WO2016153098A1 - Procédé et dispositif d'amélioration de la qualité d'estimation d'un signal - Google Patents

Procédé et dispositif d'amélioration de la qualité d'estimation d'un signal Download PDF

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WO2016153098A1
WO2016153098A1 PCT/KR2015/003011 KR2015003011W WO2016153098A1 WO 2016153098 A1 WO2016153098 A1 WO 2016153098A1 KR 2015003011 W KR2015003011 W KR 2015003011W WO 2016153098 A1 WO2016153098 A1 WO 2016153098A1
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prediction
signal
value
past
envelope
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PCT/KR2015/003011
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English (en)
Korean (ko)
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이지하
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알피니언메디칼시스템 주식회사
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Priority to PCT/KR2015/003011 priority Critical patent/WO2016153098A1/fr
Publication of WO2016153098A1 publication Critical patent/WO2016153098A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves

Definitions

  • This embodiment relates to a method and apparatus for improving the prediction quality of a signal.
  • an ultrasound system transmits ultrasound waves to an object using a probe, receives a reflection signal reflected from the object, and converts the received reflection signal into an electrical signal to generate an ultrasound image.
  • Ultrasonic systems have non-invasive and non-destructive properties and are widely used in the medical field for obtaining information inside a living body. Ultrasound systems are important in the medical field because they can confirm images of tissues inside a living body in real time without the need for a surgical operation to directly cut and observe a living body.
  • fast estimation is performed on an input signal to remove poles, and slow estimation is performed to remove noise to reduce the predicted quality of the signal. It is an object of the present invention to provide a method and apparatus for improving.
  • the input unit for receiving an input signal (Input Signal); A first envelope predictor configured to perform fast estimation on the input signal to generate a first prediction signal; A second envelope predictor for performing a slow prediction on the first prediction signal to generate a second prediction signal; A normalizer for generating a normalized signal obtained by normalizing the second prediction signal; And a combiner configured to generate an output signal having an improved prediction quality by multiplying the first prediction signal by the normalization signal.
  • An input signal Input Signal
  • a first envelope predictor configured to perform fast estimation on the input signal to generate a first prediction signal
  • a second envelope predictor for performing a slow prediction on the first prediction signal to generate a second prediction signal
  • a normalizer for generating a normalized signal obtained by normalizing the second prediction signal
  • a combiner configured to generate an output signal having an improved prediction quality by multiplying the first prediction signal by the normalization signal.
  • the input unit for receiving an input signal; A first envelope predictor for performing a fast prediction on the input signal to generate a first prediction signal; A second envelope predictor for performing a slow prediction on the input signal to generate a second prediction signal; A normalizer for generating a normalized signal obtained by normalizing the second prediction signal; And a combiner configured to generate an output signal having improved prediction quality by multiplying the first prediction signal by the normalization signal.
  • a method of performing a signal processing by the ultrasonic medical device comprising: an input process for receiving an input signal; A first envelope prediction process of performing a fast prediction on the input signal to generate a first prediction signal; A second envelope prediction process of performing a slow prediction on the first prediction signal to generate a second prediction signal; A normalization process of generating a normalized signal obtained by normalizing the second prediction signal; And a combining process of multiplying the first prediction signal by the normalization signal to generate an output signal having an improved prediction quality.
  • the present embodiment it is possible to provide an imaging image in which a pole is removed by performing fast prediction on an input signal.
  • the prediction quality of the signal is improved.
  • FIG. 1 is a block diagram schematically showing an ultrasound medical apparatus according to the present embodiment.
  • FIG. 2 is a flowchart illustrating a method of improving the prediction quality of a signal according to the present embodiment.
  • 3A to 3C are diagrams for explaining fast prediction of the first envelope predictor according to the present embodiment.
  • FIG. 4 is a flowchart illustrating a fast prediction method according to the present embodiment.
  • 5A to 5C are diagrams for explaining low speed prediction of the second envelope predictor according to the present embodiment.
  • FIG. 6 is a flowchart illustrating a low speed prediction method according to the present embodiment.
  • FIG. 7 is a diagram for explaining normalization according to the present embodiment.
  • FIG. 1 is a block diagram schematically showing an ultrasound medical apparatus according to the present embodiment.
  • the ultrasound medical apparatus 100 includes a transducer 110, a transceiver 120, an analog-to-digital converter (ADC) 130, a beamformer 140, and a signal processor 150. ) And a scan conversion unit 160.
  • the components included in the ultrasound medical apparatus 100 are not necessarily limited thereto.
  • the transducer 110 converts an electrical analog signal into ultrasonic waves and transmits the ultrasonic wave to an object, and converts a signal reflected from the object (hereinafter, referred to as a reflection signal) into an electrical analog signal.
  • the transducer 110 may be implemented as an array transducer, and transmits an ultrasonic wave to an object and receives a reflected signal reflected from the object by using the transducer element in the array transducer.
  • the transducer 110 transmits the reflection signal input from the object to the transceiver 120.
  • the transmitter / receiver 120 applies a voltage pulse to the transducer 110 so that ultrasonic waves are transmitted from each transducer element in the transducer 110.
  • the transceiver 120 performs a function of switching transmission and reception so that the transducer 110 alternately performs transmission or reception.
  • the analog-to-digital converter 130 converts the analog reflection signal received from the transceiver 120 into a digital signal and transmits the converted signal to the beamformer 140.
  • the beamformer 140 converts the electrical signal suitable for the transducer 110 into an electrical signal suitable for each transducer element.
  • the beamformer 140 delays or sums the electric signals converted by each transducer element to generate data (frame data or scanline data) of the corresponding transducer element.
  • the beamformer 140 performs transmit beamforming, receive beamforming, and beamforming.
  • the signal processor 150 converts the reflected signal of the received scan line focused by the beamformer 140 into baseband signals and detects an envelope by using a quadrature demodulator to scan one envelope. Get data for a line.
  • the signal processor 150 processes the data generated by the beamformer 140 into a digital signal.
  • the signal processor 150 receives data (input signal) from the beamformer 140.
  • the signal processor 150 performs fast estimation on the input signal to generate the first prediction signal.
  • the signal processor 150 generates a second prediction signal by performing slow estimation on the first prediction signal (or an input signal).
  • the signal processor 150 generates a normalized signal obtained by normalizing the second prediction signal.
  • the signal processor 150 multiplies the first prediction signal by a normalization signal to generate an output signal having an improved prediction quality. Subsequently, the signal processor 150 transmits an output signal having improved prediction quality to the scan converter 160 so that the scan converter 160 outputs an image having improved quality based on the output signal.
  • the scan converter 160 records the data obtained by the signal processor 150 in a memory, matches the scanning direction of the data with the pixel direction of the display unit (eg, the monitor), and maps the corresponding data to the pixel position of the display unit. .
  • the scan converter 160 converts the image data into a data format used in a display unit of a predetermined scan line display format.
  • the ultrasound medical apparatus 100 may further include a user input unit.
  • the user input unit receives an instruction by a user's manipulation or input.
  • the user command may be a setting command for controlling the ultrasound medical apparatus 100.
  • FIG. 2 is a flowchart illustrating a method of improving the prediction quality of a signal according to the present embodiment.
  • the signal processor 150 receives data (input signal) from the beamformer 140.
  • the signal processor 150 generates a first prediction signal by performing fast prediction based on the input signal (S210).
  • the fast prediction refers to a process of generating a fast prediction value x k ⁇ by reflecting a fast prediction function f preset in the input signal.
  • Fast Prediction function (f) is the past high-speed prediction value (x k-1 ⁇ ) to the past measured values (x k - 1) and past high-speed prediction value (x k-1 ⁇ ) threshold value a difference value ( ⁇ x k-1) of This is a function that strongly reflects the above.
  • the signal processor 150 generates a first prediction signal from which a pole is removed from an input signal.
  • the signal processor 150 generates a second prediction signal by performing low speed prediction based on the first prediction signal (or an input signal) (S220).
  • the low speed prediction refers to a process of generating a low speed prediction value x k ⁇ by reflecting a low speed prediction function f preset in the first prediction signal or the input signal.
  • Low speed prediction function (f) is a past low-speed prediction value (x k-1 ⁇ ) to the past measured values (x k-1) and the threshold value a difference value ( ⁇ x k-1) past the low speed prediction value (x k-1 ⁇ ) Means a function that reflects weakly.
  • the signal processor 150 generates a second prediction signal from which noise is removed from the first prediction signal (or the input signal).
  • the signal processor 150 generates a normalized signal obtained by normalizing the second prediction signal (S230).
  • the signal processor 150 may generate a normalization signal obtained by normalizing the second prediction signal on which the low speed prediction is performed on the input signal.
  • the signal processor 150 checks an offset value with respect to the second prediction signal.
  • the signal processor 150 performs normalization by reflecting the offset value to the second prediction signal.
  • the signal processor 150 multiplies the first prediction signal by a normalization signal to generate an output signal having improved prediction quality (S240).
  • the signal processor 150 may remove the polls and the noise from the input signal, thereby generating an output signal having improved prediction quality.
  • the signal processor 150 may generate an output signal having improved prediction quality by multiplying the first prediction signal by a normalization signal obtained by normalizing the second prediction signal on which the first prediction signal (or the input signal) has been subjected to low speed prediction. do.
  • the signal processor 150 transmits the output signal having the improved prediction quality to the scan converter 160 so that the scan converter 160 outputs an image of the improved quality based on the output signal. .
  • steps S210 to S240 are sequentially executed, but the present disclosure is not limited thereto. In other words, since the steps described in FIG. 2 may be applied by changing or executing one or more steps in parallel, FIG. 2 is not limited to the time series order. As described above, the method for improving the prediction quality of a signal according to the present embodiment described in FIG. 2 may be implemented in a program and recorded in a computer-readable recording medium.
  • 3A to 3C are diagrams for explaining fast prediction of the first envelope predictor according to the present embodiment.
  • the signal processor 150 includes a first envelope predictor 152.
  • the first envelope predictor 152 performs fast prediction on the input signal received from the beamformer 140 to generate a first prediction signal.
  • the first envelope predictor 152 reflects (fast predicts) the fast predictive function f preset in the input signal to generate a current fast predictive value (x k ': k is an integer of 1 or more).
  • the first envelope predictor 152 removes a pole as shown in FIG. 3A from an input signal as shown in FIG. 3A based on the current fast predicted value x k ′. Generate the first predicted signal.
  • the input signal to which the actual pole is applied is as shown in (a) of FIG. 3B, but the first prediction signal from which the pole is removed by the first envelope predictor 152 is as shown in (b) of FIG. 3B.
  • the first envelope predictor 152 determines a difference value ( ⁇ x k ⁇ ) between a past actual measurement value x k ⁇ 1 and a past fast prediction value x k ⁇ 1 ⁇ in the past high speed prediction value x k ⁇ 1 ⁇ of the input signal.
  • the current fast predicted value x k ⁇ is generated by adding a value f ( ⁇ x k ⁇ 1 ) reflecting 1 ) by the fast predicted function f.
  • the first envelope predictor 152 generates the current fast predicted value (x k ⁇ ) using Equation (1).
  • the initial envelope predictor 152 matches an end point (initial point) with an initial setting for an initial signal x 1 of an input signal, and then firstly differs from an initial fast predicted value x 1 ′. Generates the value ⁇ x 1 .
  • FIG. 4 is a flowchart illustrating a fast prediction method according to the present embodiment.
  • first envelope estimator 152 is a high speed a difference value ( ⁇ x 1) of the past measured values (x 1) and past high-speed prediction value (x 1 ⁇ ) to exchange high-speed prediction value (x 1 ⁇ ) of the input signal
  • a value f ( ⁇ x 1 ) reflected by the prediction function f is added to generate a current fast predicted value x 2 ⁇ .
  • the first envelope predictor 152 in step S420. Generates a current fast prediction value (x 2 ⁇ ) according to the preset fast prediction function f.
  • the first envelope predictor 152 generates a difference value ⁇ x 2 between the current input signal x 2 and the fast predicted value x 2 ′ among the input signals (S430).
  • the first produces the envelope estimator 152 is a high speed predictive value (x 2 ⁇ ) a high-speed prediction value (x 3 ⁇ ) to reflect as high-speed prediction function a difference value ( ⁇ x 2) standard (High Speed Prediction) (S440).
  • first envelope estimator 152 is a high speed a difference value ( ⁇ x 2) of the past measured values (x 2) and past a high speed predictive value (x 2 ⁇ ) to exchange high-speed prediction value (x 2 ⁇ ) of the input signal
  • a value f ( ⁇ x 2 ) reflected by the prediction function f is added to generate a current fast predicted value x 3 ⁇ .
  • First envelope estimator 152 generates a difference value ( ⁇ x 3) of the current input signal (x 3) and high-speed prediction value (x3 ⁇ ) of the input signal (S450).
  • the first envelope predictor 152 generates a predicted value x 4 ⁇ reflecting the difference value ⁇ x 3 as a fast predictive function based on the fast predicted value x 3 ′ (high speed prediction) (S460).
  • step S460 high speed the first envelope estimator 152 is input signal past a high speed predictive value (x 3 ⁇ ) past the actually measured value of the (x 3) with a difference value ( ⁇ x 3) past a high speed predictive value (x 3 ⁇ ) of A value f ( ⁇ x 3 ) reflected by the prediction function f is added to generate a current fast predicted value x 4 ⁇ .
  • the first envelope predictor 152 generates a fast predicted value (x k ⁇ ) up to the k th which is the current input signal among the input signals (S470).
  • first envelope estimator 152 is past actual measurement values in the past, a high speed of the input signal the predicted value (x k-1 ⁇ ) - difference values (x k 1) and past high-speed prediction value (x k-1 ⁇ ) ( adding the ⁇ x k) high-speed prediction function (f) value (f ( ⁇ x k -1 reflection by) a) to generate a high-speed current predicted value (x k ⁇ ).
  • the first envelope predictor 152 generates the current fast predicted value (x 4 ⁇ ) using Equation (1).
  • First envelope estimator 152 generates a first prediction signal (high-speed prediction envelope) made of x 1 to x k ⁇ high-speed prediction value (S480).
  • steps S410 through S480 are described as being sequentially executed, but are not necessarily limited thereto. In other words, since the steps described in FIG. 4 may be applied by changing the steps or executing one or more steps in parallel, FIG. 4 is not limited to the time series order.
  • 5A to 5C are diagrams for explaining low speed prediction of the second envelope predictor according to the present embodiment.
  • the signal processor 150 includes a second envelope predictor 154, a normalizer 156, and a combiner 158.
  • the second envelope predictor 154 performs a slow prediction on the first prediction signal (or an input signal) to generate a second prediction signal.
  • the second envelope predictor 154 reflects the low speed prediction function f preset to the first prediction signal (slow speed prediction) to generate a current low speed prediction value (x k ⁇ : k is an integer of 1 or more).
  • the second envelope predictor 154 generates a second prediction signal from which noise is removed from the first prediction signal based on the current low speed prediction value x k ′.
  • the second envelope predictor 154 generates a second prediction signal as shown in FIG. 5A (b) from an input signal (or first prediction signal) as shown in FIG. 5A (a).
  • the normalizer 156 normalizes the second prediction signal to generate a normalized signal as shown in FIG. 5A (c).
  • the combiner 158 multiplies the first prediction signal by a normalization signal to generate an output signal having improved prediction quality as shown in FIG. 5A (d).
  • the input signal (or first prediction signal) before the actual noise is removed is the same as (a) of FIG. 5B, but the input signal (or the first prediction signal) from which the noise is removed by the second envelope predictor 154 is shown in FIG. 5B. Is the same as (b).
  • Second envelope estimator 154 is the previous measured values in the past, low-speed prediction value (x k-1 ⁇ ) of the first prediction signal (x k - 1) and the difference value ( ⁇ x past low speed prediction value (x k-1 ⁇ ) k-1 ) is added to reflect the value f ( ⁇ x k ⁇ 1 ) reflecting the low speed prediction function f to generate a current low speed prediction value (x k ⁇ ).
  • the second envelope predictor 154 generates the current low speed prediction value x k ⁇ using Equation 2.
  • the second envelope predictor 154 initially matches the end point (first point) with an initial setting for the first signal x 1 of the input signal, and then firstly differs from the first low speed predicted value x 1 ′. Generates the value ⁇ x 1 .
  • the normalizer 156 generates a normalized signal obtained by normalizing the second prediction signal.
  • the normalization unit 156 checks the offset value with respect to the second prediction signal and generates a normalization signal that has been normalized by reflecting the offset value in the second prediction signal.
  • the combiner 158 multiplies the first prediction signal (or input signal) by a normalization signal to generate an output signal having improved prediction quality.
  • FIG. 6 is a flowchart illustrating a low speed prediction method according to the present embodiment.
  • the difference value of the second envelope estimator 154 is the input signal (or the first prediction signal) past the low speed prediction value (x 1 ⁇ ) past measured values (x 1) and past the low speed prediction value (x 1 ⁇ ) to the A value f ( ⁇ x 1 ) reflecting ( ⁇ x 1 ) by the low speed prediction function f is added to generate a current low speed prediction value (x 2 ⁇ ).
  • step S620 Generates the current low speed prediction value (x 2 ⁇ ) according to the preset low speed prediction function f.
  • the second envelope predictor 154 generates a difference value ⁇ x 2 between the current input signal x 2 and the low speed predicted value x 2 ′ among the input signals (or the first predicted signal) (S630). Second envelope estimator 154 generates a low speed prediction value (x 2 ⁇ ) to the reflection by the low speed prediction function a difference value ( ⁇ x 2) Based on (the low speed prediction), a low-speed prediction value (x 3 ⁇ ) (S640) .
  • step S640 the second low-speed envelope estimator 154 is input past measured values in the past, low-speed prediction value (x 2 ⁇ ) of the signal (x 2) and the difference value ( ⁇ x 2) past the low speed prediction value (x 2 ⁇ ) A value f ( ⁇ x 2 ) reflected by the prediction function f is added to generate a current low speed predicted value x 3 ⁇ .
  • Second envelope estimator (154) generates the input signal (or the first prediction signal) are the input signal (x 3) with a difference value ( ⁇ x 3) predicted value of low-speed (x3 ⁇ ) of (S650).
  • the second envelope predictor 154 generates a predicted value x 4 ⁇ reflecting the difference value ⁇ x 3 by the low speed predictive function based on the low speed predicted value x 3 ′ (low speed prediction) (S660).
  • step S660 the second low-speed envelope estimator 154 is past actual measurement values in the past, low-speed prediction value (x 3 ⁇ ) of the input signal (x 3) with a difference value ( ⁇ x 3) past the low speed prediction value (x 3 ⁇ ) A value f ( ⁇ x 3 ) reflected by the prediction function f is added to generate a current low speed predicted value x 4 ⁇ .
  • the second envelope predictor 154 generates the low speed predicted value x k ′ up to the k th which is the current input signal among the input signals (or the first predicted signal) (S670).
  • the second envelope estimator 154 is past the low speed prediction value (x k-1 ⁇ ) past the actually measured value of the input signal difference value (x k 1) and past the low speed prediction value (x k-1 ⁇ ) ( A value f ( ⁇ x k ⁇ 1 ) reflecting ⁇ x k by the low speed prediction function f is added to generate a current low speed prediction value x k ′.
  • the second envelope predictor 154 generates the current low speed predicted value (x 4 ⁇ ) using Equation (2).
  • Second envelope estimator (154) generates the second prediction signal (low speed prediction envelope) made of x 1 to x k ⁇ predicted value of the low speed (S680).
  • steps S610 to S680 are described as being sequentially executed, but are not necessarily limited thereto. In other words, since the steps described in FIG. 6 may be applied by changing or executing one or more steps in parallel, FIG. 6 is not limited to the time series order.
  • FIG. 7 is a diagram for explaining normalization according to the present embodiment.
  • the normalizer 156 confirms an offset value with respect to the second prediction signal.
  • the normalization unit 156 generates a normalization signal that is normalized by reflecting the offset value in the second prediction signal.
  • transducer 120 transceiver
  • first envelope predictor 154 second envelope predictor

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Abstract

L'invention concerne un procédé et un dispositif destinés à améliorer la qualité d'estimation d'un signal. L'invention concerne un procédé et un dispositif destinés à améliorer la qualité d'estimation d'un signal au moyen, pour un signal d'entrée, du retrait d'un pôle par estimation rapide et par élimination du bruit au moyen d'une estimation lente.
PCT/KR2015/003011 2015-03-26 2015-03-26 Procédé et dispositif d'amélioration de la qualité d'estimation d'un signal WO2016153098A1 (fr)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001149370A (ja) * 1999-11-25 2001-06-05 Toshiba Corp 超音波ドプラ診断装置
US6390983B1 (en) * 1999-07-09 2002-05-21 Ge Medical Systems Global Technology Company, Llc Method and apparatus for automatic muting of Doppler noise induced by ultrasound probe motion
KR20090077102A (ko) * 2008-01-10 2009-07-15 주식회사 메디슨 도플러 모드 영상을 형성하는 초음파 시스템 및 방법
JP2011239988A (ja) * 2010-05-19 2011-12-01 Toshiba Corp 超音波診断装置
JP2012055692A (ja) * 2010-09-13 2012-03-22 General Electric Co <Ge> 電磁気ノイズ除去のための超音波法及び探触子

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6390983B1 (en) * 1999-07-09 2002-05-21 Ge Medical Systems Global Technology Company, Llc Method and apparatus for automatic muting of Doppler noise induced by ultrasound probe motion
JP2001149370A (ja) * 1999-11-25 2001-06-05 Toshiba Corp 超音波ドプラ診断装置
KR20090077102A (ko) * 2008-01-10 2009-07-15 주식회사 메디슨 도플러 모드 영상을 형성하는 초음파 시스템 및 방법
JP2011239988A (ja) * 2010-05-19 2011-12-01 Toshiba Corp 超音波診断装置
JP2012055692A (ja) * 2010-09-13 2012-03-22 General Electric Co <Ge> 電磁気ノイズ除去のための超音波法及び探触子

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