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Methodology to simulate temporal changes in breast tumors and parenchyma using Perlin noise

Tomic, Hanna LU ; Timberg, Pontus LU ; Markbo, John Henry LU ; Zackrisson, Sophia LU ; Tingberg, Anders LU orcid ; Dustler, Magnus LU orcid and Bakic, Predrag R. LU (2025) Medical Imaging 2025: Physics of Medical Imaging 13405.
Abstract

Simulating temporal changes in breast tissue has been challenging, despite advancement in virtual clinical trials. This study aims to enable virtual trials over time, motivated by interest in the effect of tissue involution on tumor visibility. We present a framework for creating 3D voxel-based breast phantoms and lesions using in-house Perlin Noise-based algorithm. The framework consists of three modules “Population Creator”, “Phantom Creator” and “Lesion Creator”. Population Creator generates a population based on characteristics from real clinical cases. Phantom and Lesion Creator enable selection of breast shape, size, density, and lesion shape and size. Perlin Noise parameters are selected to match the appearance of different... (More)

Simulating temporal changes in breast tissue has been challenging, despite advancement in virtual clinical trials. This study aims to enable virtual trials over time, motivated by interest in the effect of tissue involution on tumor visibility. We present a framework for creating 3D voxel-based breast phantoms and lesions using in-house Perlin Noise-based algorithm. The framework consists of three modules “Population Creator”, “Phantom Creator” and “Lesion Creator”. Population Creator generates a population based on characteristics from real clinical cases. Phantom and Lesion Creator enable selection of breast shape, size, density, and lesion shape and size. Perlin Noise parameters are selected to match the appearance of different tissue types. We used open-source software to reconstruct digital breast tomosynthesis images. Alternative software can be used for other imaging modalities. We illustrate the use of the framework to simulate temporal changes in the breast. First, assuming that the average volumetric breast density is 10.7% at 57 years of age and decreases exponentially over time, we create the phantom at the start and the end of the screening program (40 and 74 years, respectively, in Sweden). The breast density was calculated as 16.0% and 7.2%, respectively. Second, we show a simulated lesion at different time points, assuming a tumour volume doubling time of 282 days. We present a simulation framework for temporal changes in breast anatomy. We illustrate two applications which support the use of virtual clinical trials over time.

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Please use this url to cite or link to this publication:
author
; ; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
breast density, Breast phantoms, breast tumors, computer simulation, temporal changes in anatomy, virtual clinical trials
host publication
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
editor
Sabol, John M. ; Li, Ke and Abbaszadeh, Shiva
volume
13405
article number
134050O
publisher
SPIE
conference name
Medical Imaging 2025: Physics of Medical Imaging
conference location
San Diego, United States
conference dates
2025-02-17 - 2025-02-21
external identifiers
  • scopus:105004581648
ISBN
9781510685888
DOI
10.1117/12.3047185
language
English
LU publication?
yes
id
d9130121-a8ca-4190-a09b-59d39003cd3f
date added to LUP
2025-09-22 16:09:28
date last changed
2025-10-14 13:12:43
@inproceedings{d9130121-a8ca-4190-a09b-59d39003cd3f,
  abstract     = {{<p>Simulating temporal changes in breast tissue has been challenging, despite advancement in virtual clinical trials. This study aims to enable virtual trials over time, motivated by interest in the effect of tissue involution on tumor visibility. We present a framework for creating 3D voxel-based breast phantoms and lesions using in-house Perlin Noise-based algorithm. The framework consists of three modules “Population Creator”, “Phantom Creator” and “Lesion Creator”. Population Creator generates a population based on characteristics from real clinical cases. Phantom and Lesion Creator enable selection of breast shape, size, density, and lesion shape and size. Perlin Noise parameters are selected to match the appearance of different tissue types. We used open-source software to reconstruct digital breast tomosynthesis images. Alternative software can be used for other imaging modalities. We illustrate the use of the framework to simulate temporal changes in the breast. First, assuming that the average volumetric breast density is 10.7% at 57 years of age and decreases exponentially over time, we create the phantom at the start and the end of the screening program (40 and 74 years, respectively, in Sweden). The breast density was calculated as 16.0% and 7.2%, respectively. Second, we show a simulated lesion at different time points, assuming a tumour volume doubling time of 282 days. We present a simulation framework for temporal changes in breast anatomy. We illustrate two applications which support the use of virtual clinical trials over time.</p>}},
  author       = {{Tomic, Hanna and Timberg, Pontus and Markbo, John Henry and Zackrisson, Sophia and Tingberg, Anders and Dustler, Magnus and Bakic, Predrag R.}},
  booktitle    = {{Progress in Biomedical Optics and Imaging - Proceedings of SPIE}},
  editor       = {{Sabol, John M. and Li, Ke and Abbaszadeh, Shiva}},
  isbn         = {{9781510685888}},
  keywords     = {{breast density; Breast phantoms; breast tumors; computer simulation; temporal changes in anatomy; virtual clinical trials}},
  language     = {{eng}},
  publisher    = {{SPIE}},
  title        = {{Methodology to simulate temporal changes in breast tumors and parenchyma using Perlin noise}},
  url          = {{http://dx.doi.org/10.1117/12.3047185}},
  doi          = {{10.1117/12.3047185}},
  volume       = {{13405}},
  year         = {{2025}},
}