Evaluation of a Generative Adversarial Network to Improve Image Quality and Reduce Radiation-Dose during Digital Breast Tomosynthesis.
Evaluation of a Generative Adversarial Network to Improve Image Quality and Reduce Radiation-Dose during Digital Breast Tomosynthesis.
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DOI:
10.3390/diagnostics12020495
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发表时间:
2022-02-14
期刊:
影响因子:
--
通讯作者:
Koibuchi Y
中科院分区:
文献类型:
--
作者:
Gomi T;Kijima Y;Kobayashi T;Koibuchi Y
In this study, we evaluated the improvement of image quality in digital breast tomosynthesis under low-radiation dose conditions of pre-reconstruction processing using conditional generative adversarial networks [cGAN (pix2pix)]. Pix2pix pre-reconstruction processing with filtered back projection (FBP) was compared with and without multiscale bilateral filtering (MSBF) during pre-reconstruction processing. Noise reduction and preserve contrast rates were compared using full width at half-maximum (FWHM), contrast-to-noise ratio (CNR), peak signal-to-noise ratio (PSNR), and structural similarity (SSIM) in the in-focus plane using a BR3D phantom at various radiation doses [reference-dose (automatic exposure control reference dose: AECrd), 50% and 75% reduction of AECrd] and phantom thicknesses (40 mm, 50 mm, and 60 mm). The overall performance of pix2pix pre-reconstruction processing was effective in terms of FWHM, PSNR, and SSIM. At ~50% radiation-dose reduction, FWHM yielded good results independently of the microcalcification size used in the BR3D phantom, and good noise reduction and preserved contrast. PSNR results showed that pix2pix pre-reconstruction processing represented the minimum in the error with reference FBP images at an approximately 50% reduction in radiation-dose. SSIM analysis indicated that pix2pix pre-reconstruction processing yielded superior similarity when compared with and without MSBF pre-reconstruction processing at ~50% radiation-dose reduction, with features most similar to the reference FBP images. Thus, pix2pix pre-reconstruction processing is promising for reducing noise with preserve contrast and radiation-dose reduction in clinical practice.
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DOI:
10.3390/diagnostics11091629
发表时间:
2021-09-06
期刊:
Diagnostics (Basel, Switzerland)
影响因子:
--
作者:
Gomi T;Sakai R;Hara H;Watanabe Y;Mizukami S
通讯作者:
Mizukami S
影响因子:
1.8
作者:
Bleuet, P;Guillemaud, R;Magnin, I
通讯作者:
Magnin, I
影响因子:
2
作者:
GORDON, R;BENDER, R;HERMAN, GT
通讯作者:
HERMAN, GT
影响因子:
3.8
作者:
Lu, Yao;Chan, Heang-Ping;Samala, Ravi K.
通讯作者:
Samala, Ravi K.
影响因子:
10.6
作者:
Samala, Ravi K.;Chan, Heang-Ping;Cha, Kenny H.
通讯作者:
Cha, Kenny H.