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Patent Searching and Data


Title:
ULTRASOUND DIAGNOSTIC DEVICE AND CONTROL METHOD FOR ULTRASOUND DIAGNOSTIC DEVICE
Document Type and Number:
WIPO Patent Application WO/2019/150715
Kind Code:
A1
Abstract:
This ultrasound diagnostic device (1) is provided with: an ultrasound probe (15); an image acquisition unit (8) for transmitting ultrasound beams at a subject from the ultrasound probe (15) and acquiring an ultrasound image; a site recognition unit (9) for recognizing the site of the subject at which the image is acquired by subjecting the ultrasound image acquired by the image acquisition unit to an image analysis; a peripheral site memory (11) for storing at least one peripheral site which is useful for detection of a target site; and an operation guide unit (10) which, in detecting the target site, guides a user to operate the ultrasound probe (15) so as to detect said at least one peripheral site stored in the peripheral site memory (11) and guides the user to operate the ultrasound probe (15) so as to detect the target site on the basis of the result of recognition by the site recognition unit (9).

Inventors:
MATSUMOTO TSUYOSHI (JP)
INOUE TOMOKI (JP)
EBATA TETSUROU (JP)
Application Number:
PCT/JP2018/042652
Publication Date:
August 08, 2019
Filing Date:
November 19, 2018
Export Citation:
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Assignee:
FUJIFILM CORP (JP)
International Classes:
A61B8/14
Foreign References:
JP2009056125A2009-03-19
JP2015171437A2015-10-01
Other References:
JAPANESE SOCIETY OF ULTRASONIC MEDICINE: "Ultrasonic diagnosis, first edition, second printing", 1 June 1989, MEDICAL SCHOOL, JP, ISBN: 4-260-10739-9, article "Passages, Ultrasonic diagnosis, first edition, second printing", pages: 135, 407, 439, 469, 479, 493, XP009522162
MORI; HIDEAKI: "Ultrasound scan for gastrointestinal disorders", JOURNAL OF THE KYORIN MEDICAL SOCIETY, vol. 48, no. 1, 31 March 2017 (2017-03-31), pages 29 - 38, XP055628573
CSURKA ET AL.: "Visual Categorization with Bags of Keypoints", PROC. OF ECCV WORKSHOP ON STATISTICAL LEARNING IN COMPUTER VISION, 2004, pages 59 - 74
KRIZHEVSK ET AL.: "ImageNet Classification with Deep Convolutional Neural Networks", ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS, vol. 25, 2012, pages 1106 - 1114
See also references of EP 3747370A4
Attorney, Agent or Firm:
ITOH Hideaki et al. (JP)
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