Proposal to Improve the Image Quality of Short-Acquisition Time-Dedicated Breast Positron Emission Tomography Using the Pix2pix Generative Adversarial Network

Proposal to Improve the Image Quality of Short-Acquisition Time-Dedicated Breast Positron Emission Tomography Using the Pix2pix Generative Adversarial Network

This study aimed to evaluate the ability of the pix2pix generative adversarial network (GAN) to improve the image quality of low-count dedicated breast positron emission tomography (dbPET). Pairs of full- and low-count dbPET images were collected from 49 breasts. An image synthesis model was constru...

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Bibliographic Details
Main Authors: Tomoyuki Fujioka, Yoko Satoh, Tomoki Imokawa, Mio Mori, Emi Yamaga, Kanae Takahashi, Kazunori Kubota, Hiroshi Onishi, Ukihide Tateishi
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Diagnostics
Subjects:
dedicated breast positron emission tomography
breast cancer
image synthesis
generative adversarial network
artificial intelligence
Online Access:https://www.mdpi.com/2075-4418/12/12/3114

Internet

https://www.mdpi.com/2075-4418/12/12/3114

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