JP2002109532A - Method and apparatus for treating filter, mri device and software - Google Patents

Abstract

PROBLEM TO BE SOLVED: To perform excellent filter treatment to an extended data array which extends the number of data by adding interpolation data between original data of an original data array. SOLUTION: When the integer close to the size ratio R of the extended data array to the original data array is defined I, the data is re-arrayed so as to be summarized by the data located for each (I-1) pieces of data, the filter treatments is performed for the re-arrayed data array, and the data of the filter-treated extended data array is restored to the original position. Since the filter treatment is performed in a condition in which the original data is not mixed with the interpolation data, excellent filter treatment can be performed.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a filter processing method, a filter processing apparatus, an MRI apparatus, and software, and more particularly, to an expansion in which the number of data is expanded by adding interpolation data between original data in an original data array. The present invention relates to a filter processing method, a filter processing apparatus, an MRI apparatus, and software capable of performing good filter processing on a data array.

[0002]

2. Description of the Related Art In an MRI apparatus, for example, 12
A desired matrix size such as 8 × 128, 256 × 256 can be selected. On the other hand, when the captured image is stored, for example, 256 × 2
The matrix size is fixed at 56 or 512 × 512. Therefore, when the matrix size at the time of imaging is smaller than the storage matrix size, interpolation processing is performed, and interpolation data is added between the original data.

FIG. 22 is a conceptual diagram of a data array of a matrix size at the time of imaging. Black circles represent original data. This data array is generally called an original data array.

FIG. 23 is a conceptual diagram of a data array in which interpolation data is added between original data to increase the matrix size for storage. Open circles represent interpolation data. This data array is generally called an enlarged data array.

Conventionally, when performing a filtering process on an enlarged data array, a filtering process is performed on the enlarged data array to obtain a filtered enlarged data array as shown in FIG. Black squares represent original data after filtering, and white squares represent interpolation data after filtering.
The filtering process is, for example, a smoothing process, an edge enhancement process, a variance value process, or the like.

[0006]

Problems of the prior art will be described with reference to FIGS. For the sake of simplicity, the description will be made on the assumption that the data array is a one-dimensional array and the filtering process is a smoothing process. As shown in FIG. 25, in the original data array, it is assumed that the data at the odd positions take the value L and the data at the even positions take the value H. FIG.
As shown in (1), an enlarged data array is obtained by adding interpolation data having an average value to an intermediate position between adjacent original data. FIG. 27 shows that, in the enlarged data array of FIG. 26, when there is adjacent data on only one side of the data to be smoothed, a weight of 0.5 is applied to the data to be smoothed and a weight of 0.5 is applied to the adjacent data. Is multiplied, and if there is adjacent data on both sides of the data to be smoothed, the data to be smoothed is weighted by 0.5 and the adjacent data is weighted by 0.25 each and added. It is an enlarged data array as a result of performing a smoothing process that takes a value.

However, if the same smoothing process is performed on the original data array, the result is as shown in FIG.

As can be seen from a comparison between FIG. 27 and FIG. 28, when a filtering process is performed on the enlarged data array, a satisfactory processing result is not obtained. As described above, the conventional filter processing on the enlarged data array has a problem in that good processing results cannot be obtained. Therefore, an object of the present invention is to provide a filter processing method, a filter processing apparatus, an MRI apparatus, and software capable of performing good filter processing on an enlarged data array.

[0009]

According to a first aspect of the present invention, there is provided a filtering method for an expanded data array in which the number of data is expanded by adding interpolation data between the original data of the original data array. The data is rearranged so that the original data and the interpolated data in the data array are separated from each other, and a filter process is performed on the rearranged enlarged data array. A filtering method characterized by restoring to a position is provided. In the conventional filter processing, since the filter processing is performed on the original data and the interpolated data that are located evenly and intermingled, it is considered that a good filter processing result cannot be obtained due to the side effect of the interpolated data. Can be On the other hand, in the filtering method according to the first aspect, the data is rearranged so that the original data and the interpolated data are individually gathered and located, and the filtering process is performed on the data. Then, since the original data and the interpolation data do not intersect, the filter processing result becomes good. Then, after the filter processing, the data is returned to the original position, so that an enlarged data array subjected to good filter processing is obtained.

In a second aspect, the present invention is a filter processing method for an expanded data array in which the number of data is expanded by adding interpolation data between the original data of the original data array,
When an integer value close to the size ratio R of the enlarged data array with respect to the original data array is represented by I, the data is rearranged so as to be grouped for every (I-1) data, and the rearranged enlarged data array is arranged. Performs filtering on
A filter processing method is provided, which restores the data of the filtered enlarged data array to the original position. In the conventional filter processing, since the filter processing is performed on the original data and the interpolated data that are located evenly and intermingled, it is considered that a good filter processing result cannot be obtained due to the side effect of the interpolated data. Can be On the other hand, in the filtering method according to the second aspect, the data is rearranged so that the probability that the original data and the interpolated data are individually gathered and collected is high, and the filtering process is performed on the data. Execute. Then, since the original data and the interpolation data do not intersect, the filter processing result becomes good. Then, after the filter processing, the data is returned to the original position, so that an enlarged data array subjected to good filter processing is obtained.

According to a third aspect of the present invention, in the filter processing method having the above-described configuration, data is not rearranged if the size ratio of the expanded data array to the original data array is 1.7 or less. Provide a processing method. According to the knowledge of the inventor of the present invention, when the size ratio of the enlarged data array to the original data array is 1.7 or less, no particular difference from the conventional filtering method is obtained. Therefore, in the filter processing method according to the third aspect, when the size ratio of the enlarged data array to the original data array is 1.7 or less, the data is not rearranged, and the processing load of rearrangement and restoration is avoided.

According to a fourth aspect of the present invention, in the filter processing method having the above structure, the original data array and the enlarged data array are two-dimensional arrays, and the size ratio Rx of the enlarged data array to the original data array in the x-direction. And the integer ratios Ix and Iy close to the size ratio Ry in the y direction are obtained, and the data is rearranged so as to be grouped for every (Ix−1) data in the x direction of the enlarged data array, or y. The data is rearranged so as to be grouped for each data located at intervals of (Iy-1) in the direction, and then (Iy-1) in the y direction.
y-1) rearrange the data so as to be grouped every data located at intervals, or rearrange the data so as to aggregate every data located at (Ix-1) intervals in the x direction;
A filter processing method is provided in which a filter process is performed on the rearranged enlarged data array and the data of the filtered enlarged data array is restored to the original position. In the filter processing method according to the fourth aspect, when the enlarged data array is a two-dimensional array, an enlarged data array that has been subjected to favorable filter processing can be obtained. That is, good filtering can be performed on the image data.

According to a fifth aspect of the present invention, in the filter processing method having the above structure, the original data array and the enlarged data array are three-dimensional arrays, and the size ratio Rx of the enlarged data array to the original data array in the x direction is , The size ratio Ry in the y direction and the size ratio Rz in the z direction, and integer ratios Ix, Iy, and Iz close to each other, are calculated for each (Ix−1) data in the x direction in the enlarged data array. The data is rearranged so as to be grouped, then the data is rearranged so as to be grouped for every (Iy-1) data in the y direction, and then (Iz-1) in the z direction of the enlarged data array. The data is rearranged so as to be grouped for each of the data located at discrete intervals, a filter process is performed on the rearranged enlarged data array, and the filtered enlarged data array is processed. To provide a filter processing method characterized by restoring the over data to the original position. In the filter processing method according to the fifth aspect, when the enlarged data array is a three-dimensional array, an enlarged data array that has been subjected to favorable filtering can be obtained. That is, good filtering can be performed on the volume data.

According to a sixth aspect, the present invention is a filter processing apparatus for an expanded data array in which the number of data is expanded by adding interpolation data between the original data of the original data array,
Data rearranging means for rearranging data so that the original data and the interpolated data in the original data array are separated and collected, filter processing executing means for executing filter processing on the rearranged enlarged data array, and filter processing And a data array restoring means for restoring the data array of the enlarged data array. In the filter processing device according to the sixth aspect, the filter processing method according to the first aspect can be suitably implemented.

According to a seventh aspect of the present invention, there is provided a filter processing apparatus for performing a filtering process on an expanded data array in which the number of data is expanded by adding interpolation data between the original data of the original data array, An array size ratio obtaining means for obtaining a size ratio of the enlarged data array to the data array, and an integer ratio obtaining means for obtaining an integer ratio I based on the size ratio;
(I-1) Data rearrangement means for rearranging data so as to be grouped for every data positioned at intervals, filter processing execution means for executing filter processing on the rearranged enlarged data array, and filter processing There is provided a filter processing device comprising: a data array restoring unit for restoring an array of data of an enlarged data array. The filter processing device according to the seventh aspect can suitably implement the filter processing method according to the second aspect.

According to an eighth aspect of the present invention, in the filter processing apparatus having the above structure, when the size ratio of the expanded data array to the original data array is 1.7 or less, the filter processing execution means may execute the original expanded data processing. Provided is a filter processing device that performs a filter process on an array. In the filter processing device according to the eighth aspect,
The filter processing method according to the second aspect can be suitably implemented.

According to a ninth aspect of the present invention, in the filter processing apparatus having the above structure, when the original data array and the enlarged data array are two-dimensional arrays, the size ratio of the enlarged data array to the original data array in the x direction is An array size ratio obtaining means for obtaining a size ratio Ry in the Rx and y directions, and an integer ratio Ix and Iy close to the size ratio Rx in the x direction of the enlarged data array with respect to the original data array and the size ratio Ry in the y direction. The obtained integer ratio obtaining means and the data are rearranged so as to be grouped for each data located at (Ix-1) intervals in the x direction of the enlarged data array, and are then located at (Iy-1) intervals in the y direction. A data rearrangement means for rearranging data so as to be grouped for each data, and a filter for executing a filter process on the rearranged enlarged data array Provides a process execution means, the filtering apparatus characterized by comprising a data sequence restoring means to restore the sequence of data of the enlarged data sequences filtering. The filter processing device according to the ninth aspect can suitably implement the filter processing method according to the fourth aspect.

According to a tenth aspect, the present invention provides the filter processing apparatus having the above-described configuration, wherein when the original data array and the enlarged data array are three-dimensional arrays, the size ratio of the enlarged data array to the original data array in the x-direction. Rx, y
Array size ratio obtaining means for obtaining a size ratio Ry in the direction and a size ratio Rz in the z direction; a size ratio Rx in the x direction of the enlarged data array with respect to the original data array; a size ratio Ry in the y direction; An integer ratio obtaining means for obtaining integer ratios Ix, Iy, and Iz close to the size ratio Rz of the above, and rearranging the data so as to be grouped for every (Ix-1) data in the x direction of the enlarged data array Next, the data is rearranged so as to be arranged in units of (Iy-1) steps in the y direction, and then the data is arranged in units of (Iz-1) units in the z direction. Data rearranging means for rearranging the expanded data array, filter processing executing means for executing a filtering process on the rearranged enlarged data array, To provide a filter processing apparatus characterized by comprising a data sequence restoring means to restore the sequence of data of data array. The filter processing device according to the tenth aspect can suitably implement the filter processing method according to the fifth aspect.

According to an eleventh aspect, the present invention provides an MRI apparatus comprising the above-configured filter processing apparatus. In the MRI apparatus according to the eleventh aspect, good filtering can be performed on MR image data and MR volume data.

According to a twelfth aspect, the present invention is software for performing filter processing on an expanded data array in which the number of data is expanded by adding interpolation data between the original data of the original data array, A step of obtaining an integer value I close to the size ratio R of the enlarged data array with respect to the original data array; a step of rearranging the data so as to be grouped for every (I-1) data pieces; Software that includes a step of executing a filtering process on a data array and a step of restoring the data array of the enlarged data array subjected to the filtering process. With the software according to the twelfth aspect, the filter processing method according to the second aspect can be suitably implemented.

[0021]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in more detail with reference to the embodiments shown in the drawings. Note that the present invention is not limited by this.

First Embodiment FIG. 1 is a block diagram showing an MRI apparatus according to a first embodiment of the present invention. In the MRI apparatus 100, the magnet assembly 1 has a space (bore) for inserting a subject therein, and a static magnetic field for applying a constant static magnetic field to the subject so as to surround the space. Coil 1p and gradient magnetic field of X axis, Y axis, Z axis (X axis,
A gradient magnetic field coil 1g for generating a slice gradient axis, a read gradient axis, and a phase encoding gradient axis by a combination of the Y axis and the Z axis), and an RF pulse for exciting spins of nuclei in the subject. Transmit coil 1 that gives
t and a receiving coil 1 for detecting an NMR signal from the subject
r are arranged. The static magnetic field coil 1p, the gradient magnetic field coil 1g, the transmission coil 1t, and the reception coil 1r
Are the static magnetic field power supply 2, the gradient magnetic field drive circuit 3, and the RF
It is connected to a power amplifier 4 and a preamplifier 5.

The sequence storage circuit 6 operates the gradient magnetic field drive circuit 3 based on the stored pulse sequence in accordance with a command from the computer 7 to generate a gradient magnetic field from the gradient magnetic field coil 1g of the magnet assembly 1 and , The gate modulation circuit 8 is operated to modulate the carrier output signal of the RF oscillation circuit 9 into a pulse signal having a predetermined timing and a predetermined envelope shape, which is added to the RF power amplifier 4 as an RF pulse. After power amplification,
This is applied to the transmission coil 1t of the magnet assembly 1 to selectively excite a desired imaging surface.

The preamplifier 5 includes a magnet assembly 1
, And amplifies the NMR signal from the subject detected by the receiving coil 1 r and inputs the amplified signal to the phase detector 10. Phase detector 10
Uses the carrier output signal of the RF oscillation circuit 9 as a reference signal,
Phase detection of the NMR signal from the preamplifier 5 and A / D
It is given to the converter 11. The A / D converter 11 converts the analog signal after phase detection into digital data,
To enter.

The computer 7 reads digital data from the A / D converter 11 and performs an image reconstruction operation to generate an original data array of, for example, an MR image having a matrix size of 256 × 256. Also, the computer 7 performs an interpolation process on the original data array, and for example, a matrix size of 512 × 5
Storage device 1 in unified data array of 12 MR images
3 is stored. Further, the computer 7 performs a filtering process on the enlarged data array. Further, the computer 7 is responsible for overall control such as receiving information input from the operation console 12. The display device 14 displays an MR image or the like on which the filtering process has been performed.

FIGS. 2 and 3 show the MRI apparatus 100.
3 is a flowchart of a filtering process according to the first embodiment. Note that the matrix size 15 × shown in FIG.
Description will be made assuming 15 enlarged data arrays. The original data array on which the enlarged data array is based has a matrix size of 8 × 8. In FIG. 4, black circles represent original data, and white circles represent interpolation data.

In step P1, an x-direction size ratio Rx and a y-direction size ratio Ry of the enlarged data array with respect to the original data array are determined. In the example of FIG. 4, Rx = 1.875,
Ry = 1.875. In Step P2, it is checked whether or not the x-direction size ratio Rx ≦ 1.7. If Rx> 1.7, the process proceeds to Step P3, and if Rx ≦ 1.7, the process proceeds to Step P5.
Proceed to. In the example of FIG. 4, since Rx = 1.875, the process proceeds to Step P3. In step P3, the x-direction size ratio R
Find an integer value Ix close to x. In the example of FIG. 4, Rx =
Since it is 1.875, it is rounded off to obtain Ix = 2. In Step P4, the data of the enlarged data array is rearranged so as to be grouped for each data located at (Ix-1) intervals in the x direction. In the example of FIG. 4, the data is rearranged in the x direction so as to be grouped for each piece of data positioned one by one in the x direction to obtain the enlarged data array of FIG. 5.

In step P5, the y-direction size ratio Ry ≦
Check if 1.7 or not, and if Ry> 1.7, step P
The process proceeds to step P6, and if Ry ≦ 1.7, the process proceeds to step P11. In the example of FIG. 4, since Ry = 1.875, the process proceeds to Step P6. In Step P6, an integer value Iy close to the y-direction size ratio Ry is obtained. In the example of FIG. 4, since Ry = 1.875, it is rounded off to obtain Iy = 2. In Step P7, the data of the enlarged data array is rearranged so as to be grouped for each data located at (Iy-1) intervals in the y direction.
In the example of FIG. 5, the data is rearranged in the y direction so as to be grouped for each piece of data positioned one by one in the y direction, and the enlarged data array of FIG. 6 is obtained.

In step P11, a filtering process is performed on the enlarged data array. In the example of FIG. 4, the filtering process is performed on the enlarged data array of FIG. 6 to obtain the enlarged data array of FIG. In FIG. 7, black squares represent original data after the filter processing, and white squares represent interpolation data after the filter processing.

In step P23 of FIG. 3, it is checked whether or not the y-direction size ratio Ry ≦ 1.7. If Ry> 1.7, the process proceeds to step P24. If Ry ≦ 1.7, the process proceeds to step P25.
Proceed to. In the example of FIG. 4, since Ry = 1.875, the process proceeds to Step P24. In Step P24, the data rearranged in the y direction is restored. In the example of FIG. 7, the position in the y direction is restored as shown in FIG.

In step P25, the x-direction size ratio Rx
It is checked whether .ltoreq.1.7. If Rx> 1.7, the process proceeds to Step P26, and if Rx.ltoreq.1.7, the process ends. In Step P26, the data rearranged in the x direction is restored. In the example of FIG. 8, the position in the x direction is restored as shown in FIG. Then, the process ends.

The principle of the present invention will be described with reference to FIGS. For simplicity of description, the data array is 1
It is assumed that the filter processing is a dimensional array and the filter processing is a smoothing processing. As shown in FIG. 10, in the enlarged data array, black circle original data alternately takes values L and H, and white circle interpolation data having their average value is added to an intermediate position between adjacent original data. . In this example, the size ratio R =
1.875. FIG. 11 is an enlarged data array obtained by rearranging the data of the enlarged data array of FIG. I = 2, and one-step data, that is, odd-numbered data and even-numbered data are rearranged so as to be separately collected. FIG. 12 shows that, when adjacent data exists on only one side of the data to be smoothed in the enlarged data array of FIG. 11, the data to be smoothed is weighted by 0.5 and the weight of the adjacent data is 0.5. Is multiplied, and if there is adjacent data on both sides of the data to be smoothed, the data to be smoothed is weighted by 0.5 and the adjacent data is each multiplied by 0.2.
6 is an enlarged data array obtained as a result of performing a smoothing process of taking a value obtained by multiplying by a weight of 5; FIG. 13 shows an enlarged data array obtained by restoring data to the original position, that is, an enlarged data array obtained by performing the filtering process of the present invention.

Comparing FIG. 13 according to the present invention with FIG. 23 according to the related art, it will be understood that the present invention can perform the filtering process better than the related art.

The principle of the present invention will be further described with reference to FIGS. For the sake of simplicity, the description will be made on the assumption that the data array is a one-dimensional array and the filtering process is a smoothing process. As shown in FIG. 14, in the enlarged data array, original data of a black circle alternately takes a value L and a value H, and two interpolation data of a white circle and a white oval are added between adjacent original data. . In this example, the size ratio R = 2.75. FIG. 15 is an enlarged data array obtained by rearranging the data of the enlarged data array of FIG. I = 3, and data is rearranged so that data at two intervals are separately collected. FIG. 16 shows a case where adjacent data exists on only one side of the data to be smoothed with respect to the enlarged data array of FIG.
A value obtained by multiplying the data to be smoothed by a weight of 0.5 and the adjacent data by a weight of 0.5 is obtained, and when there is adjacent data on both sides of the data to be smoothed, 0 is added to the data to be smoothed. 0.5 and 0.5 for each adjacent data.
25 is an enlarged data array obtained as a result of performing a smoothing process of taking a value obtained by multiplying by 25 and adding. FIG. 16 shows an enlarged data array obtained by restoring data to the original position, that is, an enlarged data array obtained by performing the filtering process of the present invention.

14 to 17 show that the size ratio R is 2.5 to 2.5.
It will be understood that filtering can be performed well even in the case of 3.4. The same applies to the case of a size ratio R larger than that.

According to the MRI apparatus 100, it is possible to satisfactorily perform a filtering process on an MR image in which the matrix size is enlarged by adding interpolation data, thereby improving the image quality.

Second Embodiment FIGS. 18 and 19
9 is a flowchart of a filtering process according to the second embodiment by the MRI apparatus 100. In step P1, the x-direction size ratio Rx, the y-direction size ratio Ry, and the z-direction size ratio R of the enlarged data array with respect to the original data array
Find z. In step P2, the x-direction size ratio Rx ≦
Check if 1.7 or not, and if Rx> 1.7, go to Step P
The process proceeds to step P3, and if Rx ≦ 1.7, the process proceeds to step P5. In Step P3, an integer value Ix close to the x-direction size ratio Rx is obtained. In Step P4, the data of the enlarged data array is rearranged so as to be grouped for each data located at (Ix-1) intervals in the x direction.

In step P5, the y-direction size ratio Ry ≦
Check if 1.7 or not, and if Ry> 1.7, step P
The process proceeds to step P6, and if Ry ≦ 1.7, the process proceeds to step P8. In Step P6, an integer value Iy close to the y-direction size ratio Ry is obtained. In Step P7, the data of the enlarged data array is rearranged so as to be grouped for each data located at (Iy-1) intervals in the y direction.

In step P8, the z-direction size ratio Rz ≦
Check if 1.7 or not, and if Rz> 1.7, step P
The process proceeds to Step P9, and if Rz ≦ 1.7, the process proceeds to Step P11. In Step P9, an integer value Iz close to the z-direction size ratio Rz
Ask for. In Step P10, (Iz-1) in the z direction
The data of the enlarged data array is rearranged so as to be grouped for each piece of data located at intervals.

For example, when steps P4, P7, and P10 are performed on the three-dimensional enlarged data array shown in FIG. 20, the original data (black circles) and the interpolation data (white circles) are separated as shown in FIG. The enlarged data array is rearranged so as to be united.

In step P11, a filtering process is performed on the enlarged data array.

In step P21 of FIG. 19, it is checked whether or not the z-direction size ratio Rz ≦ 1.7. If Rz> 1.7, the process proceeds to step P22. If Rz ≦ 1.7, the process proceeds to step P2.
Proceed to 3. In Step P23, the y-direction size ratio Ry ≦
Check if 1.7 or not, and if Ry> 1.7, step P
Proceed to Step P24, and if Ry ≦ 1.7, proceed to Step P25.
In Step P24, the data rearranged in the y direction is restored.

In step P25, the x-direction size ratio Rx
It is checked whether .ltoreq.1.7. If Rx> 1.7, the process proceeds to Step P26, and if Rx.ltoreq.1.7, the process ends. In Step P26, the data rearranged in the x direction is restored. Then, the process ends.

As described above, the present invention can be applied to a case where the enlarged data array is a three-dimensional array.

[0045]

According to the filter processing method, the filter processing apparatus, the MRI apparatus and the software of the present invention, it is possible to satisfactorily perform filter processing even on an enlarged data array in which the array size is increased by adding interpolation data. I can do it.

[Brief description of the drawings]

FIG. 1 is a block diagram of an MRI apparatus according to a first embodiment of the present invention.

FIG. 2 is a flowchart of a filtering process according to the first embodiment of the present invention.

FIG. 3 is a flowchart continued from FIG. 2;

FIG. 4 is a view showing an example of a two-dimensional enlarged data array.

FIG. 5 is an illustration of an enlarged data array rearranged in the x direction.

FIG. 6 is an illustration of an enlarged data array rearranged in the y direction.

FIG. 7 is a view showing an example of an enlarged data array after performing a filter process on the rearranged enlarged data array;

FIG. 8 is a view showing an example of an enlarged data array after filter processing in which the position of data in the y direction is restored.

FIG. 9 is a view showing an example of an enlarged data array after filter processing in which the position of data in the x direction is restored.

FIG. 10 is an illustration of an enlarged data array in which one piece of interpolation data is added between original data.

11 is a view showing an example of the rearranged enlarged data array of FIG. 10;

12 is an exemplary diagram of an enlarged data array obtained by executing a smoothing process on the enlarged data array of FIG. 11;

13 is an exemplary diagram of an enlarged data array obtained by restoring the position of the data in FIG.

FIG. 14 is an illustration of an enlarged data array in which two pieces of interpolation data are added between original data.

FIG. 15 is an exemplary view of the rearranged enlarged data array of FIG. 14;

16 is an illustration of an enlarged data array obtained by performing a smoothing process on the enlarged data array of FIG. 15;

17 is an exemplary diagram of an enlarged data array obtained by restoring the position of the data in FIG. 16;

FIG. 18 is a block diagram of an MRI apparatus according to a second embodiment of the present invention.

FIG. 19 is a flowchart of a filtering process according to the second embodiment of the present invention.

FIG. 20 is a schematic diagram showing an enlarged data array of a three-dimensional array.

FIG. 21 is a schematic diagram showing an enlarged data array of a rearranged three-dimensional array.

FIG. 22 is a view showing an example of a two-dimensional original data array.

FIG. 23 is an illustration of an enlarged data array in which one piece of interpolation data is added between the original data of FIG. 22;

24 is an exemplary diagram of an enlarged data array obtained by executing a filter process on the enlarged data array of FIG. 23;

FIG. 25 is a view showing an example of a one-dimensional original data array.

26 is an illustration of an enlarged data array in which one piece of interpolation data is added between the original data of FIG. 25;

FIG. 27 is a view showing an example of an enlarged data array obtained by executing a filter process on the enlarged data array of FIG. 26;

FIG. 28 is a view showing an example of an original data array obtained by executing a filtering process on the original data array of FIG. 25;

[Explanation of symbols]

 7 computer 13 storage device 100 MRI device

──────────────────────────────────────────────────続 き Continued on the front page (51) Int.Cl. ⁷ Identification symbol FI Theme coat ゛ (Reference) H04N 1/393 G01N 24/02 530G (72) Inventor Tetsuo Ogino 127, 4-7-1 Asahigaoka, Hino-shi, Tokyo GE Yokogawa Medical Systems Corporation F-term (reference) 4C096 AB50 AD12 DA08 DA14 5B057 CA08 CA12 CA16 CB08 CB12 CB16 CC01 CD06 CE06 CH09 5C076 AA21 AA40 BA07 BB04 BB13

Claims (12)

[Claims] 1. A filter processing method for an expanded data array in which interpolation data is added between original data in an original data array to increase the number of data, wherein the original data and the interpolation data in the original data array are separately collected. A filter processing method comprising rearranging data as described above, executing filter processing on the rearranged enlarged data array, and restoring the data of the filtered enlarged data array to the original position. 2. A filtering method for an enlarged data array in which the number of data is enlarged by adding interpolation data between original data of the original data array, wherein the integer value is close to a size ratio R of the enlarged data array to the original data array. Is I,
(I-1) The data is rearranged so as to be grouped for each piece of data positioned at intervals, a filter process is performed on the rearranged enlarged data array, and the data of the filtered enlarged data array is returned to the original data. A filtering method characterized by restoring to a position. 3. The filtering method according to claim 2, wherein if the size ratio of the enlarged data array to the original data array is 1.7 or less, no data rearrangement is performed. 4. The filter processing method according to claim 2, wherein the original data array and the enlarged data array are two-dimensional arrays, and the size ratio Rx of the enlarged data array in the x direction with respect to the original data array is The integer ratios Ix and Iy that are close to the size ratio Ry in the y direction are obtained, and the data is rearranged so as to be grouped for every (Ix−1) data in the x direction of the enlarged data array, and then y The data is rearranged so as to be grouped for each data located at intervals of (Iy-1) in the direction, a filter process is performed on the rearranged enlarged data array, and the data of the filtered enlarged data array is processed. A filtering method characterized by restoring to the original position. 5. The filter processing method according to claim 2, wherein the original data array and the enlarged data array are three-dimensional arrays, and the size ratio Rx of the enlarged data array in the x direction with respect to the original data array is Size ratio Ry in the y direction and size ratio Rz in the z direction
And the integer ratios Ix, Iy, and Iz close to and are rearranged so as to be grouped at every (Ix-1) data in the x direction of the enlarged data array, and then (Iy in the y direction). -1) The data is rearranged so as to be grouped for each data located at intervals, and then the data is rearranged so as to be aggregated at every (Iz-1) data located in the z direction in the enlarged data array. And performing a filter process on the rearranged enlarged data array, and restoring the filtered enlarged data array data to its original position. 6. A filter processing apparatus for an expanded data array in which interpolation data is added between original data in an original data array to increase the number of data, wherein the original data and the interpolated data in the original data array are separately collected. Rearrangement means for rearranging data, filter processing execution means for performing filter processing on the rearranged enlarged data array, and data array restoration for restoring the data array of the filtered enlarged data array And a filter processing device. 7. A filter processing apparatus for performing a filtering process on an enlarged data array in which the number of data is enlarged by adding interpolation data between original data of the original data array, the size of the enlarged data array with respect to the original data array An array size ratio obtaining means for obtaining a ratio, and an integer ratio I based on the size ratio.
, A data rearrangement means for rearranging data so as to be grouped for every (I-1) data, and a filter for executing filter processing on the rearranged enlarged data array A filter processing apparatus comprising: a processing executing unit; and a data array restoring unit that restores an array of data of the enlarged data array subjected to the filtering. 8. The filter processing device according to claim 7, wherein when the size ratio of the enlarged data array to the original data array is 1.7 or less, the filter processing execution means performs filtering on the original enlarged data array. A filter processing device that performs a process. 9. The filter processing device according to claim 7, wherein when the original data array and the enlarged data array are two-dimensional arrays, a size ratio Rx of the enlarged data array to the original data array in the x direction. And an array size ratio obtaining means for obtaining a size ratio Ry in the y direction and a size ratio Rx in the x direction of the enlarged data array with respect to the original data array and a size ratio Ry in the y direction.
Integer ratio obtaining means for obtaining an integer ratio Ix and Iy close to
The data is rearranged so as to be grouped for each data located at (Ix-1) intervals in the x direction of the enlarged data array, and then arranged for each data located at (Iy-1) intervals in the y direction. Data rearrangement means for rearranging data, filter processing execution means for performing filter processing on the rearranged enlarged data array, and data array restoration means for restoring the data array of the filtered enlarged data array A filter processing device comprising: 10. The filter processing device according to claim 7, wherein when the original data array and the enlarged data array are three-dimensional arrays, a size ratio Rx of the enlarged data array to the original data array in the x direction. , An array size ratio obtaining means for obtaining a size ratio Ry in the y direction and a size ratio Rz in the z direction, and a size ratio R in the x direction of the enlarged data array with respect to the original data array.
integer ratio obtaining means for obtaining integer ratios Ix, Iy, and Iz close to the size ratio Ry in the x and y directions and the size ratio Rz in the z direction; and (I) in the x direction of the enlarged data array.
The data is rearranged so as to be arranged for each data located at (x-1) intervals, and then rearranged so as to be arranged at each (Iy-1) data in the y direction. Data rearranging means for rearranging data so as to be grouped for each of data located at intervals of (Iz-1) in the direction, filter processing executing means for executing filter processing on the rearranged enlarged data array, A filter processing device comprising: a data array restoring unit that restores the data array of the enlarged data array subjected to the filter processing. 11. A filter comprising the filter processing device according to claim 6. Description:
RI equipment. 12. Software for performing a filtering process on an enlarged data array in which the number of data is enlarged by adding interpolation data between the original data of the original data array, wherein A step of obtaining an integer value I close to the size ratio R; a step of rearranging the data so as to be grouped for each (I-1) data; and a filtering process on the rearranged enlarged data array Executing software and restoring the data array of the filtered enlarged data array.