JP4528066B2 - Ultrasonic diagnostic equipment - Google Patents

Description

  The present invention relates to an ultrasonic diagnostic apparatus, and more particularly to a technique for transferring data to a processor that forms an arbitrary tomographic image.

  In the ultrasonic diagnostic apparatus, a three-dimensional space (three-dimensional echo data capturing space) is formed by two-dimensional scanning with an ultrasonic beam. As a result, volume data is acquired. A three-dimensional image is formed by rendering processing on the volume data. In addition, an arbitrary cross section (cut plane) is designated by a user at an arbitrary position and posture with respect to the three-dimensional space, and a tomographic image (arbitrary tomographic image) corresponding to the arbitrary cross section is formed.

  Generally, volume data is composed of a plurality of frame data, and each frame data is composed of a plurality of beam data. Each beam data is constituted by an echo data string existing on the ultrasonic beam. That is, the volume data is configured as an echo data set that exists discretely in a three-dimensional space.

  When the above arbitrary tomographic image is formed by designating an arbitrary slice in the three-dimensional space, the echo data is not necessarily contained in the three-dimensional coordinates corresponding to each pixel (grid point, pixel) on the arbitrary slice in the three-dimensional space. It does not exist and echo data exists in the vicinity of it. Therefore, for each pixel on the cross section, a plurality of echo data existing in the vicinity thereof is referred to, and interpolation calculation is performed on them to calculate the pixel value (interpolation data) of the pixel of interest. Done.

  That is, in the conventional device, each time an arbitrary cross section is specified for a three-dimensional space, first, a plurality of neighboring data used in the interpolation calculation for each pixel according to the pixel order (raster scan order) on the arbitrary cross section. Three-dimensional coordinates (address) were calculated, and weighting coefficients for each neighborhood data were calculated. Such information constitutes an interpolation table. Next, the pixels are specified in order according to the pixel order on the arbitrary cross section, the interpolation data for each pixel is acquired from the interpolation table, the plurality of echo data specified by the interpolation data is acquired, and they are used. The pixel value was calculated by interpolation calculation.

  More specifically, in the conventional apparatus, a plurality of acquired frame data is temporarily stored in a storage unit (external storage unit). On the other hand, the image forming process is executed at high speed by a device such as a DSP (digital signal processor). When the above arbitrary tomographic image is formed, the interpolation data is calculated by the processor core in the device, or the interpolation data is calculated by an external CPU or the like, and the interpolation data is stored in the external storage unit. Then, the interpolation data is sequentially acquired from the external storage unit according to the pixel order on the arbitrary cross section, and a plurality of reference echo data (no continuity as a whole) specified by the interpolation data is acquired from the external storage unit. Then, the above interpolation processing is executed. The following Patent Document 1 and Patent Document 2 describe an ultrasonic diagnostic apparatus using an interpolation table. However, it does not describe speeding up of data transfer or rearrangement of table elements.

JP 2000-239 A JP 2001-327506 A

  According to the configuration of the conventional apparatus described above, it is necessary to perform random access from the device side to the external memory. In other words, it is necessary to individually specify addresses of a plurality of echo data necessary for the interpolation processing and import them. Although high-speed data transfer can be performed within the device, if random access is made to a storage unit outside the device, a significant load is generated in the data transfer processing, and necessary data cannot be transferred at high speed. As a result, the time required to form one arbitrary tomographic image is increased, and particularly when the position of the cross section is changed, the time until a new arbitrary tomographic image is displayed is delayed, and real-time image updating cannot be expected. There's a problem.

  It is an object of the present invention to efficiently perform data transfer when an arbitrary tomographic image is formed so that rapid image processing can be realized.

(1) The present invention refers to a first storage unit that stores a frame set acquired in a three-dimensional space, and each pixel on a cut plane that is set for the three-dimensional space by interpolation calculation thereof. An interpolation data calculation unit that calculates interpolation data having a plurality of weighting factors to be given to a plurality of neighboring data, a second storage unit that stores an interpolation data sequence corresponding to the pixel array on the cut surface, and Using the frame set transferred from one storage unit according to the frame transfer order and the interpolation data sequence transferred from the second storage unit in the order corresponding to the frame transfer order, the cutting is performed in the order corresponding to the frame transfer order. And an image forming processor that sequentially advances interpolation operations for each pixel on the surface to form a tomographic image corresponding to the cut surface.

  According to the above configuration, each frame data is transferred from the first storage unit to the image forming processor in the frame transfer order (desirably, the frame positive direction alignment order or the frame negative direction alignment order). On the other hand, each interpolation data is transferred from the second storage unit to the image forming processor in the order according to the frame transfer order. Therefore, the transfer order of the interpolation data is matched with the frame transfer order, and the interpolation calculation can be advanced without random access to the first storage unit as in the conventional case. Therefore, the data transfer burden is reduced and the interpolation process can be performed quickly.

  The first storage unit may be a three-dimensional memory in which all the frame sets that are volume data are simultaneously stored, or a buffer memory in which one or a plurality of frame data of the frame sets are sequentially stored at each time point. There may be. The first storage unit and the second storage unit may be configured separately or may be constructed on a single storage device. The transfer control of each data may be realized as a function of the image forming processor or may be realized as a function of the external control unit. The pixels to be subjected to the interpolation calculation may be all the pixels on the cut surface, but it is desirable to exclude pixels outside the three-dimensional space from the calculation target for efficient calculation processing. That is, it is desirable to calculate the interpolation data for only the effective pixels and omit the calculation of the interpolation data for the other pixels.

  Preferably, prior to the transfer of the interpolated data sequence, an array control means for storing the interpolated data sequence in the arrangement order corresponding to the frame transfer order on the second storage unit.

  According to this configuration, since the interpolation data string is stored in advance in the transfer order on the second storage unit, burst transfer can be performed for each predetermined unit from the beginning. The array control means may be realized as a partial function of the interpolation data calculation unit.

  Preferably, the arrangement control means rearranges the coordinate conversion results in the arrangement order corresponding to the frame transfer order based on the result of the coordinate conversion of each pixel sequentially executed in the pixel arrangement order on the cut surface. The interpolation data calculation unit calculates interpolation data for each pixel after the rearrangement based on the coordinate conversion result.

  Preferably, the interpolation data calculation unit calculates interpolation data for each pixel based on a result of coordinate conversion sequentially performed for each pixel in the pixel arrangement order on the cut surface, and the array control unit includes: The interpolation data sequence according to the pixel arrangement order on the cut surface is rearranged in the arrangement order corresponding to the frame transfer order based on the result of coordinate conversion for each pixel.

  As described above, the rearrangement can be performed prior to the calculation of the interpolation data, or the rearrangement can be performed after the calculation of the interpolation data.

  Preferably, the frame set stored in the first storage unit is transferred in units of frames, and the interpolation data string stored in the second storage unit is transferred in units corresponding to the frame units. For example, when interpolation processing is performed in units of a fixed number of adjacent frames (frame sets), one or a plurality of pixels covered by them is set as an interpolation target of the interpolation processing, and such one or a plurality of pixels Constitutes a transfer unit in which one or a plurality of interpolation data corresponding to is cut out from the interpolation data string.

  Preferably, a reference frame number is specified for each pixel on the cut surface, and an interpolation data set composed of a plurality of interpolation data having the same reference frame number is transferred from the second storage unit to the image forming processor as a reference frame number. Batch transfer in order.

  The reference frame is attribute management information for grouping individual pixels to be interpolated based on the frame. By such grouping, each transfer unit can be partitioned on the interpolation data string, and the number of transfer elements to be transferred at once (the number of interpolation data to be transferred) can be easily specified as necessary. In the embodiment, the reference frame refers to a frame to which neighboring data (reference point) serving as a coordinate reference belongs among a plurality of neighboring data referred to when performing interpolation calculation of a certain pixel.

  Preferably, the interpolation data calculation unit calculates the interpolation data for each effective pixel in the three-dimensional region on the cut surface, and the interpolation data string is configured by interpolation data for each effective pixel.

  According to this configuration, since the calculation of interpolation data can be omitted outside the region to be imaged on the cut surface, the amount of calculation can be reduced, and a quick interpolation process can be performed.

  Preferably, the image forming processor has an internal memory, and a frame set composed of a plurality of frames and an interpolation data set corresponding to the frame set are simultaneously stored in the internal memory.

  For example, the first storage unit and the second storage unit (that is, the external memory) are configured by DRAM, while the internal memory in the image forming processor is configured by SRAM. As is well known, the latter SRAM can easily perform high-speed random access, but its capacity cannot be increased due to various constraints. On the other hand, although it is easy to increase the capacity of the DRAM, it is necessary to specify a row address and a column address, so that random access takes time.

  Originally, if all of the volume data and the interpolation data string can be stored in the internal memory, the random access can be performed to perform rapid interpolation processing. However, in practice, necessary data can be transferred from the external memory to the internal memory. The actual situation is that the data is read into small pieces and the transfer and interpolation processes are sequentially advanced.

  In the above case, if the interpolation process proceeds in the order of arrangement of the pixels on the cut surface, random access will inevitably occur for the volume data on the external memory. According to the present invention, the frame transfer order is changed. Since the transfer order is devised so that interpolation processing can be performed in units of frames as a reference, necessary data can be transferred from the external memory to the internal memory quickly and easily in the arrangement order (especially preferably burst transfer). . Therefore, efficient and quick processing can be achieved while using DRAM and SRAM as external memory and internal memory, respectively.

  As described above, according to the present invention, when an arbitrary tomographic image is formed, it is possible to efficiently perform data transfer and realize rapid image processing.

  DESCRIPTION OF EXEMPLARY EMBODIMENTS Hereinafter, preferred embodiments of the invention will be described with reference to the drawings.

  FIG. 1 shows a preferred embodiment of an ultrasonic diagnostic apparatus according to the present invention, and FIG. 1 is a block diagram showing the overall configuration thereof.

  The 3D probe 10 is a transducer that acquires volume data by transmitting and receiving ultrasonic waves to and from a three-dimensional space in a living body. In the present embodiment, a 2D array transducer formed by two-dimensionally arranging a plurality of vibration elements is provided in the 3D probe 10. An ultrasonic beam is formed by the 2D array transducer, and the ultrasonic beam is electronically scanned two-dimensionally. Specifically, a scanning plane is formed by electronic scanning of an ultrasonic beam in a first direction, and a three-dimensional echo data capturing space (third order) is obtained by electronic scanning of the scanning plane in a second direction orthogonal thereto. Original space) is formed. In the present embodiment, the 3D space is formed using the 2D array transducer, but the 3D space can also be formed by mechanically scanning the 1D array transducer. Incidentally, electronic sector scanning, electronic linear scanning, electronic convex scanning, and the like are known as electronic scanning methods.

  The transmission / reception unit 12 is configured as a digital beamformer, that is, the transmission / reception unit 12 functions as a transmission beamformer and a reception beamformer. Specifically, a plurality of transmission signals are supplied from the transmission / reception unit 12 to the plurality of vibration elements, thereby forming a transmission beam. The phasing addition processing is executed in the transmission / reception unit 12 for the plurality of reception signals output from the plurality of vibration elements, and thereby the reception signal after phasing addition corresponding to the reception beam is obtained. This received signal corresponds to an echo data string (beam data) obtained on the received beam.

  The memory 14 is constituted by a DRAM, for example, and the memory 14 functions as a so-called 3D memory in the present embodiment. Volume data corresponding to the three-dimensional space is stored on the memory 14. The volume data is composed of a plurality of frames (frame data), and each frame is composed of a plurality of beam data. Incidentally, the present invention can be applied even if the memory 14 is not a 3D memory. For example, a frame memory that buffers a transfer frame may be used. In this embodiment, as will be described in detail later, each frame is transferred in accordance with the frame arrangement order in the frame scanning direction, and various configurations can be adopted as long as such transfer can be performed.

  The 3D image forming unit 16 is a module that constructs a three-dimensional image based on volume data. For example, an ultrasonic three-dimensional image is constructed using an image forming method such as a volume rendering method. The image data is output to the display processing unit 18.

The arbitrary tomographic image forming unit 22 is configured as a DSP (digital signal processor) 22 in the present embodiment. The arbitrary tomographic image forming unit 22 is a means for forming a tomographic image (corresponding to a B-mode tomographic image) corresponding to an arbitrary cross section (cut plane) set at an arbitrary position and posture with respect to the three-dimensional space by the user. is there. Inside, an internal memory 23 composed of SRAM or the like is provided. On the internal memory 23, data transferred from the memory 14 and data transferred from the interpolation table 24 are stored, and the formed image data is stored. The image data is read and sent to the display processing unit 18. The display processing unit 18 performs necessary display processing on the input image data and then outputs the image data to the display device 20. A three-dimensional image and an arbitrary tomographic image are displayed on the display 20.
The interpolation table 24 is constructed on a memory such as a DRAM. The interpolation table 24 is a table that stores a plurality of interpolation data necessary for constructing an arbitrary tomographic image as an interpolation data string. Necessary interpolation data is sent from the interpolation table 24 to the arbitrary tomographic image forming unit 22, and an arbitrary tomographic image is formed by executing interpolation processing in units of frames using such interpolation data.

  The interpolation table creation unit 25 is a module that creates the interpolation table 24 based on coordinate data of an arbitrary cross section set by the user. The interpolation table creation unit 25 includes a rearrangement unit 26 in the present embodiment, and the rearrangement unit 26 executes a rearrangement process so that a plurality of interpolation data is in an arrangement order that matches the frame transfer order. That is, a plurality of interpolation data is stored on the interpolation table 24 in an array according to such a frame transfer order. The interpolation data will be described later with reference to FIG.

  The control unit 28 is constituted by a CPU, an operation program, and the like, and performs operation control of each configuration shown in FIG. In particular, as shown in FIG. 1, data necessary for creating an interpolation table is passed from the control unit 28 to the interpolation table creating unit 25. The control unit 28 may function as the interpolation table creation unit 25. An input unit 30 constituted by an operation panel or the like is connected to the control unit 28. Using this input unit 30, the user can specify an arbitrary cross section for the three-dimensional space and set interpolation conditions.

  FIG. 2 shows a relationship between a three-dimensional space (3D space) 110 and an arbitrary cross section (cut plane) S. In the example shown in FIG. 2, electronic sector scanning is applied in both the first direction and the second direction. The θ direction is the beam scanning direction, and the φ direction is the frame scanning direction. O represents a vertex of the 3D space 110. Reference numeral 112 represents a scanning plane. The polar coordinate system is defined by the beam depth direction r, the beam scanning direction θ, and the frame scanning direction φ, while the x, y, and z directions in the orthogonal coordinate system are defined in FIG. A region included in the 3D space 110 on the arbitrary cross section S is a display image area S ′. In this embodiment, as will be described in detail later, interpolation data is calculated for each pixel (pixel point) in the display image area S ′, in other words, in an area other than the display image area S ′. For existing pixels, calculation of interpolation data is omitted. A large number of grid points (pixel array) are defined on the arbitrary cross section S, and each grid point is a pixel point. In FIG. 2, one pixel point P is shown.

The 3D space 110 is composed of a plurality of frames (frame data) as shown in the drawing, that is, composed of n frames F ₁ , F _2, ..., F _n . Conventionally, the calculation of the interpolation data is performed in the raster order for each pixel specified in the raster scan direction on the arbitrary cross section S, that is, for each pixel specified in the X direction and the Y direction, regardless of the frame order. Then, interpolation processing is sequentially executed according to such interpolation data. Therefore, an interpolation pixel string formed using one interpolation data string in the raster direction is indicated by reference numeral 116 in the figure. However, according to such processing, there is a problem that the interpolation processing is inevitably performed wastefully in the area other than the display image area S ′, and the interpolation processing is performed on the echo data existing in the 3D space 110. For this reason, there was a problem that random access had to be performed.

On the other hand, in the present embodiment, the arrangement order of the interpolation data strings is controlled so that the interpolation data strings can be rearranged, that is, the interpolation process can be sequentially executed in the frame arrangement order. As a result, for example, when frames F ₁ and F ₂ are transferred as the first frame pair, interpolation processing can be performed on a plurality of pixel points existing in an area indicated by reference numeral 114 by the frame pair. Therefore, if such a frame pair is sequentially selected in the φ direction, and frame transfer and interpolation data transfer are performed at the same time, the interpolation processing result can be sequentially grown in the frame arrangement direction. A tomographic image can be constructed. Further, in the present embodiment, as described later, since interpolation data is calculated only for pixel points in the display image area S ′, there is an advantage that it is possible to prevent conventional calculation waste. .

  FIG. 3 shows a method for creating an interpolation table as a flowchart. First, in S101, 1 is substituted for k. k represents the number of the pixel point to be processed. In S102, the coordinates of the kth pixel point P on the arbitrary cross section set by the user are represented by orthogonal coordinates. That is, when the coordinates of the pixel point P on the arbitrary cross section are specified by (X, Y), it is converted to (x, y, z).

  In S103, a coordinate conversion process is executed. That is, the orthogonal coordinates (x, y, z) of the pixel point P represented by the orthogonal coordinates are converted into polar coordinates (r, θ, φ). Specifically, as shown in FIG. 4, in the xy plane, the coordinates (x, y) of the pixel point P are converted to (r, θ), and as shown in FIG. In the zy plane, the coordinates (z, y) of the pixel point P are converted to (r, φ). Specifically, the following formulas (1), (2), and (3) are executed to match the polar coordinate array of the actual echo data.

r = (x ² + y ² + Z ² ) ^1/2 * c1 (1)
line = θ * c2 (2)
frame = φ * c3 (3)

  In the above, c1 is the number of ultrasonic samples existing within the unit pixel length, that is, the number of echo data. c2 is the number of ultrasonic lines existing within a unit angle in the θ direction. c3 is the number of ultrasonic frames existing within a unit angle in the φ direction. In addition, θ = arctan (x / y) and φ = arctan (z / y), and these and the above-described route calculation of the equation (1) may be actually executed, or a lookup table (LUT ) Or the like.

  In this embodiment, counter [f] is prepared for counting the number of reference points described later for each frame (here, f = 1 to n), that is, such n counters are provided. It has been. In S104 shown in FIG. 3, the integer value of the frame calculated above is set to f, and counter [f] is counted up. That is, in step S104, the number of reference points belonging to each reference frame when each frame is viewed as a reference frame is counted. By managing the number of reference points in this way, there is an advantage that when the interpolation table is created later and the interpolation data is read out in units of reference frames, the read number can be easily managed. In S105, k is incremented by one. In S106, it is determined whether or not k exceeds the upper limit value of the pixel number. If not exceeded, the processes from S102 are repeatedly executed. That is, on the arbitrary cross section S shown in FIG. 2, coordinate conversion is performed for each pixel point in the order of raster scanning.

  With the processing as described above, an array (structure) of coordinate conversion results as shown in FIG. 5 is obtained. Here, reference numerals 130 and 132 respectively represent coordinate conversion results for each pixel point, and each coordinate conversion result is constituted by r, line, frame, and pixel point number data. Here, in the structure in FIG. 5, the coordinate conversion results are arranged in the order of raster scanning, that is, the order of pixel numbers.

  In S107, the structures as shown in FIG. 5 are rearranged in the frame transfer order, that is, the frame arrangement order. In this case, f (which is an integer value) calculated in S104 is referred to. That is, the coordinate conversion results are rearranged in the order of f. In that case, a known quick sort algorithm or the like can be used.

  In S108 shown in FIG. 3, as described below, a reference point is specified for each pixel point, and an interpolation coefficient set is calculated. Accordingly, interpolation data is obtained for each pixel point in the order of the rearranged pixel points, that is, an interpolation data string having a desirable arrangement is formed by such processing. Then, the process shown in FIG. 3 ends.

FIG. 6 shows the principle of the interpolation calculation. Here, a pixel point P to be interpolated exists between the two frames F _i and F _{i + 1} . Actual data exists only on each lattice point shown in FIG. 6, and no data exists at the position of the pixel point P. Therefore, the pixel value (interpolation value) of the pixel point P is obtained by interpolation calculation from the data values of eight points of data points A, B, C, D, E, F, G, and H. This is a known technique. In that case, four data points on the frame f _i and the frame F _i by the integer values of r, line, and frame (and integer values obtained by adding 1) calculated in S103 shown in FIG. Four data points on ₊₁ are identified. Each decimal value is used as a parameter for calculating a weight coefficient that is given to each data point in the interpolation process.

Here, the point A shown in FIG. 6 is a reference point for the pixel point P. That is, the point A is a point specified by each integer value of r, line, and frame. The frame F _i to which the reference point A belongs becomes a reference frame for the pixel point P. In other words, by specifying a reference point for each pixel point and specifying a frame attributed by the reference point as a reference frame, which frame pair is used for the interpolation processing for each pixel point on an arbitrary cross section It is possible to specify whether it is performed. That is, the pixel point array can be grouped from the surface of the interpolation processing with reference to the reference point or the reference frame, and the groups can be arranged in the frame arrangement order. The counter is a counter that represents the number of reference points on each reference frame.

  FIG. 7 shows the contents of the interpolation table. In this interpolation table, a plurality of interpolation data 134 are arranged in the frame transfer order, that is, the frame arrangement order. That is, a plurality of interpolation data 134 are arranged in a sequence obtained by sorting the coordinate conversion results for each pixel point.

  Each interpolation data 134 has eight weighting factors 136 given to eight data points referred to in the interpolation calculation, an intra-frame offset 138 of point A as a reference point, and a pixel point number 140.

Eight weight coefficients 136 are represented by W _A to _W-H in FIG. The intra-frame offset 138 of point A represents the address of point A on the reference frame to which point A belongs. That is, since the information of the reference frame itself to which the point A belongs is already recognized as an array of interpolation data, the intra-frame offset 138 of the point A is managed here in order to reduce the data amount. The pixel point number 140 is an ID for each pixel point.

  In this embodiment, when a frame pair is transferred from the memory 14 to the arbitrary tomographic image forming unit 22 shown in FIG. 1, an interpolation data set for the frame pair is transferred from the interpolation table 24. That is, a plurality of interpolation data corresponding to a plurality of pixel points that are interpolated by the frame pair are collectively transferred. For example, when the first frame pair is transferred, the first interpolation data set 142 is transferred as shown in FIG. Subsequently, when the second frame pair is transferred, the second interpolation data set corresponding to the second frame pair is transferred. This is repeated. In this case, the number of interpolation data constituting each interpolation data set can be specified by referring to the counter value. That is, a counter value is managed for each frame, and the counter value represents the number of interpolation data. Accordingly, each of the counter values from frame numbers 1 to n is referred to, and burst transfer processing is performed step by step for the number of data specified by each counter value.

  FIG. 8 shows a data transfer process as a flowchart. First, in S201, 1 is substituted for j. In S202, the interpolation result writing area on the internal memory of the processor constituting the arbitrary tomographic image forming unit is initialized with zero. That is, the contents of the interpolation result writing area are cleared. In S203, referring to counter {j}, interpolation data having a reference point on the jth frame is DMA-transferred to the internal memory in a lump. At the same time, in S204, the jth frame and the (j + 1) frame are DMA-transferred to the internal memory. In S205, an interpolation operation is executed for all pixel points having a reference point on the jth frame. In S206, the above interpolation calculation result is written in the internal memory. This will be described later with reference to FIG. In S207, j is incremented by one. In S208, it is determined whether or not j matches n. If they do not match, each step after S202 is repeatedly executed.

  FIG. 9 illustrates the concept of the data transfer process illustrated in FIG. 8 as an explanatory diagram.

  On the memory 14, n frames from the first to the n-th are stored. For these n frames, n-1 pairs from the first pair to the n-1th pair can be defined. In the present embodiment, the pair is used as a transfer unit. However, duplicate transfer may not be performed for frames that have already been transferred.

  On the other hand, n−1 interpolation data sets from the first interpolation data set to the n−1th interpolation data set are stored on the interpolation table 24. These interpolation data sets are stored in the order matching the frame transfer order as described above.

  The arbitrary tomographic image forming unit 22 includes a core module 32 that executes arithmetic processing and an internal memory 23. On the internal memory 23, storage areas 34 and 36 for storing two frames transferred from the memory 14 are secured, and a storage area for storing the interpolation data set transferred from the interpolation table 24 is secured. . Further, a writing area 40 for storing an arbitrary tomographic image formed by the interpolation process is secured. As described with reference to FIG. 8, the transfer of each interpolation data set and the transfer of each frame pair are performed, and the interpolation processing is executed in units of frames, and the execution result is stored in the internal memory. The process is sequentially repeated in the frame arrangement order. Then, an arbitrary tomographic image is constructed on the internal memory 23.

  FIG. 10 shows a state after the interpolation result is written in the writing area 40. The numbers in each cell represent transfer pair numbers (transfer interpolation data set numbers), and pixel values are given for each pixel in the order of the numbers. In addition, “-” in the cell is a pixel that is not subject to interpolation calculation, and no interpolation data is prepared for these pixels. Such a pixel is given a luminance value of 0 by the initialization process described above.

  Therefore, according to the present embodiment, since the transfer process and the interpolation process can be performed in the frame arrangement order, there is an advantage that the process associated with data transfer can be reduced and the process can be performed quickly. In addition, since unnecessary pixels are not subjected to computation of interpolation data, there is an advantage that rapid processing can be performed in this respect. In the above-described embodiment, the interpolation processing is performed in units of two frames. Of course, the interpolation processing may be performed in units of more frames or half of the frames. Further, in the above embodiment, the frame and the interpolation data set are burst-transferred, but other transfer methods can be adopted. However, according to the burst transfer as described above, since data transfer can be quickly performed collectively from the head to a predetermined address, there is an advantage that it is extremely simple and the burden on the processor accompanying the data transfer can be reduced.

1 is a block diagram showing an overall configuration of an ultrasonic diagnostic apparatus according to the present invention. It is a figure for demonstrating the setting of the arbitrary cross section with respect to 3D space. It is a flowchart which shows the preparation process of an interpolation table. It is a figure for demonstrating coordinate transformation. It is a figure which shows the structure showing a coordinate transformation result. It is a figure for demonstrating the pixel point used as the interpolation object, and eight neighboring points. It is a figure which shows the specific example of an interpolation table. It is a flowchart for demonstrating the data transfer method. It is a conceptual diagram for demonstrating the data transfer method. It is a conceptual diagram for demonstrating mapping of the pixel value calculated | required by the interpolation calculation.

Explanation of symbols

  10 3D probe, 14 memory, 16 3D image forming unit, 22 arbitrary tomographic image forming unit, 23 internal memory, 24 interpolation table, 25 interpolation table creating unit, 26 rearrangement unit.

Claims (8)

A first storage unit storing a frame set acquired in a three-dimensional space;
For each pixel on the cutting plane set for the three-dimensional space, an interpolation data calculation unit that calculates interpolation data having a plurality of weighting factors to be given to a plurality of neighboring data referenced in the interpolation calculation;
A second storage unit storing an interpolation data string corresponding to the pixel array on the cut surface;
Using the frame set transferred from the first storage unit according to the frame transfer order and the interpolation data sequence transferred from the second storage unit in the order corresponding to the frame transfer order, in the order corresponding to the frame transfer order An image forming processor that sequentially proceeds with an interpolation operation for each pixel on the cut surface to form a tomographic image corresponding to the cut surface;
An ultrasonic diagnostic apparatus comprising: The apparatus of claim 1.
Prior to the transfer of the interpolated data string, an ultrasonic diagnostic apparatus comprising: array control means for storing the interpolated data string in the arrangement order corresponding to the frame transfer order on the second storage unit. The apparatus of claim 2.
The array control means rearranges the coordinate conversion results in an order corresponding to the frame transfer order based on the result of coordinate conversion of each pixel sequentially executed in the pixel arrangement order on the cut surface,
The ultrasonic diagnostic apparatus, wherein the interpolation data calculation unit calculates interpolation data based on a coordinate conversion result for each pixel after the rearrangement. The apparatus of claim 2.
The interpolation data calculation unit calculates interpolation data for each pixel based on the result of coordinate transformation performed sequentially for each pixel in the pixel arrangement order on the cut surface,
The ultrasonic diagnosis is characterized in that the array control means rearranges the interpolation data sequence according to the pixel arrangement order on the cut surface in an arrangement order corresponding to the frame transfer order based on a result of coordinate conversion for each pixel. apparatus. The apparatus of claim 1.
A set of frames stored in the first storage unit is transferred in units of frames;
The ultrasonic diagnostic apparatus, wherein the interpolation data string stored in the second storage unit is transferred in a unit corresponding to a frame unit. The apparatus of claim 1.
A reference frame number is identified for each pixel on the cut surface,
An ultrasonic diagnostic apparatus, wherein an interpolation data set including a plurality of interpolation data having the same reference frame number is collectively transferred from the second storage unit to the image forming processor in the order of reference frame numbers. The apparatus of claim 1.
The interpolation data calculation unit calculates the interpolation data for each effective pixel in the three-dimensional region on the cut surface,
2. The ultrasonic diagnostic apparatus according to claim 1, wherein the interpolation data string is constituted by interpolation data for each effective pixel. The apparatus of claim 1.
The image forming processor has an internal memory;
The ultrasonic diagnostic apparatus characterized in that the internal memory stores a frame set composed of a plurality of frames and an interpolation data set corresponding to the frame set.

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