Title:
医用画像変換
Document Type and Number:
Japanese Patent JP7038857
Kind Code:
B2
Abstract:
In accordance with one or more embodiments herein, a system 100 for generating an optimized parametrized conversion function T for converting an original medical image of a first image type into a converted medical image of a second image type is provided. The system 100 comprises at least one processing unit configured to: obtain original medical images of the first and second image types; obtain an initial parametrized conversion function G to convert original medical images of the first image type into converted medical images of the second image type; calculate a first penalty P1based on at least one comparison of a first original medical image of the second image type with a first converted medical image of the second image type, that has been generated by applying a first parametrized conversion function G1, which is based on the initial parametrized conversion function G, to a first original medical image of the first image type that forms an image pair with the first original medical image of the second image type and has thereby been determined to show the same part of the same patient; calculate a second penalty P2based on at least one comparison of an original medical image of the first image type and a converted medical image of the second image type that has been generated by applying a second parametrized conversion function G2, which is based on the initial parametrized conversion function G, to the original medical image of the first image type, after converting the original medical image of the first image type and/or the converted medical image of the second image type into images of the same image type; and generate the optimized parametrized conversion function T based on the parameters of the initial parametrized conversion function G and at least said first and second penalties P1and P2.
Inventors:
Anderson, Sebastian
Frederickson, Alvin
Nordstrom, Marcus
Nilsson, Rasmus
Frederickson, Alvin
Nordstrom, Marcus
Nilsson, Rasmus
Application Number:
JP2020565311A
Publication Date:
March 18, 2022
Filing Date:
May 20, 2019
Export Citation:
Assignee:
Raysearch Laboratories, AB
International Classes:
G06T7/00; A61B5/055; A61B6/03; G06T1/00
Domestic Patent References:
| JP2018505705A |
Other References:
Avi Ben-Cohen, et al.,Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results,arXiv:1707.09585v1,2017年07月30日,pp.1-9
Taeksoo Kim, et al.,Learning to Discover Cross-Domain Relations with Generative Adversarial Networks,Proceedings of the 34 th International Conference on Machine Learning,2017年,PMLR 70
Taeksoo Kim, et al.,Learning to Discover Cross-Domain Relations with Generative Adversarial Networks,Proceedings of the 34 th International Conference on Machine Learning,2017年,PMLR 70
Attorney, Agent or Firm:
Ryoichi Takaoka
Nao Oda
Akiyo Iwahori
Rena Miyoshi
Kamoto Takahashi
Nao Oda
Akiyo Iwahori
Rena Miyoshi
Kamoto Takahashi
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