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Title:
合成医療画像を生成するためのニューラルネットワーク
Document Type and Number:
Japanese Patent JP6960509
Kind Code:
B2
Abstract:
Systems, computer-implemented methods, and computer readable media for generating a synthetic image of an anatomical portion based on an origin image of the anatomical portion acquired by an imaging device using a first imaging modality are disclosed. These systems may be configured to receive the origin image of the anatomical portion acquired by the imaging device using the first imaging modality, receive a convolutional neural network model trained for predicting the synthetic image based on the origin image, and convert the origin image to the synthetic image through the convolutional neural network model. The synthetic image may resemble an imaging of the anatomical portion using a second imaging modality differing from the first imaging modality.

Inventors:
Han Xiao
Application Number:
JP2020147991A
Publication Date:
November 05, 2021
Filing Date:
September 03, 2020
Export Citation:
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Assignee:
ELEKTA,INC.
International Classes:
A61B5/055; A61B6/03; A61B8/14; G01T1/161; G06T1/00; G06T5/50; G06T7/00
Domestic Patent References:
JP9270023A
Foreign References:
WO2016092394A1
WO2015150065A1
WO2015144540A1
US20160113630
Attorney, Agent or Firm:
Yoshito Kitano