Ultrasound diagnostic apparatus and method for measuring blood flow velocity using doppler effect
First Claim
1. An ultrasound diagnostic apparatus, comprising:
- means for generating sample data by transmitting an ultrasound signal into a human body and sampling a reflected signal of the ultrasound signal;
means for generating frequency distribution data by processing the sample data, wherein the frequency distribution data includes a number of frequency components, each of the frequency components having a corresponding power level;
means for determining a blood flow velocity on the basis of the frequency distribution data; and
means for detecting whether or not an aliasing occurs in the frequency distribution data, wherein the aliasing detecting means computes a peak index corresponding to the fastest blood flow velocity component among 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 of the frequency distribution data, compares the selected frequency range with the peak index, and determines whether an aliasing occurs or not.
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Accused Products
Abstract
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.
7 Citations
8 Claims
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1. An ultrasound diagnostic apparatus, comprising:
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means for generating sample data by transmitting an ultrasound signal into a human body and sampling a reflected signal of the ultrasound signal;
means for generating frequency distribution data by processing the sample data, wherein the frequency distribution data includes a number of frequency components, each of the frequency components having a corresponding power level;
means for determining a blood flow velocity on the basis of the frequency distribution data; and
means for detecting whether or not an aliasing occurs in the frequency distribution data, wherein the aliasing detecting means computes a peak index corresponding to the fastest blood flow velocity component among 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 of the frequency distribution data, compares the selected frequency range with the peak index, and determines whether an aliasing occurs or not. - View Dependent Claims (2, 3, 4)
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5. An ultrasound diagnostic method for measuring a blood flow velocity, comprising the steps of:
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(a) generating sample data by transmitting an ultrasound signal into a human body and sampling a reflected signal of the ultrasound signal;
(b) generating frequency distribution data by processing the sample data, wherein the frequency distribution data includes a number of frequency components, each of the frequency components having a corresponding power level;
(c) determining a blood flow velocity on the basis of the frequency distribution data; and
(d) determining whether or not an aliasing occurs in the frequency distribution data, wherein the step for determining the aliasing 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. - View Dependent Claims (6, 7, 8)
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Specification