Title:
ULTRASONIC DIAGNOSTIC DEVICE AND METHOD FOR CONTROLLING ULTRASONIC DIAGNOSTIC DEVICE
Document Type and Number:
WIPO Patent Application WO/2019/187649
Kind Code:
A1
Abstract:
Provided are an ultrasonic diagnostic device and a method for controlling an ultrasonic diagnostic device, whereby a blood flow rate can be measured easily and in a short time. An ultrasonic diagnostic device (1) is provided with a display unit (8) for displaying a B-mode image in which at least a blood vessel region is imaged, a position designation reception unit (18) for receiving a designation of the position of the blood vessel region in the B-mode image, a blood vessel wall detection unit (10) for performing image analysis of the B-mode image on the basis of the designated position of the blood vessel region and detecting a blood vessel wall, a cross-sectional area calculation unit (12) for calculating the cross-sectional area of the blood vessel on the basis of the detected blood vessel wall, a gate setting unit (11) for setting a Doppler gate in the blood vessel region of the B-mode image on the basis of the detected blood vessel wall, and a blood flow rate measurement unit (13) for measuring a blood flow rate on the basis of the cross-sectional area of the blood vessel and a blood flow velocity and displaying the calculation result in the display unit (8).
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Inventors:
INOUE TOMOKI (JP)
MIYACHI YUKIYA (JP)
MIYACHI YUKIYA (JP)
Application Number:
PCT/JP2019/003986
Publication Date:
October 03, 2019
Filing Date:
February 05, 2019
Export Citation:
Assignee:
FUJIFILM CORP (JP)
International Classes:
A61B8/06; A61B8/14
Domestic Patent References:
| WO2011099102A1 | 2011-08-18 |
Foreign References:
| JPH10216129A | 1998-08-18 | |||
| JP4749592B2 | 2011-08-17 | |||
| JP2002052026A | 2002-02-19 | |||
| JP4749592B2 | 2011-08-17 | |||
| JPS5844325B2 | 1983-10-03 |
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 3777698A4
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 3777698A4
Attorney, Agent or Firm:
NAKASHIMA Junko et al. (JP)
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