JP4966578B2 - Elastic image generation method and ultrasonic diagnostic apparatus - Google Patents

Description

  The present invention relates to an elastic image generation method and an ultrasonic diagnostic apparatus, and more particularly, to an elastic image generation method and an ultrasonic diagnostic apparatus for imaging a tissue elasticity measured by applying pressure to a living tissue of a subject and using it for diagnosis. .

  The ultrasonic diagnostic apparatus applies an ultrasonic probe to the surface of the subject, transmits ultrasonic waves from the probe to the subject, receives ultrasonic reflected waves from the inside of the subject, and receives the received signal. Based on the reflected echo signal, the image is displayed as an image such as a tomogram of biological information of each part of the subject for diagnosis.

  On the other hand, as described in Patent Documents 1 and 2, etc., information on elasticity (hereinafter referred to as elasticity information) such as tissue strain and elastic modulus generated inside by applying a compression force to the subject is obtained. An elastic image is generated, and the elastic image is displayed to be used for diagnosis of a lesioned part of an examiner. For example, the examiner distinguishes lesions such as normal tissues, cancer cells, and tumors by observing elastic images measured while adjusting the compression force.

  By the way, it is known that a living tissue exhibits a non-linear elastic response to compression, and the hardness changes according to the degree of compression such as the amount of compression (hereinafter referred to as compression condition). For example, according to Non-Patent Document 1, an actual measurement value of a relationship between stress (kPa) and strain (%) when compressing a mammary gland region and a fat region of a mammary gland tissue as shown in FIG. 2 is reported. According to the figure, the stress-strain in the fat region is a linear relationship, but the stress-strain relationship in the mammary gland region is non-linear. Therefore, the modulus of elasticity (Young's modulus) given by the slope of the stress-strain curve in FIG. 2 is a constant value in the fat region as shown schematically in FIG. 3, but the mammary gland region depends on the applied strain. It can be seen that changes.

  On the other hand, in Non-Patent Document 2, after acquiring data on the relationship between strain and elastic modulus, a strain-elastic modulus curve is approximated by a function, and the nonlinearity is expressed from a curve that is best approximated by a least square method or the like. Attempts have been made to extract parameters and evaluate them as information representing the nonlinearity of the tissue.

  Thus, in distinguishing benign and malignant tissue using tissue hardness information, for example, under what compression conditions the elastic modulus was measured is very important information, such as compression amount It is conceivable that a diagnosis target measured under greatly different conditions is erroneously diagnosed as benign or malignant.

JP-A-5-317313 JP 2000-60853 A Krouskop T, et al: Elastic Moduli of Breast and Prostate Tissues Under Compression.Ultrasonic Imaging 20: 260-274, 1998. “Imaging Nonlinear Elastic Properties of Tissues by Ultrasound” Nitta et al., IEICE Transactions 2001/12 Vol.J84-A No.1

  However, the conventional techniques described in Patent Documents 1 and 2 do not consider the non-linearity of the biological tissue whose hardness changes according to the degree of compression. Therefore, the examiner is forced to obtain a plurality of elastic images under various compression conditions and make a diagnosis based on one or more elastic images that the examiner considers subjectively appropriate. As a result, according to the prior art, experience and skill are required to select an appropriate elastic image, and problems remain in the reliability and objectivity of diagnosis. In addition, it is necessary to repeatedly acquire an elastic image that seems to be appropriate while changing the compression condition. This causes a problem that the examiner is burdened and inspection efficiency is poor.

  An object of the present invention is to provide an elastic image that enables objective and definitive tissue differentiation without depending on the experience and skill level of an examiner in an ultrasonic diagnostic apparatus.

  In order to solve the above problems, the present invention applies ultrasonic pressure to the body tissue of the subject, transmits ultrasonic waves, and uses frame data obtained by measuring a reflected echo signal generated from the subject, Based on a pair of the frame data having different acquisition times, the measurement compression condition regarding the elasticity information of the living tissue at a plurality of measurement points and the degree of compression applied to each measurement point is obtained, and the obtained measurement compression conditions are preset. An elasticity image is generated based on the elasticity information when a reference compression condition is satisfied, and is displayed on a display screen.

  Thus, since the measurement compression condition applied to each measurement point satisfies the reference compression condition set in advance and uses the elastic image measured and generated, the subjectivity of the examiner can be abolished. Objective and definitive tissue differentiation can be made possible without depending on experience and skill level, and the efficiency of inspection can be improved. In addition, since it is not necessary to select an elastic image suitable for diagnosis, the burden on the examiner is reduced.

  The ultrasonic diagnostic apparatus of the present invention acquires frame data acquisition means for acquiring frame data of a reflected echo signal obtained by applying pressure to a living tissue of a subject and transmitting ultrasonic waves, and acquired by the frame data acquisition means Based on a pair of the frame data with different acquisition times, calculation means for obtaining elasticity information of biological tissue at a plurality of measurement points and measurement compression conditions indicating the degree of compression applied to each measurement point, and the calculation means An elasticity image generating means for generating an elasticity image based on the elasticity information, and evaluating whether or not the measurement compression condition obtained by the calculation means satisfies a preset reference compression condition, and satisfies the reference compression condition The image forming apparatus may include a compression condition evaluation unit that displays the elasticity image on a display unit.

  As the compression condition of the present invention, any one of distortion at the measurement point, displacement at the measurement point, stress at the measurement point, and pressure applied to the body surface of the subject can be employed. The strain and displacement amount referred to in the present invention refers to an integrated amount from zero to the measurement point of strain change or displacement of the living tissue due to compression, and is distinguished from the strain change or displacement at that time. Moreover, the reference compression condition sets a compression condition suitable for evaluating the elasticity of the living tissue.

  In addition, the elastic information can employ a non-linear parameter related to the non-linearity of the elastic modulus, viscoelastic modulus, and elastic modulus.

  In addition, the relationship between the measurement compression condition and the measured elasticity information can be displayed as a diagram (graph) on the display screen for the measurement points in the region of interest set in the image region corresponding to the frame data. . In this case, it is preferable to display a mark at the position of the reference compression condition in the diagram.

  In addition, the contour of the region of interest can be displayed on the elastic image, and the average value of the elasticity information of a plurality of measurement points in the region of interest can be displayed numerically in association with the region of interest. The elasticity image is generated by assigning the hue or luminance of each pixel according to each elasticity information.

  According to the present invention, it is possible to provide an elastic image that enables objective and definitive tissue differentiation without depending on the experience and skill level of the examiner.

  Hereinafter, an elastic image generation method and apparatus according to the present invention will be described based on embodiments. FIG. 1 is a block diagram of an ultrasonic diagnostic apparatus according to an embodiment that implements the elastic image generation method of the present invention. As shown in the figure, an ultrasonic probe 2 used in contact with a subject 1 is formed with a plurality of transducers that transmit and receive ultrasonic waves to and from the subject 1. . The probe 2 is driven by ultrasonic pulses supplied from the transmission circuit 3. The transmission / reception control circuit 4 controls the transmission timing of ultrasonic pulses for driving the plurality of transducers of the probe 2 to form an ultrasonic beam toward the focal point set in the subject 1. ing. The transmission / reception control circuit 4 is configured to electronically scan the ultrasonic beam in the direction in which the transducers of the probe 2 are arranged.

  On the other hand, the probe 2 receives a reflected echo signal generated from the subject 1 and outputs it to the receiving circuit 5. In accordance with the timing signal input from the transmission / reception control circuit 4, the reception circuit 5 takes in the reflected echo signal and performs reception processing such as amplification. The reflected echo signal processed by the receiving circuit 5 is amplified by adding together the phases of the reflected echo signals received by the plurality of transducers in the phasing and adding circuit 6. The reflected echo signal phased and added in the phase adjusting and adding circuit 6 is input to the signal processing unit 7 and subjected to signal processing such as gain correction, log compression, detection, contour enhancement, and filter processing.

  The reflected echo signal processed by the signal processing unit 7 is guided to the monochrome scan converter 8 and converted into two-dimensional tomographic image data (digital data) corresponding to the scanning surface of the ultrasonic beam. These signal processing unit 7 and monochrome scan converter 8 constitute a tomographic image (B-mode image) image reconstruction means. The tomographic image data output from the black-and-white scan converter 8 is supplied to the image display 10 via the switching adder 9 so that a B-mode image is displayed.

  On the other hand, the reflected echo signal output from the phasing addition circuit 6 is guided to the frame data acquisition unit 11. The frame data acquisition unit 11 acquires a plurality of frames of reflected echo signal groups corresponding to the scanning plane (tomographic plane) of the ultrasonic beam as frame data and stores it in a memory or the like. The displacement measuring unit 12 sequentially captures a plurality of pairs of frame data with different acquisition times stored in the frame data acquiring unit 11, and obtains displacement vectors of a plurality of measurement points on the tomographic plane based on the captured pair of frame data. The displacement information is output to the elasticity information calculation unit 13 as displacement frame data.

  The elasticity information calculation unit 13 according to the present embodiment calculates a strain calculation unit that calculates the strain change of the biological tissue at each measurement point based on the displacement frame data, and calculates the elastic modulus of the biological tissue at each measurement point based on the strain frame data. An elastic modulus calculation unit and a strain calculation unit that obtains strain, which is an example of a measurement compression condition, by integrating the strain change obtained by the strain calculation unit. The elastic modulus frame data obtained by the elastic information calculation unit 13 is output to the elastic information processing unit 14, and the strain is output to the compression condition evaluation unit 18.

  The elasticity information processing unit 14 performs various processes such as smoothing processing in the coordinate plane, contrast optimization processing, and smoothing processing in the time axis direction between frames on the frame data of each elasticity information input from the elasticity information calculation unit 13. The image is processed and sent to the color scan converter 15.

  The color scan converter 15 takes in the elastic modulus frame data processed by the elastic information processing unit 14 and generates a color elastic image by assigning a tone code to each pixel of the frame data in accordance with the color map of the set elastic modulus. It is supposed to be.

  The color elasticity image generated by the color scan converter 15 is displayed on the image display 10 via the switching addition unit 9. The switching adder 9 also receives a black and white tomographic image output from the black and white scan converter 8 and a color elastic image output from the color scan converter 15 and switches both images to display one of them. In addition, one of the two images is translucent, added and combined, displayed on the image display 10 and displayed, and the two images are displayed side by side. Further, the image data output from the switching addition unit 9 is stored in the cine memory 20 under the control of the device control interface unit 19. The image data stored in the cine memory 20 is displayed on the image display 10 under the control of the device control interface unit 19.

  The compression condition evaluation unit 18 according to the feature of the present embodiment takes in strain that is a measurement compression condition obtained by the elasticity information calculation unit 13, and whether the strain satisfies a reference compression condition input from the device control interface unit 19. It is to judge whether or not. As a result of the determination, when the captured distortion satisfies the reference compression condition, a command is sent to the switching addition unit 9 so that the color elastic image output from the color scan converter 15 is output and displayed on the image display 10. ing.

  The basic operation of this embodiment configured as described above will be described. First, the probe 2 applies pressure to the subject 1 to scan the subject 1 with an ultrasonic beam, and continuously receives reflected echo signals from the scanning surface. Based on the reflected echo signal output from the phasing addition circuit 6, a tomographic image is reconstructed by the signal processing unit 7 and the black and white scan converter 8 and displayed on the image display 10 via the switching adder 9. .

  On the other hand, the frame data acquisition unit 11 takes in the reflected echo signal, repeatedly acquires the frame data in synchronization with the frame rate, and stores it in the built-in frame memory in chronological order. Then, a plurality of pairs of frame data are successively selected and output to the displacement measuring unit 12 with a pair of frame data having different acquisition times as a unit. The displacement measuring unit 12 performs one-dimensional or two-dimensional correlation processing on the selected pair of frame data, measures the displacement of a plurality of measurement points on the scanning plane, and generates displacement frame data. As a method for detecting the displacement vector, for example, a block matching method or a gradient method described in JP-A-5-317313 is known. In the block matching method, an image is divided into blocks of N × N pixels, for example, a block closest to the target block in the current frame is searched from the previous frame, and based on this, the displacement of the measurement point is determined. Ask. Further, the displacement can be calculated by calculating the autocorrelation in the same region of the pair of RF signal frame data.

  The elasticity information calculation unit 13 takes in the displacement frame data, obtains a strain change at each measurement point, calculates an elastic modulus that is elasticity information based on the obtained strain change, and obtains the elasticity frame data as an elastic information processing unit 14. Output to. The calculation of the strain change is calculated by spatially differentiating the displacement as is well known. Further, the elastic modulus at each measurement point is calculated based on the obtained strain change. When calculating | requiring an elasticity modulus, the measured value of the pressure measured by the pressure measurement part 17 is taken in, and the stress in each measurement point is calculated based on this. The pressure gauge side portion 17 calculates the stress at the measurement point inside the subject 1 based on the pressure detected by the pressure sensor 16 provided between the ultrasonic transmission / reception surface of the probe 2 and the subject 1. To do. That is, the elastic modulus calculation unit of the elastic information calculation unit 13 calculates the elastic modulus E (for example, Young's modulus) of each measurement point on the scanning surface from the stress at each measurement point and the strain frame data obtained by the elastic information calculation unit 13. Is calculated and output to the elastic information processing unit 14.

  The elastic information processing unit 14 performs processing such as smoothing processing on the input elastic modulus and outputs the processed elastic modulus to the color scan converter 15. The color scan converter 15 generates a color elasticity image based on the elasticity information. The color image is colored according to the elastic modulus of the frame data for each pixel unit, for example, with gradation of color tone by 256 gradations. In place of the color scan converter 15, a black and white scan converter can be used. In this case, it is possible to discriminate benign or malignant, for example, by increasing the luminance in a region having a large elastic modulus and conversely decreasing the luminance in a small region.

  Below, the specific Example which implements the elastic image generation method of this invention using this embodiment is described. In addition, each Example is implemented by the elasticity information calculation part 13, the compression condition evaluation part 18, the apparatus control interface part 19, and the cine memory 20 etc. which are the characteristic parts of this embodiment.

  As an embodiment of the elastic image generation method of the present invention, a case will be described in which an elastic image is generated by applying pressure to a site including biological tissues 1 to 5 shown in FIG. In the present embodiment, the elasticity information calculation unit 13 obtains the elastic modulus of the measurement point at each part of the biological tissues 1 to 5 as elasticity frame data as elasticity information. FIG. 4 shows an image of one frame in order to associate the positional relationship between the elastic frame data and the elastic image.

  First, ROI1 and ROI2 are input and set as an area of interest (hereinafter referred to as ROI) by the examiner from the device control interface unit 19 to the compression condition evaluation unit 18. The compression condition evaluation unit 18 calculates elasticity data (numerical data of elastic modulus) at each measurement point distributed in the ROI1 and ROI2 from the elasticity information calculation unit 13 and distortion at each measurement point distributed in the ROI1 and ROI2. Import numerical data. In this embodiment, distortion is used as a compression condition for evaluating the degree of compression. The distortion (ε = ΣΔε) is an integral value of the distortion change from zero compression to the present time, and is distinguished from the distortion change (Δε) obtained for each pair of frame data.

  The compression condition evaluation unit 18 calculates, for example, an average value of strain ε (%) and an average value of elastic modulus E (kPa) for each of ROI1 and ROI2 based on the acquired strain and elastic modulus. The relationship is plotted on a graph as shown in FIG. Then, a graph image of a strain (compression condition) -elasticity information (elastic modulus) curve is constructed, stored in the compression condition evaluation unit 18, sent to the switching addition unit 9, and displayed on the image display 10. Thereby, the compression condition-elasticity information curve regarding the tissue in ROI1 and ROI2 is displayed on the image display 10 as a graph image.

  For example, when the reference compression condition is set to a strain of 4 to 6%, the range of the reference compression condition is displayed on the compression condition-elasticity information curve as shown in FIG. On the other hand, the compression condition evaluation unit 18 analyzes the elastic moduli E1 and E2 of ROI1 and ROI2 measured at the time when the reference compression condition is satisfied. Then, as a result of the elasticity diagnosis of the tissue corresponding to ROI1 and ROI2 shown in FIG. 4, numerical data of elastic moduli E1 and E2 are displayed in a graph image as shown in FIG. The elastic modulus when satisfied is determined as the elastic diagnosis result. In general, since the measurement compression conditions for ROI1 and ROI2 may be different, even if the reference compression conditions are the same, ROI1 and ROI2 do not satisfy the reference compression conditions at the same measurement time.

  Here, the reference compression condition is not limited to the method of setting as a range. For example, the elastic modulus value at 5% strain can be obtained by setting 5% strain as the standard compression condition and linearly interpolating from the elastic modulus values measured before and after the 5% strain. .

  Further, for example, in the process of measuring the elasticity information by repeatedly performing the compression operation, the elastic modulus in FIG. 5 is updated every time the reference compression condition is satisfied by the value of the elastic modulus measured by satisfying the reference compression condition. can do. In addition, it is possible to display the addition average value with the value of the elastic modulus up to the present measured while satisfying the reference compression condition.

  In this embodiment, the elastic modulus represented by the Young's modulus is shown as an example of the elasticity information. However, any index based on the elastic characteristics of the tissue such as viscoelastic modulus and nonlinearity can be used.

  The measurement compression condition is not limited to the strain in the ROI, but is derived based on the amount of displacement (including integration from zero displacement) measured by the displacement measurement unit 12 and the compression pressure measured by the pressure measurement unit 12. Information reflecting the state of compression, such as stress transmitted in the ROI, can be used.

  As described above, according to this embodiment, the measurement compression condition applied to the tissue corresponding to the ROI is appropriate for the evaluation only by setting the ROI to the image of the living tissue and performing the elastic information measurement operation. The elastic modulus, which is elastic information acquired when the reference compression condition is satisfied, is displayed as a numerical value. Therefore, even an examiner who has no experience or skill can obtain appropriate elasticity information of a living tissue related to ROI, and thus a diagnosis with reliability and objectivity can be performed. Further, it is not necessary to repeatedly acquire an elastic image that seems to be appropriate while changing the compression condition, thereby reducing the burden on the examiner and improving the examination efficiency. Further, according to the present embodiment, definitive diagnostic information can be efficiently acquired at the clinical site without impairing the real-time property of ultrasonic waves.

  In the first embodiment, the example in which the ROI elasticity information is output as numerical data to the image is shown. However, the elasticity image generated according to the present invention is not limited to this, and based on the elastic modulus in the ROI measured at the time when the reference compression condition is satisfied, as in Example 2 shown in FIG. It is possible to generate and display an elastic image obtained by gradationizing the image in the ROI according to the rate.

  For example, when the measurement compression condition in the ROI set in the first embodiment satisfies the reference compression condition, an image in which gradation is given to black and white luminance or hue according to the magnitude of the elastic modulus measured in the ROI Is generated and displayed. At this time, the numerical value data of the elastic modulus and the numerical value data of the strain may be displayed on the image.

  In the second embodiment, the example in which the elastic modulus is displayed in gradation for each ROI in units of pixels corresponding to each measurement point has been described. However, as shown in the third embodiment of FIG. 7, instead of the ROI of the second embodiment, a plurality of small local ROIs capable of constructing pixels in the entire measurement region can be arranged in a grid pattern. In this case, the elastic modulus of each local ROI when the measured compression condition satisfies the reference compression condition is determined independently for each local ROI, and the gradation is changed to monochrome luminance or hue for each local ROI. And an elastic image is formed and displayed over the entire observation region. The local ROI can be set as a region including one or a plurality of measurement points.

  Further, the gradation of the elasticity image of each local ROI assigned to satisfy the reference compression condition is updated and displayed every time the measurement compression condition of the elastic modulus repeatedly measured satisfies the reference compression condition. be able to. Further, if the gradation of the elastic image is updated and displayed based on the addition average value of the elastic modulus values obtained so far while satisfying the reference compression condition, the accuracy of the elastic image can be improved.

  Further, it can be recognized that the elasticity evaluation is impossible if the gradation reflecting the magnitude of the elastic modulus is not given to the ROI whose measurement compression condition does not satisfy the reference compression condition during measurement.

  In Examples 1 to 3, an example in which the elastic modulus is used as the elastic information has been described. In the fourth embodiment, an example will be described in which a nonlinear parameter representing the nonlinearity of the strain-elastic modulus curve shown in FIG. 3 is imaged as elasticity information. That is, the value of the nonlinear parameter at each measurement point when the measurement compression condition satisfies the reference compression condition is obtained, and an elastic image that is gradated based on the obtained nonlinear parameter is generated.

  As described above, Non-Patent Document 1 discloses that adipose tissue exhibits a linear response with a substantially constant elastic modulus up to a large strain range with respect to the nonlinearity of the elastic characteristics of the mammary gland tissue, whereas fiber tissue and invasive tumors. It has been reported that strain hardening in which the elastic modulus increases remarkably as strain increases is observed. In addition, infiltrative malignant tumors have a greater degree of strain hardening and non-linearity than fiber tissues. In general, living tissue exhibits a non-linear elastic response. For example, it is known that the relationship between strain and elastic modulus follows the curve shown in FIG. In Non-Patent Document 2, after acquiring the data of the relationship between the strain and the elastic modulus, the curve is approximated with a predetermined function, and the nonlinear parameter is extracted from the curve that is best approximated by the least square method or the like. Attempts to evaluate it as information representing the nonlinearity of the organization have been proposed.

  That is, according to Non-Patent Document 2, for the purpose of analyzing the nonlinearity of Young's modulus and strain ε (= ΣΔε) as E, the response curve of the tissue to compression is expressed by a linear function as in the following equation (1). Assumes that

E = E0 + α × ε (1)
Here, E0 is a constant value, α is a nonlinear parameter, and is the slope of the Young's modulus-strain curve. However, as shown in FIG. 8, as the strain becomes larger, the actual tissue nonlinearity becomes more prominent, and the nonlinear parameter α greatly depends on the compression condition. Therefore, the nonlinear parameter α that assumes that E is a linear function of ε as in equation (1) cannot be quantitative information unless an evaluation interval is defined, and cannot be adopted for definitive diagnosis.

  Therefore, in this embodiment, as in Embodiments 1 to 3, the reference compression condition is set, and the nonlinear parameter α is obtained based on the data of the elastic modulus and strain measured when the measurement compression condition satisfies the reference compression condition. The obtained nonlinear parameter α is provided to the examiner as numerical information or image information. Specifically, “elastic modulus” in Examples 1 to 3 may be replaced with “nonlinear parameter”.

  Furthermore, in order to obtain the nonlinear parameter α more faithfully, it is preferable to approximate it by a higher-order function represented by the following equation (2) as a curve that faithfully approximates the nonlinear response of the tissue in a wide range of measurement compression conditions. . γ is a natural number of 2 or more.

E = E0 + α × ε ^γ (2)
The nonlinear parameter α according to the equation (2) also becomes a larger value as the nonlinearity of the tissue is larger, and becomes closer to zero as it approaches the linearity. Furthermore, when generalized, it can be approximated by an exponential function of the following equation (3).

E = (E0-1) + exp (α × ε) (3)
Assuming the relational expressions shown in these equations (2) and (3), the nonlinear parameter α determined with high accuracy can be obtained even if the evaluation interval of the measurement compression condition is arbitrarily set. Can be evaluated.

  For example, conventionally, the value of α depends on the compression condition as shown in FIG. 8. Therefore, after accumulating the strain-elastic modulus relationship data, an appropriate evaluation interval is confirmed and analyzed for the measurement compression condition by offline processing. There is a need to. In this regard, according to the present embodiment, a deterministic nonlinear parameter α that does not depend on the measurement compression condition can be obtained. That is, the strain-elastic modulus relationship (ε (0), E (0)) measured at time t (0) and the past times t (−1), t (−2),. Applied strain-elastic modulus relationships (ε (−1), E (−1)), (ε (−2), Y (−2)),... As accumulated data of strain-elastic modulus relationships, Even if the nonlinear parameter α is evaluated in real time at the time t (0), numerical information and image information of the nonlinear parameter α can be obtained as objective information independent of the compression condition.

  Therefore, according to the fourth embodiment, as in the case described with reference to FIG. 7, it is possible to generate and display a real-time elasticity image using the nonlinear parameter α as elasticity information. As a result, for example, even in a malignant tissue that cannot be recognized by a B-mode image or an elastic modulus image, an abnormal tissue may be detected only by evaluating a nonlinear parameter. The tissue region is not overlooked, and diagnosis independent of the subjectivity of the examiner can be performed.

  In Examples 1-3, it does not consider about the structure | tissue which belongs to ROI moving by compression operation. In the fifth embodiment, the ROI is moved following the tissue that is moved by the compression operation, thereby improving the accuracy of evaluation of the elastic information. That is, when the position of the ROI with respect to the image is fixed, as shown in FIGS. 9A to 9C, the ROI enters the ROI (t0), ROI (t1), and ROI (t2) as the compression operation progresses. The coming tissue may change, and the accuracy of the measured value will deteriorate.

  Therefore, in the fifth embodiment, as shown in FIGS. 9 (a ′) to (c ′), according to the degree of compression, the destination of the tissue belonging to the ROI is tracked, and ROI (t0), ROI ( By moving the t1) and ROI (t2), it becomes possible to extract only information on the same tissue region under an arbitrary compression condition. As a result, it is possible to improve the evaluation accuracy. In addition, the block matching method or the gradient method which calculates | requires the displacement vector of the structure | tissue mentioned above can be applied to the process which follows the movement of a structure | tissue and moves ROI. Further, the local ROI and the measurement point can be followed according to the movement of the tissue.

  Here, the graphic image of the strain-elastic modulus curve generated by the first to fifth embodiments, the elastic image when the reference compression condition is satisfied, and the elastic image such as the nonlinear parameter α image are displayed on the image display 10. An example of a display form at the time of display will be described.

  If two screens can be displayed simultaneously by the functions of the switching addition unit 9 and the image display 10, for example, a B-mode image and an elastic image at the current time are displayed in real time on the right screen, and a measurement compression condition on the left screen- It is possible to display a graph of elasticity information, an elasticity image measured while satisfying the reference compression condition, or a nonlinear parameter image. In addition, an image that displays a fixed amount of elasticity information that does not depend on the compression condition can be displayed on any of the plurality of screens.

  In this manner, the combination of display images can be arbitrarily selected including conventional diagnostic images such as color Doppler. Moreover, the display method is not limited to the left and right side display on one screen, and may be displayed side by side. Furthermore, it is possible to adopt a format in which another image is displayed in a small window provided in one screen.

  In general, in the measurement of a real-time elasticity image, when a freeze command is given to the ultrasonic diagnostic apparatus, a predetermined number of frames of elasticity images acquired until the freeze are secured in the cine memory 20. The elastic image secured in the cine memory 20 can be continuously read out and displayed on the image display 10 as a moving image.

  Therefore, in the seventh embodiment, a plurality of elasticity images measured while performing the compression operation are stored in the cine memory 20, and the reference compression condition is set on the frame of the elasticity image obtained under the measurement compression condition that satisfies the reference compression condition. A mark indicating that the elastic image is filled is displayed. For example, a circle (◯) is displayed somewhere on the elastic image that satisfies the reference compression condition. Further, an upward arrow (↑) is displayed on the elastic image if the measured compression condition is small with respect to the reference compression condition, and a downward arrow (↓) is displayed if the measured compression condition is large. Further, the examiner may be notified by voice instead of the mark display or together with the mark display.

  According to the present embodiment, the examiner can adjust the measurement compression condition in the direction satisfying the reference compression condition by the guide information fed back in real time from the ultrasonic diagnostic apparatus, and thus acquires an appropriate elasticity image. It becomes possible. At the same time, it is possible to deterministically determine the numerical information related to the image and elasticity applied to the diagnosis without depending on the subjectivity of the examiner.

  In the seventh embodiment, an example in which the elasticity image generated in real time by the elasticity image generation method of the present invention is continuously displayed on the image display 10 is shown. However, the present invention is not limited to this, and the measurement compression condition is Only the elasticity image corresponding to the elasticity information when the reference compression condition is satisfied is generated and displayed on the image display 10. That is, an elastic image in which the measurement compression condition does not satisfy the reference compression condition is not displayed.

  In the seventh embodiment, the mark is displayed on the elastic image according to the magnitude of the measurement compression condition relative to the reference compression condition. However, the present invention is not limited to this, and the color elasticity increases as the measurement compression condition approaches the reference compression condition. It is possible to devise measures such as increasing the brightness of the image and increasing the visibility of the elastic image. For example, when an image in which a translucent color elastic image is superimposed on a B-mode image is generated, the blending ratio of the color elastic image can be increased as the measured compression condition approaches the reference compression condition.

  In addition, the elasticity image when the measurement compression condition satisfies the reference compression condition, the numerical information of the elastic modulus of the region of interest, and other information used as a judgment material for diagnosis are provided in the ultrasonic diagnostic apparatus as a result of the elasticity diagnosis. It can be automatically reflected in the diagnostic report function of each patient.

  Further, in each of the above-described embodiments, the example in which the elasticity information is acquired by compressing the target tissue has been described. However, for example, the elastic image generation method of the present invention may be an excitation video method (Y. Yamakoshi et al: It can also be applied to elasticity information obtained by techniques such as Ultrasonic Imaging of Internal Vibration of Soft Tissue under Forced Vibration, IEEE Trans UFFC 1990; 37; 45-53.).

It is a block block diagram of the ultrasonic diagnostic apparatus of one Embodiment which implements the elasticity image generation method of this invention. It is a diagram which shows the relationship between the distortion at the time of compressing the mammary gland part and fat part of a mammary gland tissue. It is a diagram which shows typically the relationship between the distortion at the time of compressing the mammary gland part of a mammary gland tissue, and a fat part, and an elastic modulus (Young's modulus). It is a figure explaining the method of applying pressure to a biological tissue and producing | generating an elastic image. 3 is a graph image of a strain-elastic modulus curve of an elastic image generated by the elastic image generation method of Example 1. 6 is an example of an elasticity image generated by the elasticity image generation method of the second embodiment. 10 is an example of an elasticity image generated by the elasticity image generation method according to the third embodiment. It is a diagram explaining that the nonlinear parameter produced | generated by the elastic image production | generation method of Example 4 largely depends on compression conditions. It is a figure explaining the Example which makes ROI move following the movement of the structure | tissue which belongs in ROI by compression operation.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Subject 2 Probe 3 Transmission circuit 4 Transmission / reception control circuit 5 Reception circuit 6 Phased addition circuit 7 Signal processing part 8 Black and white scan converter 9 Switching addition part 10 Image display 11 Frame data acquisition part 12 Displacement measurement part 13 Elastic information Calculation unit 15 Color scan converter 16 Pressure sensor 17 Pressure measurement unit 18 Compression condition evaluation unit 19 Device control interface unit 20 Cine memory

Claims (10)

Based on a pair of the frame data having different acquisition times, using frame data obtained by measuring the reflected echo signal generated from the subject by applying pressure to the biological tissue of the subject and transmitting ultrasonic waves obtains the elasticity information and the measurement pressure conditions regarding the degree of compressions applied to the region of interest of the living tissue in the measurement point of the set ROI in the image area, obtained the measurement pressure conditions are set in advance An elasticity image generation method for analyzing elasticity information of a region of interest measured at the time when a reference compression condition is satisfied, and generating an elasticity image to be displayed on a display screen based on the elasticity information . A frame data acquisition means for acquiring frame data of a reflected echo signal obtained by applying pressure to a living tissue of a subject and transmitting an ultrasonic wave, and a pair of the frame data obtained by the frame data acquisition means at different acquisition times based on a calculation means for obtaining a measurement pressure conditions indicating the degree of pressure between the elastic information applied to the region of interest Sako of the living tissue in the measurement point of the set ROI in the image area, by the calculating means An elasticity image generating means for generating an elasticity image based on the obtained elasticity information, and evaluating whether or not the measurement compression condition obtained by the computing means satisfies a preset reference compression condition, and the reference compression analyzes the elasticity information of the measurement region of interest at the time that satisfies the condition, pressure to be displayed on the display unit the elasticity image based on the elasticity information Ultrasonic diagnostic apparatus comprising and a condition evaluation unit. The ultrasonic diagnostic apparatus according to claim 2,
The compression condition evaluation unit is configured to display a graph image of a relationship between the measurement compression condition at the measurement point in the region of interest set in the image region corresponding to the frame data and the elasticity information corresponding to the measurement compression condition. An ultrasonic diagnostic apparatus generated and displayed on the display screen by displaying a mark at a position corresponding to the reference compression condition of the graph image. The ultrasonic diagnostic apparatus according to claim 3.
The ultrasonic diagnostic apparatus, wherein the compression condition evaluation unit displays an average value of the elasticity information of a plurality of measurement points in the region of interest as a numerical value on the graph image. The ultrasonic diagnostic apparatus according to claim 2,
The compression condition evaluation means displays the region of interest on the elasticity image, and displays the average value of the elasticity information of a plurality of measurement points in the region of interest as a numerical value in association with the region of interest. Ultrasonic diagnostic equipment. The ultrasonic diagnostic apparatus according to claim 2,
The measurement compression condition is any one of distortion of the measurement point, displacement amount of the measurement point, stress of the measurement point, and pressure applied to the body surface of the subject,
The ultrasonic diagnostic apparatus, wherein the elastic information is any one of an elastic modulus, a viscoelastic modulus, a non-linear parameter related to non-linearity of an elastic modulus, and hysteresis. The ultrasonic diagnostic apparatus according to claim 2,
The compression condition evaluation means evaluates whether or not the measurement compression condition obtained by the calculation means satisfies a preset reference compression condition, and displays a mark to that effect on the elastic image satisfying the reference compression condition with assigned the ultrasonic diagnostic apparatus wherein the measuring pressure conditions before Symbol elastic image is equal to or to be displayed on the display means a mark which indicates whether larger or smaller than the reference pressure condition. The ultrasonic diagnostic apparatus according to claim 2,
The compression condition evaluating unit, when the measured compression condition obtained by the calculation means evaluates whether a preset reference pressure condition is satisfied, and meet the criteria compression conditions, luminance before Symbol elastic image Or the ultrasonic diagnostic apparatus characterized by displaying on the said display means by making hue differ.   The ultrasonic diagnostic apparatus according to claim 2,
  The compression condition evaluation means gives a gradation to the monochrome luminance or the hue based on the elasticity information measured in the region of interest when the measurement compression condition in the region of interest satisfies the reference compression condition. An ultrasonic diagnostic apparatus characterized in that the elastic image is generated and displayed on the display means.   A frame data acquisition means for acquiring frame data of a reflected echo signal obtained by applying pressure to a living tissue of a subject and transmitting an ultrasonic wave, and a pair of the frame data obtained by the frame data acquisition means at different acquisition times And calculating means for obtaining a measurement compression condition indicating a degree of compression applied to the region of interest and elasticity information of the biological tissue at the measurement point in the region of interest set in the image region, and the calculation unit The elasticity image generation means for generating an elasticity image based on the elasticity information, and whether or not the measurement compression condition obtained by the calculation means satisfies a preset reference compression condition, is repeatedly measured Each time the measured compression condition of elasticity information satisfies the reference compression condition, the compression condition for updating the elasticity image and displaying it on the display means Ultrasonic diagnostic apparatus comprising and a value unit.

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