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- Costa, Arthur C.Lund University,Lunds universitet,Diagnostisk radiologi, Malmö,Forskargrupper vid Lunds universitet,Radiology Diagnostics, Malmö,Lund University Research Groups,University of São Paulo (author)
Assessment of projection interpolation to compensate for the increased radiation dose in DBTMI
- Article/chapterEnglish2023
Publisher, publication year, extent ...
- 2023
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- LIBRIS-ID:oai:lup.lub.lu.se:43b6d48e-396b-4b6b-8c0c-36c0b60854ee
- https://lup.lub.lu.se/record/43b6d48e-396b-4b6b-8c0c-36c0b60854eeURI
- https://doi.org/10.1117/12.2655006DOI
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- Language:English
- Summary in:English
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- 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.
Subject headings and genre
- MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Radiologi och bildbehandling hsv//swe
- MEDICAL AND HEALTH SCIENCES Clinical Medicine Radiology, Nuclear Medicine and Medical Imaging hsv//eng
- deep learning
- digital breast tomosynthesis
- mechanical imaging
- neural network
- radiation dose
- video frame interpolation
Added entries (persons, corporate bodies, meetings, titles ...)
- Bjerkén, AnnaLund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Medical Radiation Physics, Malmö,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments(Swepub:lu)an5554be (author)
- Dustler, MagnusLund University,Lunds universitet,Diagnostisk radiologi, Malmö,Forskargrupper vid Lunds universitet,Medicinsk strålningsfysik, Malmö,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Radiology Diagnostics, Malmö,Lund University Research Groups,Medical Radiation Physics, Malmö,LUCC: Lund University Cancer Centre,Other Strong Research Environments(Swepub:lu)med-mdu (author)
- Tingberg, AndersLund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Medical Radiation Physics, Malmö,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments(Swepub:lu)rfa-ati (author)
- Bakic, PredragLund University,Lunds universitet,Diagnostisk radiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Diagnostic Radiology, (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine(Swepub:lu)pr1633ba (author)
- Vieira, Marcelo A.C.University of São Paulo (author)
- Yu, Lifeng (editor)
- Fahrig, Rebecca (editor)
- Sabol, John M. (editor)
- Diagnostisk radiologi, MalmöForskargrupper vid Lunds universitet (creator_code:org_t)
Related titles
- In:Medical Imaging 2023 : Physics of Medical Imaging - Physics of Medical Imaging124631605-74229781510660311
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