Repository of MRI-derived models of the breast with single and multiple benign and malignant tumors for microwave imaging research

PLoS One. 2024 May 17;19(5):e0302974. doi: 10.1371/journal.pone.0302974. eCollection 2024.

Abstract

The diagnosis of breast cancer through MicroWave Imaging (MWI) technology has been extensively researched over the past few decades. However, continuous improvements to systems are needed to achieve clinical viability. To this end, the numerical models employed in simulation studies need to be diversified, anatomically accurate, and also representative of the cases in clinical settings. Hence, we have created the first open-access repository of 3D anatomically accurate numerical models of the breast, derived from 3.0T Magnetic Resonance Images (MRI) of benign breast disease and breast cancer patients. The models include normal breast tissues (fat, fibroglandular, skin, and muscle tissues), and benign and cancerous breast tumors. The repository contains easily reconfigurable models which can be tumor-free or contain single or multiple tumors, allowing complex and realistic test scenarios needed for feasibility and performance assessment of MWI devices prior to experimental and clinical testing. It also includes an executable file which enables researchers to generate models incorporating the dielectric properties of breast tissues at a chosen frequency ranging from 3 to 10 GHz, thereby ensuring compatibility with a wide spectrum of research requirements and stages of development for any breast MWI prototype system. Currently, our dataset comprises MRI scans of 55 patients, but new exams will be continuously added.

MeSH terms

  • Breast Neoplasms* / diagnostic imaging
  • Breast Neoplasms* / pathology
  • Breast* / diagnostic imaging
  • Breast* / pathology
  • Female
  • Humans
  • Magnetic Resonance Imaging* / methods
  • Microwave Imaging
  • Microwaves

Grants and funding

This research was funded by Fundação para a Ciência e Tecnologia (FCT) (https://www.fct.pt/en/): - UI/BD/150762/2020 (https://doi.org/10.54499/UI/BD/150762/2020) awarded to ACP; - 2021.07228.BD (https://doi.org/10.54499/2021.07228.BD) awarded to MCTG; - UIDB/00645/2020 (https://doi.org/10.54499/UIDB/00645/2020) and UIDP/00645/2020 (https://doi.org/10.54499/UIDP/00645/2020) awarded to ACP, MCTG, DMG, and RCC; - UIDB/00618/2020 and UIDP/00618/2020 awarded to NAMA; - FCT/MET (PIDDAC) under the project 2022.08973.PTDC (https://doi.org/10.54499/2022.08973.PTDC) awarded to DMG and RCC. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.