Cargando…

Finite element model of mechanical imaging of the breast

PURPOSE: Malignant breast lesions can be distinguished from benign lesions by their mechanical properties. This has been utilized for mechanical imaging in which the stress distribution over the breast is measured. Mechanical imaging has shown the ability to identify benign or normal cases and to re...

Descripción completa

Detalles Bibliográficos
Autores principales: Axelsson, Rebecca, Tomic, Hanna, Zackrisson, Sophia, Tingberg, Anders, Isaksson, Hanna, Bakic, Predrag R., Dustler, Magnus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9125329/
https://www.ncbi.nlm.nih.gov/pubmed/35647217
http://dx.doi.org/10.1117/1.JMI.9.3.033502
_version_ 1784711926364766208
author Axelsson, Rebecca
Tomic, Hanna
Zackrisson, Sophia
Tingberg, Anders
Isaksson, Hanna
Bakic, Predrag R.
Dustler, Magnus
author_facet Axelsson, Rebecca
Tomic, Hanna
Zackrisson, Sophia
Tingberg, Anders
Isaksson, Hanna
Bakic, Predrag R.
Dustler, Magnus
author_sort Axelsson, Rebecca
collection PubMed
description PURPOSE: Malignant breast lesions can be distinguished from benign lesions by their mechanical properties. This has been utilized for mechanical imaging in which the stress distribution over the breast is measured. Mechanical imaging has shown the ability to identify benign or normal cases and to reduce the number of false positives from mammography screening. Our aim was to develop a model of mechanical imaging acquisition for simulation purposes. To that end, we simulated mammographic compression of a computer model of breast anatomy and lesions. APPROACH: The breast compression was modeled using the finite element method. Two finite element breast models of different sizes were used and solved using linear elastic material properties in open-source virtual clinical trial (VCT) software. A spherical lesion (15 mm in diameter) was inserted into the breasts, and both the location and stiffness of the lesion were varied extensively. The average stress over the breast and the average stress at the lesion location, as well as the relative mean pressure over lesion area (RMPA), were calculated. RESULTS: The average stress varied 6.2–6.5 kPa over the breast surface and 7.8–11.4 kPa over the lesion, for different lesion locations and stiffnesses. These stresses correspond to an RMPA of 0.80 to 1.46. The average stress was 20% to 50% higher at the lesion location compared with the average stress over the entire breast surface. CONCLUSIONS: The average stress over the breast and the lesion location corresponded well to clinical measurements. The proposed model can be used in VCTs for evaluation and optimization of mechanical imaging screening strategies.
format Online
Article
Text
id pubmed-9125329
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Society of Photo-Optical Instrumentation Engineers
record_format MEDLINE/PubMed
spelling pubmed-91253292023-05-23 Finite element model of mechanical imaging of the breast Axelsson, Rebecca Tomic, Hanna Zackrisson, Sophia Tingberg, Anders Isaksson, Hanna Bakic, Predrag R. Dustler, Magnus J Med Imaging (Bellingham) Physics of Medical Imaging PURPOSE: Malignant breast lesions can be distinguished from benign lesions by their mechanical properties. This has been utilized for mechanical imaging in which the stress distribution over the breast is measured. Mechanical imaging has shown the ability to identify benign or normal cases and to reduce the number of false positives from mammography screening. Our aim was to develop a model of mechanical imaging acquisition for simulation purposes. To that end, we simulated mammographic compression of a computer model of breast anatomy and lesions. APPROACH: The breast compression was modeled using the finite element method. Two finite element breast models of different sizes were used and solved using linear elastic material properties in open-source virtual clinical trial (VCT) software. A spherical lesion (15 mm in diameter) was inserted into the breasts, and both the location and stiffness of the lesion were varied extensively. The average stress over the breast and the average stress at the lesion location, as well as the relative mean pressure over lesion area (RMPA), were calculated. RESULTS: The average stress varied 6.2–6.5 kPa over the breast surface and 7.8–11.4 kPa over the lesion, for different lesion locations and stiffnesses. These stresses correspond to an RMPA of 0.80 to 1.46. The average stress was 20% to 50% higher at the lesion location compared with the average stress over the entire breast surface. CONCLUSIONS: The average stress over the breast and the lesion location corresponded well to clinical measurements. The proposed model can be used in VCTs for evaluation and optimization of mechanical imaging screening strategies. Society of Photo-Optical Instrumentation Engineers 2022-05-23 2022-05 /pmc/articles/PMC9125329/ /pubmed/35647217 http://dx.doi.org/10.1117/1.JMI.9.3.033502 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
spellingShingle Physics of Medical Imaging
Axelsson, Rebecca
Tomic, Hanna
Zackrisson, Sophia
Tingberg, Anders
Isaksson, Hanna
Bakic, Predrag R.
Dustler, Magnus
Finite element model of mechanical imaging of the breast
title Finite element model of mechanical imaging of the breast
title_full Finite element model of mechanical imaging of the breast
title_fullStr Finite element model of mechanical imaging of the breast
title_full_unstemmed Finite element model of mechanical imaging of the breast
title_short Finite element model of mechanical imaging of the breast
title_sort finite element model of mechanical imaging of the breast
topic Physics of Medical Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9125329/
https://www.ncbi.nlm.nih.gov/pubmed/35647217
http://dx.doi.org/10.1117/1.JMI.9.3.033502
work_keys_str_mv AT axelssonrebecca finiteelementmodelofmechanicalimagingofthebreast
AT tomichanna finiteelementmodelofmechanicalimagingofthebreast
AT zackrissonsophia finiteelementmodelofmechanicalimagingofthebreast
AT tingberganders finiteelementmodelofmechanicalimagingofthebreast
AT isakssonhanna finiteelementmodelofmechanicalimagingofthebreast
AT bakicpredragr finiteelementmodelofmechanicalimagingofthebreast
AT dustlermagnus finiteelementmodelofmechanicalimagingofthebreast