Assessment of projection interpolation to compensate for the increased radiation dose in DBTMI
Costa, Arthur C. LU ; Bjerkén, Anna LU
; Dustler, Magnus
LU
; Tingberg, Anders
LU
; Bakic, Predrag
LU
and Vieira, Marcelo A.C.
(2023)
Medical Imaging 2023: Physics of Medical Imaging
In Progress in Biomedical Optics and Imaging - Proceedings of SPIE
12463.
- Abstract
The combination of digital breast tomosynthesis (DBT) with other imaging modalities has been investigated in order to improve the detection and diagnosis of breast cancer. Mechanical Imaging (MI) measures the stress over the surface of the compressed breast, using a pressure sensor, during radiographic examination and its response has shown a correlation with the presence of malignant lesions. Thus, the combination of DBT and MI (DBTMI) has shown potential to reduce false positive results in breast cancer screening. However, compared to the conventional DBT exam, the presence of the MI sensor during mammographic image acquisition may cause a slight increase in the radiation dose. This work presents a proposal to reduce the radiation... (More)
The combination of digital breast tomosynthesis (DBT) with other imaging modalities has been investigated in order to improve the detection and diagnosis of breast cancer. Mechanical Imaging (MI) measures the stress over the surface of the compressed breast, using a pressure sensor, during radiographic examination and its response has shown a correlation with the presence of malignant lesions. Thus, the combination of DBT and MI (DBTMI) has shown potential to reduce false positive results in breast cancer screening. However, compared to the conventional DBT exam, the presence of the MI sensor during mammographic image acquisition may cause a slight increase in the radiation dose. This work presents a proposal to reduce the radiation dose in DBTMI exams by removing some projections from the original set and replacing them with synthetic projections generated by a video frame interpolation (VFI) neural network. We compared several DBTMI acquisition arrangements, considering the removal of 16% of the original projections, using a deformable physical breast phantom, and evaluated the quality of the reconstructed images based on the Normalized Root Mean Squared Error (NRMSE). The results showed that, for some arrangements, the slices reconstructed with the addition of synthetic DBTMI projections presented better quality than when they were reconstructed with the reduced set of projections. Further studies must be carried out to optimize the interpolation approach.
(Less)
- author
- Costa, Arthur C.
LU
; Bjerkén, Anna
LU
; Dustler, Magnus
LU
; Tingberg, Anders
LU
; Bakic, Predrag
LU
and Vieira, Marcelo A.C.
- organization
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- deep learning, digital breast tomosynthesis, mechanical imaging, neural network, radiation dose, video frame interpolation
- host publication
- Medical Imaging 2023 : Physics of Medical Imaging - Physics of Medical Imaging
- series title
- Progress in Biomedical Optics and Imaging - Proceedings of SPIE
- editor
- Yu, Lifeng ; Fahrig, Rebecca and Sabol, John M.
- volume
- 12463
- article number
- 1246344
- publisher
- SPIE
- conference name
- Medical Imaging 2023: Physics of Medical Imaging
- conference location
- San Diego, United States
- conference dates
- 2023-02-19 - 2023-02-23
- external identifiers
-
- scopus:85160721783
- ISSN
- 1605-7422
- ISBN
- 9781510660311
- DOI
- 10.1117/12.2655006
- language
- English
- LU publication?
- yes
- id
- 43b6d48e-396b-4b6b-8c0c-36c0b60854ee
- date added to LUP
- 2023-08-30 13:56:31
- date last changed
- 2023-08-31 09:09:00
@inproceedings{43b6d48e-396b-4b6b-8c0c-36c0b60854ee,
abstract = {{<p>The combination of digital breast tomosynthesis (DBT) with other imaging modalities has been investigated in order to improve the detection and diagnosis of breast cancer. Mechanical Imaging (MI) measures the stress over the surface of the compressed breast, using a pressure sensor, during radiographic examination and its response has shown a correlation with the presence of malignant lesions. Thus, the combination of DBT and MI (DBTMI) has shown potential to reduce false positive results in breast cancer screening. However, compared to the conventional DBT exam, the presence of the MI sensor during mammographic image acquisition may cause a slight increase in the radiation dose. This work presents a proposal to reduce the radiation dose in DBTMI exams by removing some projections from the original set and replacing them with synthetic projections generated by a video frame interpolation (VFI) neural network. We compared several DBTMI acquisition arrangements, considering the removal of 16% of the original projections, using a deformable physical breast phantom, and evaluated the quality of the reconstructed images based on the Normalized Root Mean Squared Error (NRMSE). The results showed that, for some arrangements, the slices reconstructed with the addition of synthetic DBTMI projections presented better quality than when they were reconstructed with the reduced set of projections. Further studies must be carried out to optimize the interpolation approach.</p>}},
author = {{Costa, Arthur C. and Bjerkén, Anna and Dustler, Magnus and Tingberg, Anders and Bakic, Predrag and Vieira, Marcelo A.C.}},
booktitle = {{Medical Imaging 2023 : Physics of Medical Imaging}},
editor = {{Yu, Lifeng and Fahrig, Rebecca and Sabol, John M.}},
isbn = {{9781510660311}},
issn = {{1605-7422}},
keywords = {{deep learning; digital breast tomosynthesis; mechanical imaging; neural network; radiation dose; video frame interpolation}},
language = {{eng}},
publisher = {{SPIE}},
series = {{Progress in Biomedical Optics and Imaging - Proceedings of SPIE}},
title = {{Assessment of projection interpolation to compensate for the increased radiation dose in DBTMI}},
url = {{http://dx.doi.org/10.1117/12.2655006}},
doi = {{10.1117/12.2655006}},
volume = {{12463}},
year = {{2023}},
}