Restoration of low-dose digital breast tomosynthesis
(2018) In Measurement Science and Technology 29(6).- Abstract
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... (More)
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.
(Less)
- author
- Borges, Lucas R. ; Azzari, Lucio ; Bakic, Predrag R. LU ; Maidment, Andrew D.A. ; Vieira, Marcelo A.C. and Foi, Alessandro
- publishing date
- 2018-04-19
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- denoising, digital breast tomosynthesis, dose reduction, variance stabilization
- in
- Measurement Science and Technology
- volume
- 29
- issue
- 6
- article number
- 064003
- publisher
- IOP Publishing
- external identifiers
-
- scopus:85047322570
- ISSN
- 0957-0233
- DOI
- 10.1088/1361-6501/aab2f6
- language
- English
- LU publication?
- no
- id
- eac8c811-44d8-4b80-9e21-cb80edacde82
- date added to LUP
- 2020-11-07 12:58:22
- date last changed
- 2022-04-19 01:53:03
@article{eac8c811-44d8-4b80-9e21-cb80edacde82,
abstract = {{<p>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.</p>}},
author = {{Borges, Lucas R. and Azzari, Lucio and Bakic, Predrag R. and Maidment, Andrew D.A. and Vieira, Marcelo A.C. and Foi, Alessandro}},
issn = {{0957-0233}},
keywords = {{denoising; digital breast tomosynthesis; dose reduction; variance stabilization}},
language = {{eng}},
month = {{04}},
number = {{6}},
publisher = {{IOP Publishing}},
series = {{Measurement Science and Technology}},
title = {{Restoration of low-dose digital breast tomosynthesis}},
url = {{http://dx.doi.org/10.1088/1361-6501/aab2f6}},
doi = {{10.1088/1361-6501/aab2f6}},
volume = {{29}},
year = {{2018}},
}