Title:
MEDICAL IMAGE PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2024/092996
Kind Code:
A1
Abstract:
Disclosed in embodiments of the present application are a medical image processing method and apparatus, a computer device, and a storage medium. The method comprises: obtaining an initial image sequence corresponding to measured data; inputting the initial image sequence into a trained image processing model to obtain a reconstructed image sequence; determining whether a first error between predicted data corresponding to the reconstructed image sequence and the measured data is greater than a first error threshold; if no, using the reconstructed image sequence as a target image sequence; and if yes, adjusting network parameters of the trained image processing model according to the first error; inputting the initial image sequence into the trained image processing model subjected to parameter adjustment to update the reconstructed image sequence; and returning to the step of determining whether the first error between the predicted data corresponding to the reconstructed image sequence and the measured data is greater than the first error threshold. The problem of existing trained image processing model having low accuracy and generalization performance is resolved, and the objective of improving the resolution of medical images is achieved.
Inventors:
LI YINSHENG (CN)
LIANG DONG (CN)
LIU XIN (CN)
ZHENG HAIRONG (CN)
LIANG DONG (CN)
LIU XIN (CN)
ZHENG HAIRONG (CN)
Application Number:
PCT/CN2022/142427
Publication Date:
May 10, 2024
Filing Date:
December 27, 2022
Export Citation:
Assignee:
SHENZHEN INST OF ADV TECH CAS (CN)
International Classes:
G06T7/00
Domestic Patent References:
| WO2020060196A1 | 2020-03-26 |
Foreign References:
| CN111292322A | 2020-06-16 | |||
| CN112419303A | 2021-02-26 | |||
| CN112102428A | 2020-12-18 | |||
| CN111383741A | 2020-07-07 |
Attorney, Agent or Firm:
BEIJING SANYOU INTELLECTUAL PROPERTY AGENCY LTD. (CN)
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