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Restoration of low-dose digital breast tomosynthesis

Research output: Contribution to journalArticleScientificpeer-review

Standard

Restoration of low-dose digital breast tomosynthesis. / Borges, Lucas R.; Azzari, Lucio; Bakic, Predrag R.; Maidment, Andrew D.A.; Vieira, Marcelo A.C.; Foi, Alessandro.

In: Measurement Science and Technology, Vol. 29, No. 6, 064003, 19.04.2018.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Borges, LR, Azzari, L, Bakic, PR, Maidment, ADA, Vieira, MAC & Foi, A 2018, 'Restoration of low-dose digital breast tomosynthesis', Measurement Science and Technology, vol. 29, no. 6, 064003. https://doi.org/10.1088/1361-6501/aab2f6

APA

Borges, L. R., Azzari, L., Bakic, P. R., Maidment, A. D. A., Vieira, M. A. C., & Foi, A. (2018). Restoration of low-dose digital breast tomosynthesis. Measurement Science and Technology, 29(6), [064003]. https://doi.org/10.1088/1361-6501/aab2f6

Vancouver

Borges LR, Azzari L, Bakic PR, Maidment ADA, Vieira MAC, Foi A. Restoration of low-dose digital breast tomosynthesis. Measurement Science and Technology. 2018 Apr 19;29(6). 064003. https://doi.org/10.1088/1361-6501/aab2f6

Author

Borges, Lucas R. ; Azzari, Lucio ; Bakic, Predrag R. ; Maidment, Andrew D.A. ; Vieira, Marcelo A.C. ; Foi, Alessandro. / Restoration of low-dose digital breast tomosynthesis. In: Measurement Science and Technology. 2018 ; Vol. 29, No. 6.

Bibtex - Download

@article{8f059089b4a643d48e9fe869d2062018,
title = "Restoration of low-dose digital breast tomosynthesis",
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 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.",
keywords = "denoising, digital breast tomosynthesis, dose reduction, variance stabilization",
author = "Borges, {Lucas R.} and Lucio Azzari and Bakic, {Predrag R.} and Maidment, {Andrew D.A.} and Vieira, {Marcelo A.C.} and Alessandro Foi",
year = "2018",
month = "4",
day = "19",
doi = "10.1088/1361-6501/aab2f6",
language = "English",
volume = "29",
journal = "Measurement Science and Technology",
issn = "0957-0233",
publisher = "IOP Publishing",
number = "6",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Restoration of low-dose digital breast tomosynthesis

AU - Borges, Lucas R.

AU - Azzari, Lucio

AU - Bakic, Predrag R.

AU - Maidment, Andrew D.A.

AU - Vieira, Marcelo A.C.

AU - Foi, Alessandro

PY - 2018/4/19

Y1 - 2018/4/19

N2 - 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.

AB - 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.

KW - denoising

KW - digital breast tomosynthesis

KW - dose reduction

KW - variance stabilization

U2 - 10.1088/1361-6501/aab2f6

DO - 10.1088/1361-6501/aab2f6

M3 - Article

VL - 29

JO - Measurement Science and Technology

JF - Measurement Science and Technology

SN - 0957-0233

IS - 6

M1 - 064003

ER -