Title:
IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM HAVING PROGRAM STORED THEREON
Document Type and Number:
WIPO Patent Application WO/2022/186263
Kind Code:
A1
Abstract:
The present disclosure makes it possible to acquire an image of high quality while shorten an imaging time by an MRI device. A data acquisition unit (11) acquires low-density sampling k-space raw data obtained by imaging a subject while reducing the number of measurement points by the MRI device, and outputs input data (IN) based on the low-density sampling k-space raw data. An inference processing unit (12) performs inference processing by inputting the input data (IN) to a trained model, and outputs restored image data (IMG) in which the image quality reduced by reducing the number of measurement points has been restored. An image display unit (13) displays the restored image data (IMG).
Inventors:
SUZUKI KENJI (JP)
JIN ZE (JP)
JIN ZE (JP)
Application Number:
PCT/JP2022/008813
Publication Date:
September 09, 2022
Filing Date:
March 02, 2022
Export Citation:
Assignee:
TOKYO INST TECH (JP)
International Classes:
G01R33/48; A61B5/055; G01N24/00
Other References:
RAVISHANKAR SAIPRASAD; YE JONG CHUL; FESSLER JEFFREY A.: "Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning", PROCEEDINGS OF THE IEEE, IEEE. NEW YORK., US, vol. 108, no. 1, 1 January 2020 (2020-01-01), US , pages 86 - 109, XP011763168, ISSN: 0018-9219, DOI: 10.1109/JPROC.2019.2936204
Attorney, Agent or Firm:
IEIRI Takeshi (JP)
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