DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cho, Seungryong | ko |
dc.contributor.author | Lee, Ho Yeon | ko |
dc.contributor.author | Lee, Jong Ha | ko |
dc.date.accessioned | 2020-03-19T01:48:59Z | - |
dc.date.available | 2020-03-19T01:48:59Z | - |
dc.identifier.uri | http://hdl.handle.net/10203/272570 | - |
dc.description.abstract | Provided are a method and apparatus for interpolating X-ray tomographic image data by using a machine learning model. A method of interpolating an X-ray tomographic image or X-ray tomographic composite image data includes obtaining a trained model parameter via machine learning that uses a sub-sampled sinogram for learning as an input and uses a full-sampled sinogram for learning as a ground truth; radiating X-rays onto an object at a plurality of preset angular locations via an X-ray source, and obtaining a sparsely-sampled sinogram including X-ray projection data obtained via X-rays detected at the plurality of preset angular locations; applying the trained model parameter to the sparsely-sampled sinogram by using the machine learning model; and generating a densely-sampled sinogram by estimating X-ray projection data not obtained with respect to the object on the sparsely-sampled sinogram. | - |
dc.title | Method and apparatus for generating x-ray tomographic image data | - |
dc.title.alternative | X선 단층 영상 데이터를 생성하는 방법 및 장치 | - |
dc.type | Patent | - |
dc.type.rims | PAT | - |
dc.contributor.localauthor | Cho, Seungryong | - |
dc.contributor.nonIdAuthor | Lee, Ho Yeon | - |
dc.contributor.nonIdAuthor | Lee, Jong Ha | - |
dc.contributor.assignee | KAIST, SAMSUNG ELECTRONICS CO LTD | - |
dc.identifier.iprsType | 특허 | - |
dc.identifier.patentApplicationNumber | 16181685 | - |
dc.identifier.patentRegistrationNumber | 10559101 | - |
dc.date.application | 2018-11-06 | - |
dc.date.registration | 2020-02-11 | - |
dc.publisher.country | US | - |
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