Invention Application
- Patent Title: METHOD AND SYSTEM OF STATISTICAL IMAGE RESTORATION FOR LOW-DOSE CT IMAGE USING DEEP LEARNING
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Application No.: US17535682Application Date: 2021-11-25
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Publication No.: US20220164927A1Publication Date: 2022-05-26
- Inventor: Kihwan CHOI
- Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
- Applicant Address: KR Seoul
- Assignee: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee Address: KR Seoul
- Priority: KR10-2020-0161272 20201126
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06N3/04 ; G06T11/00

Abstract:
A method of statistical image restoration for a low-dose CT image using a deep learning, the method includes increasing a number of channels of the low-dose CT image, which is an input image, and decreasing a size of an activation map of the low-dose CT image using an encoder, passing the activation map generated by the encoder to a plurality of residual blocks, and increasing the size of the activation map passed through the residual blocks and generating a denoised result image using a decoder.
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