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Sophia Zackrisson, MD, PhD. Photo.

Sophia Zackrisson

Manager

Sophia Zackrisson, MD, PhD. Photo.

Simulation of breast lesions based upon fractal Perlin noise

Author

  • Hanna Tomic
  • Arthur C. Costa
  • Anna Bjerkén
  • Marcelo A.C. Vieira
  • Sophia Zackrisson
  • Anders Tingberg
  • Pontus Timberg
  • Magnus Dustler
  • Predrag R. Bakic

Summary, in English

Purpose: Steadily increasing use of computational/virtual phantoms in medical physics has motivated expanding development of new simulation methods and data representations for modelling human anatomy. This has emphasized the need for increased realism, user control, and availability. In breast cancer research, virtual phantoms have gained an important role in evaluating and optimizing imaging systems. For this paper, we have developed an algorithm to model breast abnormalities based on fractal Perlin noise. We demonstrate and characterize the extension of this approach to simulate breast lesions of various sizes, shapes, and complexity. Materials and method: Recently, we developed an algorithm for simulating the 3D arrangement of breast anatomy based on Perlin noise. In this paper, we have expanded the method to also model soft tissue breast lesions. We simulated lesions within the size range of clinically representative breast lesions (masses, 5–20 mm in size). Simulated lesions were blended into simulated breast tissue backgrounds and visualized as virtual digital mammography images. The lesions were evaluated by observers following the BI-RADS assessment criteria. Results: Observers categorized the lesions as round, oval or irregular, with circumscribed, microlobulated, indistinct or obscured margins. The majority of the simulated lesions were considered by the observers to have a realism score of moderate to well. The simulation method provides almost real-time lesion generation (average time and standard deviation: 1.4 ± 1.0 s). Conclusion: We presented a novel algorithm for computer simulation of breast lesions using Perlin noise. The algorithm enables efficient simulation of lesions, with different sizes and appearances.

Department/s

  • Diagnostic Radiology, (Lund)
  • LUCC: Lund University Cancer Centre
  • Medical Radiation Physics, Malmö
  • LTH Profile Area: Photon Science and Technology

Publishing year

2023-10

Language

English

Publication/Series

Physica Medica

Volume

114

Document type

Journal article

Publisher

ISTITUTI EDITORIALI E POLGRAFICI INTERNAZIONALI

Topic

  • Radiology, Nuclear Medicine and Medical Imaging

Keywords

  • Computational phantoms
  • Lesion simulation
  • Mammography
  • Virtual clinical trials

Status

Published

Research group

  • Medical Radiation Physics, Malmö

ISBN/ISSN/Other

  • ISSN: 1120-1797