WO2005048847A1 - 超音波診断装置 - Google Patents
超音波診断装置 Download PDFInfo
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- WO2005048847A1 WO2005048847A1 PCT/JP2004/016747 JP2004016747W WO2005048847A1 WO 2005048847 A1 WO2005048847 A1 WO 2005048847A1 JP 2004016747 W JP2004016747 W JP 2004016747W WO 2005048847 A1 WO2005048847 A1 WO 2005048847A1
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- color
- elasticity
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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
- A61B8/48—Diagnostic techniques
- A61B8/485—Diagnostic techniques involving measuring strain or elastic properties
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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
- A61B8/08—Clinical applications
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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
- A61B8/13—Tomography
- A61B8/14—Echo-tomography
Definitions
- the present invention relates to an ultrasonic diagnostic apparatus that displays a tomographic image of a diagnostic part of a subject using ultrasonic waves, and particularly relates to a technique for displaying an elastic image such as strain or elastic modulus of a living tissue.
- An ultrasonic diagnostic apparatus measures ultrasonic reflectance of a living tissue in a subject using ultrasonic waves.
- the measured value is displayed as a reflectance tomographic image of the diagnostic site as luminance.
- ultrasound diagnostic equipment has acquired time-series images of temporal changes in biological tissue when pressure is applied to a measurement target site, and correlates the time-series images to obtain the amount of movement of biological tissue ( For example, displacement is obtained, and the amount of movement is spatially differentiated to measure the strain of the living tissue, or to measure the elasticity of the living tissue as a tissue state diagnosis. Also, the distribution of the measured strain or elasticity is displayed as an elasticity image.
- the elasticity image aims at diagnosing a tumor such as a cancer, for example.
- the shape and hardness of a tumor such as a cancer vary depending on an individual, a site, or a medical condition.
- Patent Document 1 JP5-317313A
- Patent Document 2 JP2000-60853A
- an ultrasonic diagnostic apparatus of the present invention includes an ultrasonic probe that transmits and receives an ultrasonic wave to and from a subject, and a reflection device that receives the ultrasonic wave by the ultrasonic probe.
- Tomographic image forming means for generating a tomographic image based on an echo signal; and elasticity for generating a color elasticity image by obtaining a physical quantity relating to the elasticity of the subject at a portion corresponding to the tomographic image based on the reflected echo signal.
- the inspector variably sets the correspondence between the hue of the color elasticity image and the magnitude of the physical quantity via the input means based on his / her own judgment, thereby providing the desired elasticity such as distortion and elastic modulus. It is possible to display a color elasticity image by adding a favorite easy-to-see color to a part of the living body having the size of the subject. That is, for example, when diagnosing a tumor such as cancer, a site having a desired hardness, which is observed depending on individual differences or medical conditions, can be displayed in a specific color in accordance with the purpose of diagnosis. As a result, it is easy to discriminate the part to be observed from the part not to be observed, and the diagnosis can be performed promptly. Can be improved.
- the display of the color bar can be displayed in a hue having a different magnitude of the physical quantity, and the boundary between the large and small hues can be displayed in another different hue. That is, the observer observes that the boundary area of the hardness is displayed in a different color from the other areas on the color elasticity image. It can be easily identified and visibility can be improved.
- the boundary between the large and small hues is preferably formed so as to be movable by the input means. According to this, the spread of the boundary region of the hardness and the like can be easily observed.
- the color elasticity image can be displayed in the set hue only for a portion having one of the large and small physical values. Further, it is possible to display the color elasticity image with a hue different from that of the other parts in the peripheral part including the set value of the physical quantity. In this case, the hue of the peripheral portion can have a gradation corresponding to the magnitude of the physical quantity. According to these, a color image can be formed only on a portion having a hardness or a portion having a soft force of interest.
- the elastic image constructing means is configured to convert a rewritable color conversion table in which a relationship between a magnitude of a physical quantity and a color of a color elastic image is set, and the tomographic image based on a reflected echo signal.
- Calculating means for calculating a physical quantity related to the elasticity of the subject at a site corresponding to the following; color image generating means for reading a color corresponding to the determined physical quantity into a color conversion table to generate a color elasticity image representing the distribution of the physical quantity; It comprises input means for rewriting the contents of the color conversion table.
- the elasticity image forming means displays a color bar on the screen indicating a correspondence relationship between the magnitude of the physical quantity set in the color conversion table and the hue of the color elasticity image.
- FIG. 1 is an overall configuration diagram of an ultrasonic diagnostic apparatus according to an embodiment of the present invention.
- FIG. 2 is a detailed configuration diagram of a characteristic portion of the present invention.
- FIG. 3 is a diagram showing an example of a display image.
- FIG. 4 is a diagram illustrating a correspondence relationship between distortion distribution and hue information in a color conversion table according to the first embodiment.
- FIG. 5 is a diagram for explaining a correspondence relationship between an elastic modulus distribution and hue information in a color conversion table according to the second embodiment.
- FIG. 6 is a diagram showing an example of image display according to the first and second embodiments.
- FIG. 7 is a diagram illustrating correspondence between hue information of a color conversion table and display of a color bar according to a third embodiment.
- FIG. 8 is a diagram for explaining a correspondence relationship between color bars and hue information in a color conversion table according to a fourth embodiment.
- FIG. 9 is a diagram showing an example of image display according to a fourth embodiment.
- FIG. 10 is a view for explaining the correspondence between color bars and hue information in a color conversion table according to a fifth embodiment.
- FIG. 11 is a diagram illustrating a correspondence between color bars and hue information in a color conversion table according to a sixth embodiment.
- FIG. 12 is a diagram showing an example of image display according to a sixth embodiment.
- FIG. 13 is a diagram for explaining the correspondence between color bars and hue information in a color conversion table according to a seventh embodiment.
- FIG. 1 is a block diagram showing a configuration of an ultrasonic diagnostic apparatus according to an embodiment of the present invention.
- the ultrasonic diagnostic apparatus according to the present embodiment has a probe 2 used in contact with a subject 1 and an ultrasonic diagnostic apparatus with a time interval between the probe 1 and the probe 2.
- a receiving circuit 4 for receiving a time-series reflected echo signal generated from the subject 1, and a phasing addition of the received reflected echoes to generate RF signal data in a time-series manner.
- a phasing addition circuit 5 is provided.
- the tomographic image forming unit 6 that forms a grayscale tomographic image of the subject 1, for example, a black and white tomographic image, and the RF signal data power of the phasing and adding circuit 5
- An elasticity image forming unit 7 that measures displacement of the living tissue of the subject 1 to obtain elasticity data and forms a color elasticity image is provided.
- a switching adder 8 for changing the ratio of the black-and-white tomographic image to the color elasticity image, and an image display 9 for displaying the synthesized image.
- the ultrasonic diagnostic apparatus of FIG. 1 is appropriately operated by an external operator (examiner) via an operation unit 17 and a control unit 18.
- the signal output from the phasing and adding circuit 5 is represented by using RF signal frame data as, for example, signals in the form of I and Q signals obtained by complex demodulation of an RF signal.
- the probe 2 is formed by arranging a plurality of transducers, and has a function of electronically performing beam scanning and transmitting / receiving ultrasonic waves to / from the subject 1 via the transducers. ing.
- the transmission circuit 3 has a function of generating a transmission pulse for driving the probe 2 to generate an ultrasonic wave, and setting a convergence point of the transmitted ultrasonic beam to an arbitrary depth. I have.
- the receiving circuit 4 amplifies the reflected echo signal received by the probe 2 with a predetermined gain to generate an RF signal.
- the phasing and adding circuit 5 receives the RF signal amplified by the receiving circuit 4, controls the phase, forms a converged ultrasonic beam at a plurality of convergence points, and generates RF signal data. .
- an elastic image is generated by compressing the subject 1, measuring the displacement of the diagnostic site due to the compression, calculating the distortion and the elastic modulus.
- the probe 2 transmits and receives ultrasonic waves, and effectively applies a stress distribution to the body cavity of the diagnostic region of the subject 1. for that reason
- a compression plate is attached to the ultrasonic transmission / reception surface of probe 2 flush with the surface of the subject, and the compression surface composed of the ultrasonic transmission / reception surface of probe 2 and the compression plate is brought into contact with the body surface of the subject.
- the subject is pressed (pressurized or depressurized) by moving the surface up and down in a manual manner, the method is adopted.
- the tomographic image forming unit 6 includes a signal processing unit 10 and a black-and-white scan converter 11.
- the signal processing unit 10 receives the RF signal data from the phasing addition circuit 5 and performs signal processing such as gain correction, log compression, detection, contour enhancement, and filtering to obtain tomographic image data.
- the tomographic image forming unit 6 converts the tomographic image data of the black-and-white scan converter 11 and the signal processing unit 10 into digital signals, and converts the plurality of converted tomographic image data in time series. It is configured to include a plurality of frame memories for storing and a control controller.
- the black-and-white scan converter 11 acquires the tomographic frame data of the subject 1 stored in the frame memory as one image, and This is for reading out the frame data in synchronization with the television signal.
- RF signal frame data in the subject including the moving tissue is acquired at an ultrasonic cycle, and a display It is equipped with tomographic scanning means for reading out at the system cycle and means for controlling the system.
- the elasticity image forming unit 7 includes an RF signal selecting unit 12, a displacement calculating unit 13, a distortion calculating unit 14, an elasticity data processing unit 15, and a color scan converter 16.
- the power scan converter 16 is connected to an operation unit 17 via a control unit 18, and is configured to be able to control the hue of the intrinsic image from the operation unit 17.
- the operation unit 17 includes an operation device such as a keyboard, a trackball, and a mouse.
- a pressure gauge is attached to the probe 2, and a pressure measuring unit for measuring a pressure (compression force) for pressing the probe 2 against the subject 1 is provided.
- the RF signal selection unit 12 includes a frame memory and a selection unit.
- the RF signal selection unit 12 stores a plurality of RF signal data output from the phasing addition circuit 5 in a frame memory, and the stored RF signal frame data group is also stored by the selection unit into one set, that is, two RF signal frame data. It is configured to pick out.
- the RF signal selection unit 12 sequentially secures time-series RF signal data generated from the phasing addition circuit 5 based on the image frame rate in the frame memory. Then, in accordance with a command from the control unit 18, the selection unit selects the currently secured RF signal frame data (N) as the first data.
- N, M, and X are index numbers assigned to the RF signal frame data and are natural numbers.
- the displacement calculation unit 13 is for calculating a set of RF signal frame data force, displacement of a living tissue, and the like. For example, the displacement calculation unit 13 generates one-dimensional or! -Dimensional data for one set of RF signal frame data (N) and RF signal frame data (X) selected by the RF signal selecting unit 12. A correlation process is performed to obtain a displacement or a movement vector in the biological tissue corresponding to each point of the tomographic image, that is, a one-dimensional or two-dimensional displacement distribution relating to the direction and magnitude of the displacement.
- a method of detecting a movement vector for example, a method described in JP5-317313A is used.
- the block matching method divides an image into blocks with NXN pixel power, for example, focuses on the blocks in the region of interest, searches for the block closest to the block of interest, also finds the previous frame power, and refers to this. Then, predictive coding, that is, a process of determining a sample value based on the difference is performed.
- the strain data can be calculated by spatially differentiating the moving amount, for example, the displacement of the living tissue.
- the elastic modulus data is calculated by dividing the change in pressure by the change in the amount of movement.
- the distortion calculator 14 calculates the strain data by spatially differentiating the displacement of the living tissue, for example, the displacement output from the displacement calculator 13. For example, assuming that the displacement measured by the displacement calculation unit 13 is AL and the pressure measured by a pressure measurement unit (not shown) is ⁇ , the strain S can be calculated by spatially differentiating the AL. It is calculated by the formula of A LZ AX.
- the pressure applied to the body surface is measured directly by using a pressure sensor at the contact surface between the body surface and the compression mechanism, and the pressure applied by the applicant of the present invention has been previously filed. It can be measured by the method described in Application No. 2003-300325.
- the distortion calculation unit 14 performs various image processing such as smoothing processing in a coordinate plane, contrast optimization processing, and smoothing processing in the time axis direction between frames on the calculated elastic frame data.
- the elastic frame data may be output as the amount of distortion.
- the elasticity data processing unit 15 is configured to include a frame memory and an image processing unit, and secures elasticity frame data output in time series from the distortion calculating unit 14 in the frame memory.
- the data is subjected to image processing by the image processing unit in response to a command from the control unit 18.
- the color scan converter 16 converts the elasticity frame data from the elasticity data processing unit 15 into hue information according to a color conversion table described later.
- the elastic frame data is converted into the three primary colors of light, that is, red R (Red), green G (Green), and blue B (Blue).
- the force is also converted into configured hue information.
- elastic data with a large distortion is converted into a red code
- elastic data with a small distortion is converted into a blue code.
- the gradations of red R, green G, and blue B are assigned to 256 levels, and that the gradation "255" means that the luminance is displayed at a high luminance, and the gradation "0" means that the gradation is not displayed at all.
- the switching adder 8 includes a frame memory, an image processing unit, and an image selection unit.
- the frame memory stores tomographic image data from the black-and-white scan converter 11 and elastic image data from the color scan converter 16.
- the image processing section adds and combines the tomographic image data and the elasticity image data secured in the frame memory at a set ratio in accordance with a command from the control section 18.
- the brightness information and hue information of each pixel of the composite image are obtained by adding the respective information of the black-and-white tomographic image and the color elastic image at a set ratio.
- the image selecting unit selects an image to be displayed on the image display 9 from the tomographic image data, the elastic image data, and the composite image data of the image processing unit in the frame memory in accordance with a command from the control unit 18. Is what you do. Note that the tomographic image and the elasticity image may be displayed separately without being combined.
- the ultrasonic diagnostic apparatus 1 generates ultrasonic waves from the subject 1 by repeatedly transmitting ultrasonic waves to the subject 1 at intervals of time via the probe 2 in contact with the subject 1 with the transmission circuit 3.
- the time-series reflected echo signal is received by the receiving circuit 4 and subjected to phasing and addition to generate RF signal data.
- the tomographic image forming unit 6 Based on the RF signal data, the tomographic image forming unit 6 generates a gray-scale tomographic image, for example, a black and white B-mode image. At this time, when the probe 2 is scanned in a certain direction, one tomographic image is obtained.
- a color elastic image is generated by the elastic image forming unit 7 based on the RF signal data subjected to the phasing addition by the phasing addition circuit 5. Then, the obtained black-and-white tomographic image and the obtained color elasticity image are added, for example, by the switching adder 8 to create a composite image.
- tomographic image data input to the tomographic image forming unit 6 and the elastic image forming unit 7 are (tomographic image data) i, j, and elastic image data is (elastic image data) i, j.
- the subscripts i and j indicate the coordinates of the data element.
- the hue data of the converted tomographic image data that is, the three primary colors of light (R, G, B) data are expressed by the following equation 1. It is represented by
- the converted tomographic image data and elasticity image data are added at the set ratio O and combined.
- the set ratio ⁇ is arbitrarily set in advance in accordance with the properties of the living tissue and the like, and 1 ⁇ ⁇ 1.
- the generated composite image is composited as shown in Expression 2.
- the synthesized image is arbitrarily selected and displayed on the image display 9.
- FIG. 3 is a display example of a composite image of a tomographic image and an elasticity image according to the present embodiment.
- An image in which a color elastic image is superimposed on a black-and-white tomographic image is displayed, and an image in which the black-and-white tomographic image and the color elastic image are combined by the switching adder 8 is displayed.
- a region of interest (ROI) 50 that defines a range for acquiring an elasticity image on a black-and-white tomographic image is set in advance, and an elasticity image is obtained for the ROI 50.
- the reason for setting the ROI50 is that the area where elastic images can be acquired is limited in the depth direction, This is because there is a high possibility that a large part will be noise even if a certain part is acquired.
- the RO 150 can be arbitrarily set mainly in the direction in which the probe is pressed against the subject by a command from the operation unit 17 or the like.
- the power scan converter 16 outputs to the switching adder 8 as elastic image data including information converted into three primary colors based on the distortion data or elasticity data output from the elastic data processing unit. .
- the detailed configuration of the color scan converter 16 is based on distortion data or elastic modulus data, and is based on a 256 gradation section 20 that allocates three primary colors based on data from the operation section 17.
- the boundary line control unit 22 that changes the boundary by switching the color range
- the color mapping unit 21 that creates a color map adapted to the image from the 256 gradation unit 20 and the boundary line control unit 22, and the color mapping unit 21
- An image data output unit 24 for outputting the image data of the image to the switching adder 8.
- the 256-gradation unit 20 allocates an 8-bit signal based on a matching rule in order to allocate the elasticity frame data output from the elasticity data processing unit 15, that is, the distortion amount data corresponding to each pixel to 256 gradations.
- the gray scale data is output to the color mapping unit 21 with the 8-bit configuration (256 steps).
- the color mapping unit 21 receives the 8-bit (256-stage) gradation data output from the 256 gradation unit 20 and stores hue information such as red, green, and blue in the gradation data in advance. Assigned according to the color conversion table corresponding to the color bar.
- the vertical axis represents the distortion
- the horizontal axis represents the distortion for each coordinate in the RO 150 on the graph represented by the frequency, and adds each distortion.
- the average value of distortion 30 is calculated by calculating (total amount of distortion) Z (the number of pixels). Colors are assigned according to each fractional value up to the minimum distortion force and the minimum distortion value with the average value of this distortion being 30 as the axis.
- the memory provided in the color scan converter 16 is stored in the memory.
- the hue information including the color codes of red R, green G, and blue B is assigned to each table coordinate corresponding to the distortion value of the color conversion table 31 of the stored hue information.
- the method of assigning colors is, for example, when a soft portion with large distortion is displayed in red, FIG.
- the red R of the color code assigned to the coordinates corresponding to the location where the distortion is large is set large, and the green G and blue B are set small.
- soft portions can be displayed in red.
- set the color code blue B assigned to the coordinates corresponding to the small distortion in the color conversion table 31 to be large, and set green G and red R to be small. To do.
- the red R, green G, and green G of each coordinate with respect to the distortion value of the color conversion table 31 in FIG. Set the blue B allocation to be clearly visible, extending the range of blue B.
- a command is input from the operation unit 17 to the boundary line control unit 22 to set the red R and blue B boundary parts 32 to green G.
- the hue information of the color conversion table 31 is assigned so that the hard part is displayed in blue B and the soft part is displayed in red R with the average value of the distortion 30 as the center.
- FIG. 6 (a) By generating and displaying the elasticity image data based on this assignment, it is possible to recognize in which area the hard tissue is located in a wide area, as shown in FIG. 6 (a).
- the dashed line 100 in FIG. 6 is not shown in the elasticity image. This is shown for explaining the correspondence between FIGS. 6 (a), (b) and (c).
- Reference numeral 102 denotes a soft part
- reference numeral 103 denotes a hard part
- reference numeral 101 denotes an average part of hardness.
- blue B is displayed in a wide range and used as the background of red R as shown in FIG. 6 (b).
- red R to be extracted can be displayed in a prominent manner, and it is possible to easily recognize where the softness and the tissue are located.
- a portion having a distortion of a size to be extracted can be highlighted. It can be displayed upright.
- Example 2 describes a case in which the elastic modulus is displayed in color.
- the difference from the first embodiment is that an elastic modulus is assigned instead of strain.
- the color conversion table 31 provided in the color scan converter 16 divides the range of the elastic modulus calculation value into a plurality of ranges, and sets a red R, a green G, and a blue B in advance for each of the ranges.
- the color code is set.
- hue information corresponding to the input computed value of the elastic modulus is read from the color conversion table 31 to generate elastic image data.
- the operation unit 17 sends the data to the boundary line control unit 22 in the same manner as in the first embodiment.
- Input a command and set the boundary 32 between red R and blue B to green G.
- the color conversion table 31 is set so that the low modulus, the location is displayed in blue B, the elasticity is high, and the location is displayed in red R.
- Elastic image data is generated and displayed based on the assignment. With this display, it is possible to recognize in a wide area which region has a high or low elasticity tissue.
- the operation unit 17 and the boundary line control unit 22 And set the boundary 32 between red R and blue B to green G.
- the color conversion table 31 is set so that a low elastic modulus, a portion with blue B, a high elastic modulus, and a portion with red R are displayed centering around a region having a high elastic modulus.
- Elastic image data is generated and displayed based on the assignment. With this display, it is possible to recognize in which region there is a tissue having a high elastic modulus.
- the operation unit 17 and the boundary line control unit 22 And set the boundary 32 between red R and blue B to green G.
- the color conversion table 31 is set so that a low elastic modulus, a portion with blue B, a high elastic modulus, and a portion with red R are displayed around the low elastic modulus.
- Elastic image data is generated and displayed based on the assignment. With this display, it is possible to recognize in which region there is a tissue having a low elastic modulus.
- one of the portions sandwiched between the boundary portions 32 is a portion having a high elastic modulus and a portion having a low elastic modulus, and the elastic portion to be extracted is moved by moving the boundary portion 32. Can be displayed in a prominent manner.
- the boundary 17 may be moved up and down arbitrarily by operating the unit 17 and the display range may be expanded.
- one of a hard part and a soft part may be displayed, and in the case of an elastic modulus, only one of the high, low and high values of the elastic modulus may be displayed.
- the force of displaying red R as a soft part and blue B as a hard part based on the amount of distortion.
- any color may be displayed regardless of its color.
- the color density can be set arbitrarily by the 256 gradation unit 20, or replaced with a composite color combining red R, green G, and blue B, for example, black or yellow pink, to make it easier for the inspector.
- a color such as soft, spot or hard, and easy to recognize the spot may be displayed.
- the boundary portion 32 may be displayed by being replaced with an intermediate color between red R and blue B, which is formed only by green G, or a composite color obtained by combining red R, green G, and blue B.
- the command is inputted from the operation unit 17 to the boundary line control unit 22 without displaying the boundary part 32 in particular.
- the switching of the colors may be controlled by the user.
- FIG. 8 shows a color bar 41 indicating the relationship between the gradation data and the hue information of the fourth embodiment, and a hue information color conversion table 42 for the color bar 41.
- Example 13 is different from Example 13 in that the magnitude of the strain or the elastic modulus is colored by three colors of red R, green G, and blue B instead of being represented by two colors of red R and blue B. It is in. Further, in the present embodiment, the boundary between the magnitudes of the strain and the modulus of elasticity is displayed, which is a point.
- the distortion is measured to be small for the red R color code and conversely.
- hue information is allocated so as to be converted to the blue B color code, to the region where the distortion is almost in the middle, and to the green G color code! Therefore, between the red R color code and green G color code is converted to yellow Ye (Yellow), and between the green G color code and blue B color code is converted to cyan Cy (Cyanogen).
- the hue gradually changes near the boundary of.
- the color conversion table 42 of FIG. 8 only typical color codes of the color bar 41 are shown. Therefore, actually Is assigned a color code that changes stepwise near the boundary of each color.
- the switch adder 8 inputs the black-and-white tomographic image data from the black-and-white scan converter 11 and the color elastic image data from the force scan converter 16 and adds or switches both images.
- the switching adder 8 is capable of outputting only black-and-white tomographic image data or only color elasticity image data, or combining and outputting both image data, and variously switching.
- the switching adder 8 according to this embodiment is configured to superimpose color elastic image data on a black-and-white B-mode tomographic image with a predetermined transparency and display the image data on the image display 9 when adding and combining the two image data. Become! /
- FIG. 9 is a view showing a display example of the image display 9 of the ultrasonic diagnostic apparatus according to this embodiment.
- FIG. 9 shows an elasticity image when the transparency is “0”. In the figure, it is displayed near the center of the display image!
- the rectangular gray area (light gray area than the surrounding area) is the ROI.
- the circular dark and gray portions present in the rectangular region of interest are hard and portions as the living tissue, and the other light and gray portions are relatively soft portions.
- the rectangular region of interest is actually displayed in color. In the figure, black and white is displayed, which makes it difficult for the user to concentrate.
- the light gray portion of the region of interest is green, and the dark gray portion of the circle is entirely blue.
- the dark gray part of the area surrounded by the dotted line circle is red, and the other dark gray parts are blue. In these cases, red indicates soft parts of the living tissue, blue indicates hard parts, and green indicates intermediate hardness.
- the examiner variably sets the hue information of the color conversion table 42 in accordance with the purpose of the diagnosis, and adjusts the colorization so that, for example, a portion having a predetermined hardness or more is displayed in blue. can do. As a result, visibility is improved and usability is improved.
- the hue information of the color conversion table 42 is fixed uniformly in accordance with the magnitude of distortion, elasticity, or the like.
- the inspector can freely change the hue information in the color conversion table 42, so that a part having a predetermined hardness or more and its spread can be easily diagnosed.
- a color bar 41 indicating the hardness of the elasticity image is displayed on the right side surface of the elasticity image.
- This color bar 41 is the same as that shown in FIG.
- the force expressed in black and white is displayed in color on the actual display screen in accordance with the hue information as shown in the color conversion table 42 in FIG.
- characters “Soft” and “Hard” are displayed at the top and bottom of the color bar 41 so that the allocation of colors and hardness can be easily recognized! Displayed in this manner is the force when the color bar 41 corresponds to the magnitude of the distortion, that is, the hardness or softness of the tissue. Therefore, when it corresponds to the amount of displacement, the character indicating the distance is displayed, and when it corresponds to the elastic modulus, the character indicating the unit is displayed, so that the relationship of the allocation can be easily recognized. You can do it.
- FIG. 10 shows a fifth embodiment of the color bar and the color conversion table.
- the color bar 41 of the present embodiment is an example of setting hue information for observing the boundary of a hard part in detail.
- hue information for observing the boundary of a hard part in detail.
- by setting a hue that is different in hue from the surrounding hue around the middle between the blue B color code and the cyan Cy color code in Fig. 8 near the boundary of the hard part This is an example that can be easily identified.
- the setting of the hue information of these color bars 41 is performed by allocating the color codes (R, G, B) of the color conversion table 42 via the operation unit 17.
- the color bar 41 is different from the color bar 41 shown in FIG. 8 in that only the region of the hardness (or softness) of interest is raised.
- the area corresponding to the hardness is overcoated with, for example, a pink color code, and only the elastic image of that part is displayed in pink.
- the setting of the hue information is performed by assigning the color codes (R, G, B) of the color conversion table 42 via the operation unit 17.
- the color conversion table 42 is variably set by inputting a command from the operation unit 17 to the boundary line control unit 22.
- the user can freely expand and contract and move freely, and the color can be set arbitrarily.
- it is possible to display a region having a desired hardness, which is observed in detail, in a color desired by the user, or to display the gradation more gradationally, thereby improving the visibility.
- one region having a partially different color may be provided, or a plurality of regions may be provided.
- the color bar 41 of this embodiment is obtained by assigning hue information to a part of 256 gradations.
- FIG. 13 is a diagram showing details of the color bar 41 and the color conversion table 42 in FIG.
- the color bar 41 according to this embodiment provides an operation unit so that hue information is added only to a desired hard part, and empty (Null) data is stored in other areas, and hue information is not added.
- This is a modification of the color conversion table 42 from FIG.
- the color bar 41 shown in FIG. 8 is compressed so that hue information is allocated only to a portion of high interest and hardness.
- Areas with empty (Nul 1) data assigned will be elastic images with 100% transparency.
- the color bar 41 shown in FIG. 10 or FIG. 11 may be compressed, or a single color may be allocated! With this, hue information can be added only to the region to be observed in detail, so that the visibility can be improved.
- the RGB signal format is used as the component of the elastic hue frame data.
- the present invention is not limited to this example, but may be applied to other signal formats (for example, YUV). It may be realized by a method of adding hue information.
- the allocation of the red R, green G, and blue B color codes of the color conversion tables 31 and 41 is arbitrarily changed according to the distortion or the elastic modulus, so that the soft It is possible to display elasticity information relating to a living tissue, such as a place, a hard part, and a degree of elasticity, in such a manner as to be easily recognized according to the examiner's intention.
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Abstract
Description
Claims
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US10/580,100 US8608659B2 (en) | 2003-11-21 | 2004-11-11 | Ultrasonic imaging apparatus |
| JP2005515588A JP4657106B2 (ja) | 2003-11-21 | 2004-11-11 | 超音波診断装置 |
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2003391997 | 2003-11-21 | ||
| JP2003-391997 | 2003-11-21 | ||
| JP2003393305 | 2003-11-25 | ||
| JP2003-393305 | 2003-11-25 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2005048847A1 true WO2005048847A1 (ja) | 2005-06-02 |
Family
ID=34622198
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/JP2004/016747 Ceased WO2005048847A1 (ja) | 2003-11-21 | 2004-11-11 | 超音波診断装置 |
Country Status (3)
| Country | Link |
|---|---|
| US (2) | US8608659B2 (ja) |
| JP (1) | JP4657106B2 (ja) |
| WO (1) | WO2005048847A1 (ja) |
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| JP2007075184A (ja) * | 2005-09-12 | 2007-03-29 | Hitachi Medical Corp | 超音波診断装置 |
| JP2007181698A (ja) * | 2005-12-28 | 2007-07-19 | Medison Co Ltd | 病変を検出するための超音波診断システム |
| JP2010082308A (ja) * | 2008-10-01 | 2010-04-15 | Ge Medical Systems Global Technology Co Llc | 超音波診断装置 |
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| JP2010115241A (ja) * | 2008-11-11 | 2010-05-27 | Ge Medical Systems Global Technology Co Llc | 超音波診断装置 |
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| RU2010154112A (ru) * | 2008-05-29 | 2012-07-10 | Конинклейке Филипс Электроникс Н.В. (Nl) | Анализ деформации ткани |
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| JP2007181698A (ja) * | 2005-12-28 | 2007-07-19 | Medison Co Ltd | 病変を検出するための超音波診断システム |
| JP2010082308A (ja) * | 2008-10-01 | 2010-04-15 | Ge Medical Systems Global Technology Co Llc | 超音波診断装置 |
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Also Published As
| Publication number | Publication date |
|---|---|
| US20070112270A1 (en) | 2007-05-17 |
| JP4657106B2 (ja) | 2011-03-23 |
| US20100324421A1 (en) | 2010-12-23 |
| US8608659B2 (en) | 2013-12-17 |
| JPWO2005048847A1 (ja) | 2007-11-29 |
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