Medison Co., Ltd.

Samsung Life Welfare Foundation

Korea Advanced Institute of Science and Technology

Samsung Medison Co., Ltd.

Cheol An Kim

Sung Ho Kim

Eun Ho Yang

Seung Woo Park

Jung Park

Young Seuk Song

Min Young Park

Ki Jong Lee

Bong Soo Yoo

Hye Jung Kim

Ji Hoon Bang

Seung Woo Lee

Yong Sun Kim

Jong Beom Ra

Jae Sub Hwang

Dong Hoon Yu

Seong Chul Shin

Gi Duck Kim

Sang Bum Gye

The embodiment of the present invention provides an ultrasound diagnostic system, including: an ultrasound diagnosis unit for transmitting ultrasound signals to a target object and receiving ultrasound echo signals to acquire B-mode image signals and Doppler spectrum image signals; a processor for forming at least one B-mode image based on the B-mode image signals and forming a plurality of Doppler spectrum images for a plurality of sample volumes designated on the B-mode image based on the Doppler spectrum image signals; a user input unit for allowing a user to input selection information indicating locations and sizes of the plurality of sample volumes; and an image display unit for displaying at least one B-mode image and the plurality of Doppler spectrum images.

Ultrasound diagnostic system and method for displaying doppler spectrum images of multiple sample volumes

There is provided a method of processing an ultrasound spectrum image. According to such method, a spectrum image is formed based on ultrasound data and then the noise is removed from the spectrum image. The noise-removed spectrum image is matched with one or more spectrum models representing specific spectrum types. Then, whether or not the noise-removed spectrum image contains an aliasing is checked. If the noise-removed spectrum image contains the aliasing, then the aliasing is removed from the noise-removed spectrum image to provide a noise-removed spectrum image without the aliasing. Thereafter, contour tracing is performed on the noise-removed spectrum image without the aliasing to detect contour points. Further, peak tracing is performed on the noise-removed spectrum image without the aliasing to detect peaks.

Apparatus and method for processing an ultrasound spectrum image

The present invention relates a method and an apparatus for enhancing ultrasound image quality through a post-processing. A method for enhancing an image quality of a two-dimensional (2D) ultrasound image, comprises the steps of: a) decomposing the 2D ultrasound image into a plurality of images having a multi-resolution by N levels, wherein N is a positive integer; b) determining characteristics of each pixel in the decomposed image; c) performing an enhancement process for the decomposed image based on the pixel characteristics; d) performing 1-level composition for the decomposed image; and e) repeatedly performing steps b) to d) until a size of the composed image is identical to that of the 2D ultrasound image.

Method and apparatus for enhancing image quality of a two-dimensional ultrasound image

Disclosed is an apparatus and method for producing a three-dimensional (3D) moving image of a moving target object. The method comprises the steps of transmitting and receiving ultrasound signals to/from the moving target object; obtaining raw data; generating image frame data based on the obtained raw data; generating virtual image frame data based on the generated image frame data; and rendering a 3D moving image of the moving target object using the image and virtual image frame data. The apparatus comprises a probe, a raw 3D data obtaining unit, and an enhanced live 3D imaging unit for producing a 3D image of the moving target object.

Method and apparatus for producing a three-dimensional moving image

Apparatuses and methods for measuring a velocity component of tissue and blood flow within a human body may generate sample data by transmitting ultrasound signals to and sampling echo signals reflected from the human body, generate frequency distribution data containing the velocity component of tissue and blood flow, extract the frequency distribution data corresponding to the velocity component of tissue flow from the frequency distribution data, and display the extracted frequency distribution data. The apparatuses and methods may also input the frequency distribution data containing the velocity component of tissue and blood flow, eliminate a direct-current component of the frequency distribution data, extract the velocity component of blood flow from the frequency distribution data, determine a maximum value of the extracted velocity component of blood flow, decide a gain level, and multiply the frequency distribution data by the decided gain level.

Ultrasonic apparatus and method for measuring the velocities of human tissues using the doppler effects

An ultrasound diagnostic apparatus and method for measuring a blood flow velocity effectively select one of the positive frequency range and the negative frequency range to compute noise threshold, and determine a reliability of the computed noise threshold. A sample data generator samples a reflected signal of the ultrasound signal transmitted into a human body. A frequency distribution data generator processes the sample data, and generates a frequency distribution data including a number of frequency components. A first determiner selects one of a positive frequency range and a negative frequency range of the frequency distribution data. A second determiner determines a noise threshold by using a predetermined number of frequency components within the frequency range selected by the first determiner. A third determiner determines a peak frequency component having the highest frequency among the frequency components. Each frequency component has a power level higher than the noise threshold, and the peak frequency component corresponds to the peak blood frequency velocity.

Ultrasound diagnostic apparatus and method for measuring blood flow velocity using doppler effect

An ultrasound diagnostic system and a method for the same update a pulse repetition frequency(PRF) by sensing an aliasing of a sampled data. A sample data generator generates sample data by transmitting an ultrasound signal into a human body and sampling a reflected signal of the ultrasound signal. A frequency distribution data generator generates a frequency distribution data by processing the sample data. A blood flow velocity detector determines a blood flow velocity on the basis of the frequency distribution data. An aliasing detector detects whether or not an aliasing occurs in the frequency distribution data. The aliasing detector computes a peak index corresponding to the fastest blood flow velocity component among the frequency components comprising the frequency distribution data, selects a frequency range having the largest sum of power levels of the frequency components between a positive frequency range and a negative frequency range, compares the selected frequency range with the peak index, and determines whether an aliasing occurs or not.

Growing community of inventors

Seoul, South Korea

Cheol An Kim