Restoration of low-dose digital breast tomosynthesis
| Autor: | Alessandro Foi, Lucas R. Borges, Marcelo Andrade da Costa Vieira, Andrew D. A. Maidment, Predrag R. Bakic, Lucio Azzari |
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| Přispěvatelé: | Tampere University, Signal Processing |
| Rok vydání: | 2018 |
| Předmět: |
Pixel
Image quality Computer science business.industry Applied Mathematics Noise reduction 02 engineering and technology Digital Breast Tomosynthesis Radiation 113 Computer and information sciences Signal 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Quality (physics) 0202 electrical engineering electronic engineering information engineering ENGENHARIA ELÉTRICA 020201 artificial intelligence & image processing Computer vision Noise (video) Artificial intelligence business Instrumentation Engineering (miscellaneous) |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| ISSN: | 1361-6501 0957-0233 |
| DOI: | 10.1088/1361-6501/aab2f6 |
| Popis: | In breast cancer screening, the radiation dose must be kept to the minimum necessary to achieve the desired diagnostic objective, thus minimizing risks associated with cancer induction. However, decreasing the radiation dose also degrades the image quality. In this work we restore digital breast tomosynthesis (DBT) projections acquired at low radiation doses with the goal of achieving a quality comparable to that obtained from current standard full-dose imaging protocols. A multiframe denoising algorithm was applied to low-dose projections, which are filtered jointly. Furthermore, a weighted average was used to inject a varying portion of the noisy signal back into the denoised one, in order to attain a signal-to-noise ratio comparable to that of standard full-dose projections. The entire restoration framework leverages a signal-dependent noise model with quantum gain which varies both upon the projection angle and on the pixel position. A clinical DBT system and a 3D anthropomorphic breast phantom were used to validate the proposed method, both on DBT projections and slices from the 3D reconstructed volume. The framework is shown to attain the standard full-dose image quality from data acquired at 50% lower radiation dose, whereas progressive loss of relevant details compromises the image quality if the dosage is further decreased. acceptedVersion |
| Databáze: | OpenAIRE |
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