Title:
ULTRASONIC DIAGNOSTIC APPARATUS AND CONTROL METHOD FOR ULTRASONIC DIAGNOSTIC APPARATUS
Document Type and Number:
WIPO Patent Application WO/2021/033491
Kind Code:
A1
Abstract:
An ultrasonic diagnostic apparatus (1) is provided with: an imaging unit (5) for acquiring an ultrasonic image by transmission of an ultrasonic beam from an oscillator array (2) toward a subject and reception of an ultrasonic echo from the subject; a standard information acquisition unit (10) for acquiring standard information in which a standard regarding at least one type of a blood vessel insertion object is included; a type specification unit (11) for specifying the type of an insertion object to be inserted in a blood vessel of the subject; a blood vessel extraction unit (8) for extracting the blood vessel by analysis of the ultrasonic image; an insertion possibility determination unit (12) for, on the basis of the acquired standard information and the type of the specified insertion object, determining whether or not it is possible to insert the insertion object in the extracted blood vessel; and a notification unit (13) for notifying of the determination result.
Inventors:
MATSUMOTO TSUYOSHI (JP)
Application Number:
PCT/JP2020/028660
Publication Date:
February 25, 2021
Filing Date:
July 27, 2020
Export Citation:
Assignee:
FUJIFILM CORP (JP)
International Classes:
A61B8/14
Foreign References:
| JPH09276278A | 1997-10-28 | |||
| JP2013116263A | 2013-06-13 | |||
| JP2009045427A | 2009-03-05 | |||
| JP2003126093A | 2003-05-07 | |||
| JP2005253742A | 2005-09-22 | |||
| JP2013526959A | 2013-06-27 | |||
| JP2015198888A | 2015-11-12 | |||
| JP2014221161A | 2014-11-27 | |||
| US20130102889A1 | 2013-04-25 | |||
| JP2010269018A | 2010-12-02 |
Other References:
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 4014890A4
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 4014890A4
Attorney, Agent or Firm:
ITOH Hideaki et al. (JP)
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