Method and apparatus for generating x-ray tomographic image data X선 단층 영상 데이터를 생성하는 방법 및 장치

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 23
  • Download : 0
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.
Assignee
KAIST, SAMSUNG ELECTRONICS CO LTD
Country
US (United States)
Application Date
2018-11-06
Application Number
16181685
Registration Date
2020-02-11
Registration Number
10559101
URI
http://hdl.handle.net/10203/272570
Appears in Collection
NE-Patent(특허)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0