Title:
GENERATIVE ADVERSARIAL NETWORK-BASED LOSSLESS IMAGE COMPRESSION MODEL FOR CROSS-SECTIONAL IMAGING
Document Type and Number:
WIPO Patent Application WO/2023/001089
Kind Code:
A1
Abstract:
A novel medical image generation approach synthesizes thin-cut computerized tomography (CT) images from thick-cut CT ones as inputs. First thick-cut CT images are obtained by maximizing the pixel-wise intensity of five or more than five continuous thin-cut ones after image registration. Second, the obtained thick-cut CT images are fed into a generator block which adopts an encoder-decoder architecture, where each thick-cut image is encoded into low-dimensional embedding space before decoding into multiple thin-cut ones. Third, a discriminator focuses on distinguishing original real thin-cut images from synthetic thin-cut images. An adversarial mechanism between the generator and discriminator causes the discriminator's output to provide an effective gradient update of the network parameters for the generator to increasingly improve the generator's ability to synthesize higher-quality thin-cut images and in turn promotes the discriminator's discriminating capability.
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Inventors:
CAO WENMING (CN)
LUI GILBERT (CN)
CHIU KEITH (CN)
YUEN MAN FUNG (CN)
SETO WAI KAY WALTER (CN)
LUI GILBERT (CN)
CHIU KEITH (CN)
YUEN MAN FUNG (CN)
SETO WAI KAY WALTER (CN)
Application Number:
PCT/CN2022/106185
Publication Date:
January 26, 2023
Filing Date:
July 18, 2022
Export Citation:
Assignee:
VERSITECH LTD (CN)
THE EDUCATION UNIV OF HONG KONG (CN)
THE EDUCATION UNIV OF HONG KONG (CN)
International Classes:
G06T3/00
Foreign References:
| CN111787323A | 2020-10-16 | |||
| CN108182657A | 2018-06-19 | |||
| CN107909621A | 2018-04-13 | |||
| CN112508835A | 2021-03-16 |
Other References:
AKIRA KUDO; YOSHIRO KITAMURA; YUANZHONG LI; SATOSHI IIZUKA; EDGAR SIMO-SERRA: "Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval", ARXIV.ORG, 30 August 2019 (2019-08-30), pages 1 - 10, XP081498292
Attorney, Agent or Firm:
LIU, SHEN & ASSOCIATES (CN)
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