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Noise measurements from reconstructed digital breast tomosynthesis

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Standard

Noise measurements from reconstructed digital breast tomosynthesis. / Vimieiro, Rodrigo B.; Borges, Lucas R.; Caron, Renato F.; Barufaldi, Bruno; Bakic, Predrag R.; Maidment, Andrew D.A.; Vieira, Marcelo A.C.

Medical Imaging 2019: Physics of Medical Imaging. toim. / Taly Gilat Schmidt; Guang-Hong Chen; Hilde Bosmans. SPIE, IEEE, 2019. 109480C (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vuosikerta 10948).

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Harvard

Vimieiro, RB, Borges, LR, Caron, RF, Barufaldi, B, Bakic, PR, Maidment, ADA & Vieira, MAC 2019, Noise measurements from reconstructed digital breast tomosynthesis. julkaisussa TG Schmidt, G-H Chen & H Bosmans (toim), Medical Imaging 2019: Physics of Medical Imaging., 109480C, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vuosikerta. 10948, SPIE, IEEE, 1/01/00. https://doi.org/10.1117/12.2512977

APA

Vimieiro, R. B., Borges, L. R., Caron, R. F., Barufaldi, B., Bakic, P. R., Maidment, A. D. A., & Vieira, M. A. C. (2019). Noise measurements from reconstructed digital breast tomosynthesis. teoksessa T. G. Schmidt, G-H. Chen, & H. Bosmans (Toimittajat), Medical Imaging 2019: Physics of Medical Imaging [109480C] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vuosikerta 10948). SPIE, IEEE. https://doi.org/10.1117/12.2512977

Vancouver

Vimieiro RB, Borges LR, Caron RF, Barufaldi B, Bakic PR, Maidment ADA et al. Noise measurements from reconstructed digital breast tomosynthesis. julkaisussa Schmidt TG, Chen G-H, Bosmans H, toimittajat, Medical Imaging 2019: Physics of Medical Imaging. SPIE, IEEE. 2019. 109480C. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). https://doi.org/10.1117/12.2512977

Author

Vimieiro, Rodrigo B. ; Borges, Lucas R. ; Caron, Renato F. ; Barufaldi, Bruno ; Bakic, Predrag R. ; Maidment, Andrew D.A. ; Vieira, Marcelo A.C. / Noise measurements from reconstructed digital breast tomosynthesis. Medical Imaging 2019: Physics of Medical Imaging. Toimittaja / Taly Gilat Schmidt ; Guang-Hong Chen ; Hilde Bosmans. SPIE, IEEE, 2019. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

Bibtex - Lataa

@inproceedings{c9924bde83ff47a2a82f586809b28f72,
title = "Noise measurements from reconstructed digital breast tomosynthesis",
abstract = "In this work, we investigated and measured the noise in Digital Breast Tomosynthesis (DBT) slices considering the back-projection (BP) algorithm for image reconstruction. First, we presented our open-source DBT reconstruction toolbox and validated with a freely available virtual clinical trials (VCT) software, comparing our results with the reconstruction toolbox available at the Food and Drug Administration's (FDA) repository. A virtual anthropomorphic breast phantom was generated in the VCT environment and noise-free DBT projections were simulated. Slices were reconstructed by both toolboxes and objective metrics were measured to evaluate the performance of our in-house reconstruction software. For the noise analysis, commercial DBT systems from two vendors were used to obtain x-ray projections of a uniform polymethyl methacrylate (PMMA) physical phantom. One system featured an indirect thallium activated cesium iodide (CsI(TI)) scintillator detector and the other a direct amorphous selenium (a-Se) detector. Our in-house software was used to reconstruct raw projections into tomographic slices, and the mean pixel value, noise variance, signal-to-noise ratio (SNR) and the normalized noise power spectrum (NNPS) were measured. In addition, we investigated the adequacy of a heteroskedastic Gaussian model, with an affine variance function, to describe the noise in the reconstruction domain. The measurements show that the variance and SNR from reconstructed slices report similar spatial and signal dependency from previously reported in the projection domain. NNPS showed that the reconstruction process correlates the noise of the DBT slices in the case of projections degraded with almost uncorrelated noise.",
keywords = "Back-projection, Digital breast tomosynthesis, Image reconstruction, Noise measurements, Virtual clinical trials",
author = "Vimieiro, {Rodrigo B.} and Borges, {Lucas R.} and Caron, {Renato F.} and Bruno Barufaldi and Bakic, {Predrag R.} and Maidment, {Andrew D.A.} and Vieira, {Marcelo A.C.}",
year = "2019",
month = "3",
day = "1",
doi = "10.1117/12.2512977",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE, IEEE",
editor = "Schmidt, {Taly Gilat} and Guang-Hong Chen and Hilde Bosmans",
booktitle = "Medical Imaging 2019",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Noise measurements from reconstructed digital breast tomosynthesis

AU - Vimieiro, Rodrigo B.

AU - Borges, Lucas R.

AU - Caron, Renato F.

AU - Barufaldi, Bruno

AU - Bakic, Predrag R.

AU - Maidment, Andrew D.A.

AU - Vieira, Marcelo A.C.

PY - 2019/3/1

Y1 - 2019/3/1

N2 - In this work, we investigated and measured the noise in Digital Breast Tomosynthesis (DBT) slices considering the back-projection (BP) algorithm for image reconstruction. First, we presented our open-source DBT reconstruction toolbox and validated with a freely available virtual clinical trials (VCT) software, comparing our results with the reconstruction toolbox available at the Food and Drug Administration's (FDA) repository. A virtual anthropomorphic breast phantom was generated in the VCT environment and noise-free DBT projections were simulated. Slices were reconstructed by both toolboxes and objective metrics were measured to evaluate the performance of our in-house reconstruction software. For the noise analysis, commercial DBT systems from two vendors were used to obtain x-ray projections of a uniform polymethyl methacrylate (PMMA) physical phantom. One system featured an indirect thallium activated cesium iodide (CsI(TI)) scintillator detector and the other a direct amorphous selenium (a-Se) detector. Our in-house software was used to reconstruct raw projections into tomographic slices, and the mean pixel value, noise variance, signal-to-noise ratio (SNR) and the normalized noise power spectrum (NNPS) were measured. In addition, we investigated the adequacy of a heteroskedastic Gaussian model, with an affine variance function, to describe the noise in the reconstruction domain. The measurements show that the variance and SNR from reconstructed slices report similar spatial and signal dependency from previously reported in the projection domain. NNPS showed that the reconstruction process correlates the noise of the DBT slices in the case of projections degraded with almost uncorrelated noise.

AB - In this work, we investigated and measured the noise in Digital Breast Tomosynthesis (DBT) slices considering the back-projection (BP) algorithm for image reconstruction. First, we presented our open-source DBT reconstruction toolbox and validated with a freely available virtual clinical trials (VCT) software, comparing our results with the reconstruction toolbox available at the Food and Drug Administration's (FDA) repository. A virtual anthropomorphic breast phantom was generated in the VCT environment and noise-free DBT projections were simulated. Slices were reconstructed by both toolboxes and objective metrics were measured to evaluate the performance of our in-house reconstruction software. For the noise analysis, commercial DBT systems from two vendors were used to obtain x-ray projections of a uniform polymethyl methacrylate (PMMA) physical phantom. One system featured an indirect thallium activated cesium iodide (CsI(TI)) scintillator detector and the other a direct amorphous selenium (a-Se) detector. Our in-house software was used to reconstruct raw projections into tomographic slices, and the mean pixel value, noise variance, signal-to-noise ratio (SNR) and the normalized noise power spectrum (NNPS) were measured. In addition, we investigated the adequacy of a heteroskedastic Gaussian model, with an affine variance function, to describe the noise in the reconstruction domain. The measurements show that the variance and SNR from reconstructed slices report similar spatial and signal dependency from previously reported in the projection domain. NNPS showed that the reconstruction process correlates the noise of the DBT slices in the case of projections degraded with almost uncorrelated noise.

KW - Back-projection

KW - Digital breast tomosynthesis

KW - Image reconstruction

KW - Noise measurements

KW - Virtual clinical trials

U2 - 10.1117/12.2512977

DO - 10.1117/12.2512977

M3 - Conference contribution

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2019

A2 - Schmidt, Taly Gilat

A2 - Chen, Guang-Hong

A2 - Bosmans, Hilde

PB - SPIE, IEEE

ER -