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Portrait of Magnus Dustler. Photo

Magnus Dustler

Researcher

Portrait of Magnus Dustler. Photo

Representation of Complex Mammary Parenchyma Texture in Tomosynthesis Using Simplex Noise Simulations

Author

  • Bruno Barufaldi
  • Chloe J. Choi
  • Joao P.V. Teixeira
  • Magnus Dustler
  • Raphael B. Englander
  • Thaís G. do Rêgo
  • Yuri Malheiros
  • Telmo M. Silva Filho
  • Belayat Hossain
  • Juhun Lee
  • Andrew D.A. Maidment
Show all

Editor

  • Rebecca Fahrig
  • John M. Sabol
  • Ke Li

Summary, in English

The mammary parenchyma is a complex arrangement of tissues that can greatly vary among individuals, potentially masking cancers in breast screening images. In this work, we propose a Simplex-based method to simulate anatomical patterns and textures seen in digital breast tomosynthesis. Our approach involves selecting appropriate Simplex noise parameters to represent distinct categories of breast parenchyma with variable volumetric breast density (%VBD). We use volumetric coarse masks (70 × 60 × 50 mm3) to outline patches of both dense and adipose tissues. These masks serve as a foundation for volumetric and multi-scale Simplex-based noise distributions. The Simplex-based noise distributions are normalized and thresholded using gradient level sets selected to binarize specific Simplex frequencies. The Simplex frequencies are summed and binarized using post-hoc thresholds, resulting in patches of tissue tailored to represent anatomic-like structures seen in digital breast tomosynthesis (DBT) images. We simulate DBT projections and reconstructions of the patches of breast tissue following the acquisition geometry and exposure settings of a clinical tomosynthesis system. We calculate the power spectra and estimate the power-law exponent (β) using a sample of DBT reconstructions (n=500, equally stratified by four density classes). Our findings reveal an absolute β value of 3.0, indicative of the improvements achieved in both the performance and realism of the breast tissue simulation. In summary, our proposed Simplex-based method enhances realism and texture variations, ensuring the presence of anatomical and quantum noise at levels consistent with the image quality expected in breast screening exams.

Department/s

  • Medical Radiation Physics, Malmö
  • Radiology Diagnostics, Malmö
  • LUCC: Lund University Cancer Centre

Publishing year

2024

Language

English

Publication/Series

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volume

12925

Document type

Conference paper

Publisher

SPIE

Topic

  • Radiology, Nuclear Medicine and Medical Imaging

Keywords

  • anthropomorphic phantoms
  • breast cancer risk assessment
  • breast complexity
  • Perlin noise
  • Simplex noise

Conference name

Medical Imaging 2024: Physics of Medical Imaging

Conference date

2024-02-19 - 2024-02-22

Conference place

San Diego, United States

Status

Published

Research group

  • Medical Radiation Physics, Malmö
  • Radiology Diagnostics, Malmö

ISBN/ISSN/Other

  • ISSN: 1605-7422
  • ISBN: 9781510671546