G01S7/52071

SYSTEM AND METHOD FOR ULTRASOUND ELASTOGRAPHY AND METHOD FOR DYNAMICALLY PROCESSING FRAMES IN REAL TIME
20230039463 · 2023-02-09 ·

Disclosed are a system and a method for ultrasound elastography and a method for dynamically processing frames in real time. The system includes an elasticity processing apparatus having an elasticity information detecting module for extracting elasticity information representing the elasticity of a target to be detected; a quality parameter calculating module for calculating at least a quality parameter reflecting quality of each elasticity image corresponding to the elasticity information; and a frame processing module for determining whether to output corresponding elasticity image based on the quality parameter of each elasticity image. When calculating a strain of consecutive images, the parameter reflecting the quality of each image is also computed, through which, the current elasticity image is determined whether to be displayed, thus avoiding the situation that colors of acquired successive elasticity images may vary greatly due to large difference existing in stress.

Analysis apparatus

An analysis apparatus includes processing circuitry configured to obtain quantitative values of a plurality of types of tissue properties relating to a region of interest of a subject, and generate a diagram of the region of interest based on the quantitative values.

SYSTEM FOR 3D MULTI-PARAMETRIC ULTRASOUND IMAGING

Systems and methods are disclosed that facilitate obtaining two dimensional (2D) ultrasound images, using two or more ultrasound imaging modes or modalities, to generate 2D multi-parametric ultrasound (mpUS) images and/or to generate a three-dimensional (3D) mpUS image. The different ultrasound imaging modes acquire images in a common frame of reference during a single procedure to facilitate their registration. The mpUS images (i.e., 2D or 3D) may be used for enhanced and/or automated detection of one or more suspicious regions. After identifying one or more suspicious regions, the mpUS images may be utilized with a real-time image to guide biopsy or therapy the region(s). All these processes may be performed in a single medical procedure.

3D MULTI-PARAMETRIC ULTRASOUND IMAGING

Systems and methods are disclosed that facilitate obtaining two dimensional (2D) ultrasound images, using two or more ultrasound imaging modes or modalities, to generate 2D multi-parametric ultrasound (mpUS) images and/or to generate a three-dimensional (3D) mpUS image. The different ultrasound imaging modes acquire images in a common frame of reference during a single procedure to facilitate their registration. The mpUS images (i.e., 2D or 3D) may be used for enhanced and/or automated detection of one or more suspicious regions. After identifying one or more suspicious regions, the mpUS images may be utilized with a real-time image to guide biopsy or therapy the region(s). All these processes may be performed in a single medical procedure.

System and method for adaptively configuring dynamic range for ultrasound image display

An ultrasound imaging system according to the present disclosure may include an ultrasound probe, a display unit, and a processor configured to receive source image data having a first dynamic range, wherein the source image data comprises log compressed echo intensity values based on the ultrasound echoes detected by the ultrasound probe, generate a histogram of at least a portion of source image data, generate a cumulative density function for the histogram, receive an indication of at least two points on the cumulative density function (CDF), and cause the display unit to display an ultrasound image representative of the source image data displayed in accordance with the second dynamic range.

Ultrasound analysis apparatus and method for tissue elasticity and viscosity based on the hormonic signals

According to one embodiment, an analysis apparatus includes processing circuitry. The processing circuitry configured to generate a harmonic signal and a fundamental wave signal based on a reception signal that is collected by an ultrasound probe, the harmonic signal corresponding to a harmonic component of a reflected wave of a ultrasound generated in the subject, the fundamental wave signal corresponding to a fundamental wave component of the reflected wave, calculate a first index value indicating tissue properties of the subject based on the harmonic signal, and calculate a second index value indicating the tissue properties based on the fundamental wave signal, and display an analysis result based on the first index value and the second index value.

Shear wave amplitude reconstruction for tissue elasticity monitoring and display

The present disclosure describes ultrasound systems and methods configured to determine the elasticity of a target tissue. Systems can include an ultrasound transducer configured to acquire echoes responsive to ultrasound pulses transmitted toward the tissue, which may include a region of increased stiffness. Systems can also include a beamformer configured to control the transducer to transmit a push pulse into the tissue, thereby generating a shear wave in the region of increased stiffness. The beamformer can be configured to control the transducer to emit tracking pulses adjacent to the push pulse. Systems can further include a processor configured to determine a displacement amplitude of the shear wave and based on the amplitude, generate a qualitative tissue elasticity map of the tissue. The processor can combine the qualitative map with a quantitative map of the same tissue, and based on the combination, determine a boundary of the region of increased stiffness.

VISUALIZATION OF 4D ULTRASOUND MAPS
20220409167 · 2022-12-29 ·

A medical system includes an ultrasound probe for insertion into an organ of a body and a processor. The ultrasound probe includes (i) a two-dimensional (2D) ultrasound transducer array, and (ii) a sensor configured to output signals indicative of a position, direction and orientation of the 2D ultrasound transducer array inside the organ. The processor is configured to (a) using the signals output by the sensor, register multiple ultrasound images of a tissue region, acquired over a given time duration by the 2D ultrasound transducer array, with one another, and (b) generate a map of the tissue region indicative of respective amounts of motion of tissue locations in the tissue region.

Method for controlling image appearance features in ultrasound system, image appearance feature control user interface operating according to the said method and ultrasound system comprising said user interface

Controlling an image appearance in ultrasound system comprises: providing a set of image appearance feature control parameters, each of which relates to an image appearance feature according to a pre-defined relation between a value scale of the said image appearance feature control parameter and an image appearance related to a certain condition of the corresponding image appearance feature; generating a function between the value of each image feature control parameter and the value of the standard workflow setting parameters of a combination of standard workflow setting parameters influencing the said image appearance feature; and varying automatically the value of the one or more of the standard workflow setting parameters of the combination of standard workflow setting parameters influencing an image appearance feature as a function of a variation of the value of the corresponding image appearance feature control parameters for obtaining the requested image appearance feature variation.

Secondary flow detection device, secondary flow detection program, and ultrasonic signal processing device

To uniformly extract a secondary flow based on quantitative calculation even in a complicated blood flow in a heart chamber or a blood vessel. There is provided a secondary flow detection device, including: a degree-of-swirl map calculation unit that obtains a velocity vector map calculated based on an echo signal reflected by an inspection target, calculates, as a value indicating a degree of a spatial change of a velocity vector, a degree of swirl based on the velocity vector map, and calculates, as a degree-of-swirl map, a spatial distribution of an iso-degree-of-swirl line obtained by connecting the degree of swirl of an equal value; a secondary flow candidate extraction unit that extracts, as a secondary flow candidate, an iso-degree-of-swirl line satisfying a predetermined condition among the iso-degree-of-swirl line indicated in the degree-of-swirl map; a feature amount calculation unit that calculates a feature amount of the velocity vector inside the secondary flow candidate; a secondary flow determination unit that determines whether the secondary flow candidate is a desired secondary flow based on the feature amount; and a secondary flow extraction unit that extracts and outputs the secondary flow determined by the secondary flow determination unit.