Shenzhen Mindray Bio-medical Electronics Co., Ltd.

General Hospital of Chinese Pla

Beijing Shen Mindray Medical Electronics Technology Academy Co., Ltd.

International Business Machines Corporation

Xiang Fei

Lei Zhu

Yan Zhang

Fang Quan Xie

Maodong Sang

Xirui Zhang

Yuxin Chen

Yukun Luo

Yiru Wang

Duo Dong

Laura Wynter

Embodiments of the present disclosure provide a contrast enhanced ultrasound imaging method and an ultrasound imaging device. The method may include: determining a target imaging mode from preset imaging modes in response to the first instruction, where the preset imaging modes comprise a first contrast enhanced imaging mode and a second contrast enhanced imaging mode which have different frame rate; transmitting ultrasound waves to a target object and receiving ultrasound echoes returned from the target object according to the determined target imaging mode to obtain ultrasound echo signals; and generating a contrast enhanced image according to the ultrasound echo signals. An ultrasound imaging device is also be provided.

Method for generating contrast enhanced ultrasound images with varied imaging parameters and ultrasound imaging device performing the method

Embodiments of the present disclosure provide a contrast enhanced ultrasound imaging method and an ultrasound imaging device. The method may include: determining a target imaging mode from preset imaging modes in response to the first instruction, where the preset imaging modes comprise a first contrast enhanced imaging mode and a second contrast enhanced imaging mode which have different frame rate; transmitting ultrasound waves to a target object and receiving ultrasound echoes returned from the target object according to the determined target imaging mode to obtain ultrasound echo signals; and generating a contrast enhanced image according to the ultrasound echo signals. An ultrasound imaging device is also provided.

A system, method and computer program product for forecasting a vehicle traffic condition in a near future. The system comprises a traffic prediction tool, a turning percentage prediction module and a simulation tool. The traffic prediction tool estimates a traffic speed and volume in a traffic link. A traffic link refers to a portion of a traffic road where the traffic prediction tool is installed. The turning percentage prediction module estimates a turning percentage in the traffic link based on the estimated traffic speed and traffic volume. The simulation tool computes, based on the estimated turning percentage, the estimated traffic speed and the estimated traffic volume, an expected traffic volume in the traffic link.

Real-time traffic analysis through integration of road traffic prediction and traffic microsimulation models

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Beijing, China

Xiang Fei