Title:
DIAGNOSIS SUPPORT DEVICE, PROGRAM, LEARNED MODEL, AND LEARNING DEVICE
Document Type and Number:
WIPO Patent Application WO/2019/172181
Kind Code:
A1
Abstract:
A diagnosis support device (1) is provided with: a learned model storage unit (18) in which is stored a learned model configured by learning weighting factors of a neural network, using nuclear medicine image data relating to brains of multiple subjects, and data relating to diseases of the subjects, as teacher data; an input unit (10) for inputting a nuclear medicine image of a brain of a person being diagnosed; an anatomical standardizing unit (12) which anatomically standardizes the nuclear medicine image input into the input unit (10); a brain surface image generating unit (13) which generates a brain surface image from the anatomically standardized image; a normalizing unit (14) which normalizes the signal strength of the brain surface image; a Z-score image generating unit (15) which generates a Z-score image for the person being diagnosed, on the basis of the normalized brain surface image and brain surface images of a plurality of healthy subjects; an inferring unit (16) which applies the normalized brain surface image to the learned model to infer a disease of the person being diagnosed; and an output unit (17) which outputs data relating to the disease inferred by the inferring unit (16).
Inventors:
NISHIKAWA KAZUHIRO (JP)
Application Number:
PCT/JP2019/008378
Publication Date:
September 12, 2019
Filing Date:
March 04, 2019
Export Citation:
Assignee:
NIHON MEDIPHYSICS CO LTD (JP)
International Classes:
G01T1/161; A61B5/00; A61B5/055; A61B10/00; G06N3/04; G06Q50/22; G06T7/00
Domestic Patent References:
| WO2008056638A1 | 2008-05-15 | |||
| WO2015122524A1 | 2015-08-20 | |||
| WO2019044078A1 | 2019-03-07 |
Foreign References:
| JP2010012176A | 2010-01-21 | |||
| JP2005230456A | 2005-09-02 | |||
| JP2008157640A | 2008-07-10 | |||
| JP2014009945A | 2014-01-20 | |||
| JP2018038515A | 2018-03-15 |
Other References:
CHOI, HONGYOON ET AL.: "Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging", ARXIV: 1704. 06033, 20 April 2017 (2017-04-20), Retrieved from the Internet
1 December 2017 (2017-12-01), Retrieved from the Internet [retrieved on 20190510]
5 March 2018 (2018-03-05), Retrieved from the Internet [retrieved on 20190510]
MURAKAMI TAKESHI: "New Processing Using Anatomical Standardization in Nuclear Neuroimaging", JAPANESE JOURNAL OF RADIOLOGICAL TECHNOLOGY, vol. 57, no. 8, August 2001 (2001-08-01), pages 913 - 919
1 December 2017 (2017-12-01), Retrieved from the Internet
5 March 2018 (2018-03-05), Retrieved from the Internet
MURAKAMI TAKESHI: "New Processing Using Anatomical Standardization in Nuclear Neuroimaging", JAPANESE JOURNAL OF RADIOLOGICAL TECHNOLOGY, vol. 57, no. 8, August 2001 (2001-08-01), pages 913 - 919
Attorney, Agent or Firm:
SUZUKI Mamoru et al. (JP)
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