceedings Vol. 10573:
Medical Imaging 2018: Physics of Medical Imaging
Joseph Y. Lo; Taly Gilat Schmidt; Guang-Hong Chen, Editor(s)

© SPIE. Terms of Use
Back to Top