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Title:
DOSE DISTRIBUTION CREATING PROGRAM IN CONSIDERATION OF INFLUENCE OF MAGNETIC FIELD, DOSE DISTRIBUTION CREATING METHOD IN CONSIDERATION OF INFLUENCE OF MAGNETIC FIELD, AND DOSE DISTRIBUTION CREATING APPARATUS
Document Type and Number:
WIPO Patent Application WO/2022/097676
Kind Code:
A1
Abstract:
In order to provide a dose distribution creating program in consideration of influence of a magnetic field, dose distribution creating method in consideration of influence of a magnetic field, and dose distribution creating apparatus, enabling faster and more accurate dose calculation in a magnetic field than before, this dose distribution creating program in consideration of influence of a magnetic field is configured to cause a computer to: acquire an image obtained by capturing a subject with a magnetic field and an electrical wave or photon beam, a dose distribution not in a magnetic field, and a dose distribution in a magnetic field; input the dose distribution not in a magnetic field and information based on the captured image into a learning model (171) that is formed from a plurality of layers and has been trained in advance using the dose distribution not in a magnetic field, dose distribution in a magnetic field, and information based on the captured image; and estimate the dose distribution in a magnetic field.

Inventors:
KADOYA NORIYUKI (JP)
KAJIKAWA TOMOHIRO (JP)
TANAKA SHOHEI (JP)
DOBASHI SUGURU (JP)
JINGU KEIICHI (JP)
Application Number:
PCT/JP2021/040559
Publication Date:
May 12, 2022
Filing Date:
November 04, 2021
Export Citation:
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Assignee:
UNIV TOHOKU (JP)
International Classes:
A61N5/10
Foreign References:
US20200254277A12020-08-13
US20160310761A12016-10-27
JP2020528791A2020-10-01
JP2020178935A2020-11-05
JP2020185160A2020-11-19
JP2019526380W
Other References:
NORIYUKI KADOYA, MEDICAL PHYSICS, vol. 36, no. 4, 2016, pages 229 - 235
GAO HUANGZHUANG LIU: "Densely Connected Convolutional Networks", 2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR, 2017
Attorney, Agent or Firm:
TANAI Sumio et al. (JP)
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