Computer model of mechanical imaging acquisition for virtual clinical trials
(2021) Medical Imaging 2021: Physics of Medical Imaging In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11595. p.1-115950- Abstract
Malignant breast tumours can be distinguished from benign lesions and normal tissue based on their mechanical properties. Our pilot studies have demonstrated the potential of using Mechanical Imaging (MI) combined with mammography to reduce recalls and false positives in breast cancer screening by more accurately identifying benign lesions. To enable further optimization of MI we propose a computer simulation of the MI acquisition, for use in a Virtual Clinical Trial (VCT) framework. VCTs are computer simulated clinical trials used to efficiently evaluate clinical imaging systems. A linear elastic finite element (FE) model of the breast under dynamic compression was implemented using an open-source FE solver. A spherical tumour (15 mm... (More)
Malignant breast tumours can be distinguished from benign lesions and normal tissue based on their mechanical properties. Our pilot studies have demonstrated the potential of using Mechanical Imaging (MI) combined with mammography to reduce recalls and false positives in breast cancer screening by more accurately identifying benign lesions. To enable further optimization of MI we propose a computer simulation of the MI acquisition, for use in a Virtual Clinical Trial (VCT) framework. VCTs are computer simulated clinical trials used to efficiently evaluate clinical imaging systems. A linear elastic finite element (FE) model of the breast under dynamic compression was implemented using an open-source FE solver. A spherical tumour (15 mm in diameter) was inserted into the simulated predominantly adipose breast. The location and stiffness of the tumour was varied. The average stress on the compressed breast surface was calculated and compared with the local average stress at the tumour location and the Relative Mean Pressure over lesion Area (RMPA) was calculated. Preliminary results were within a realistic range with an average stress on the breast (tumour) of 5.9-16.6 kPa which is in agreement with published values between 1.0 - 22.5 kPa. This corresponds to RMPA values of 0.96-2.15 depending on stiffness and location of the tumour. This can lead to more detailed validation of various MI acquisition schemes through VCTs before their use in clinical studies.
(Less)
- author
- Axelsson, Rebecca LU ; Isaksson, Hanna LU ; Zackrisson, Sophia LU ; Tingberg, Anders LU ; Bakic, Predrag LU and Dustler, Magnus LU
- organization
- publishing date
- 2021
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Breast cancer screening, Finite element method, Mechanical imaging, Virtual clinical trials
- host publication
- Medical Imaging 2021 : Physics of Medical Imaging - Physics of Medical Imaging
- series title
- Progress in Biomedical Optics and Imaging - Proceedings of SPIE
- editor
- Bosmans, Hilde ; Zhao, Wei and Yu, Lifeng
- volume
- 11595
- article number
- 115950Q
- pages
- 1 - 115950
- publisher
- SPIE
- conference name
- Medical Imaging 2021: Physics of Medical Imaging
- conference location
- Virtual, Online, United States
- conference dates
- 2021-02-15 - 2021-02-19
- external identifiers
-
- scopus:85103692569
- ISSN
- 1605-7422
- ISBN
- 9781510640191
- DOI
- 10.1117/12.2582095
- project
- Simultaneous Digital Breast Tomosynthesis and Mechanical Imaging
- language
- English
- LU publication?
- yes
- additional info
- Funding Information: This work is supported by grants from the European Commission H2020 Marie Skłodowska-Curie Actions Fellowship (IF 846540), the grants from the Cancerfonden, the Swedish Breast Cancer Association, and Stiftelsen för Cancerforskning vid Onklogiska kliniken vid Universitetssjukhuset MAS. Publisher Copyright: © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
- id
- 9358dd44-d9c9-41bf-9426-05f96620561e
- date added to LUP
- 2021-10-27 16:08:40
- date last changed
- 2023-09-27 03:52:39
@inproceedings{9358dd44-d9c9-41bf-9426-05f96620561e, abstract = {{<p>Malignant breast tumours can be distinguished from benign lesions and normal tissue based on their mechanical properties. Our pilot studies have demonstrated the potential of using Mechanical Imaging (MI) combined with mammography to reduce recalls and false positives in breast cancer screening by more accurately identifying benign lesions. To enable further optimization of MI we propose a computer simulation of the MI acquisition, for use in a Virtual Clinical Trial (VCT) framework. VCTs are computer simulated clinical trials used to efficiently evaluate clinical imaging systems. A linear elastic finite element (FE) model of the breast under dynamic compression was implemented using an open-source FE solver. A spherical tumour (15 mm in diameter) was inserted into the simulated predominantly adipose breast. The location and stiffness of the tumour was varied. The average stress on the compressed breast surface was calculated and compared with the local average stress at the tumour location and the Relative Mean Pressure over lesion Area (RMPA) was calculated. Preliminary results were within a realistic range with an average stress on the breast (tumour) of 5.9-16.6 kPa which is in agreement with published values between 1.0 - 22.5 kPa. This corresponds to RMPA values of 0.96-2.15 depending on stiffness and location of the tumour. This can lead to more detailed validation of various MI acquisition schemes through VCTs before their use in clinical studies.</p>}}, author = {{Axelsson, Rebecca and Isaksson, Hanna and Zackrisson, Sophia and Tingberg, Anders and Bakic, Predrag and Dustler, Magnus}}, booktitle = {{Medical Imaging 2021 : Physics of Medical Imaging}}, editor = {{Bosmans, Hilde and Zhao, Wei and Yu, Lifeng}}, isbn = {{9781510640191}}, issn = {{1605-7422}}, keywords = {{Breast cancer screening; Finite element method; Mechanical imaging; Virtual clinical trials}}, language = {{eng}}, pages = {{1--115950}}, publisher = {{SPIE}}, series = {{Progress in Biomedical Optics and Imaging - Proceedings of SPIE}}, title = {{Computer model of mechanical imaging acquisition for virtual clinical trials}}, url = {{http://dx.doi.org/10.1117/12.2582095}}, doi = {{10.1117/12.2582095}}, volume = {{11595}}, year = {{2021}}, }