JPH07282291A - Three-dimensional functional image generating method and three-dimensional measurement analyzing method in medical image diagnostic device, and medical image diagnostic device - Google Patents

Abstract

PURPOSE:To generate a three-dimensional functional image wherein the distribution of blow flow velocities of the whole internal organs, etc., can visually be recognized. CONSTITUTION:Two-dimensional CT value image acquisition processing is performed, and a photography area is photographed with plural nearly parallel sectional planes to obtain plural two-dimensional CT value images (step T1). Three-dimensional functional model acquisition processing is performed and a three-dimensional functional model is obtained on the basis of the said two-dimensional CT value images (step T2). Then a three-dimensional image obtained by viewing the said three-dimensional functional model from a view point that an operator specifies is obtained (step T3). The obtained three-dimensional functional image is displayed on a CRT 6 (step T4).

Description

Detailed Description of the Invention

[0001]

This invention relates to a CT (Computer Tomogr
The present invention relates to a three-dimensional functional image creating method, a three-dimensional quantitative analysis method, and a medical image diagnostic apparatus in a medical image diagnostic apparatus such as aphy) and MRI (Magnetic Resonance Imaging). More specifically, a three-dimensional functional image that creates a three-dimensional functional image in which predetermined parameters are made into a three-dimensional image based on a plurality of two-dimensional images obtained by photographing an imaging region on a plurality of substantially parallel tomographic planes. The present invention relates to a creating method and a three-dimensional quantitative analysis method for measuring a three-dimensional distribution of predetermined parameters based on the two-dimensional image, and a medical image diagnostic apparatus for carrying out the three-dimensional functional image creating method or the three-dimensional quantitative analysis method.

[0002]

2. Description of the Related Art FIG. 27 is a flowchart showing a two-dimensional functional imaging process in a conventional CT apparatus. At step J1, a contrast medium is injected into the subject or xenon gas is inhaled. In step J2, the operator determines the position of the slice S for imaging the subject H, as shown in FIG. In Step J3, the slice S is photographed a plurality of times at time intervals,
Acquiring a plurality of two-dimensional CT value images. FIG. 29 exemplifies two-dimensional CT value images t1, ..., T5 acquired by photographing at time intervals. In the two-dimensional CT value images t1, ..., T5, time has elapsed in this order. At step J4, each two-dimensional CT value image t1,
..., t5 is divided into a plurality of divided areas. FIG. 30 illustrates a state in which the two-dimensional CT value image t3 is divided into divided areas. R (5,1), R (4,3), R (2,4) are divided areas, respectively. In step J5, each two-dimensional C
The CT value of each divided area of the T-value image is measured. The contrast agent and xenon gas are carried by the bloodstream and spread inside the body of the subject H. In the portion where the blood flow is fast, the contrast agent and the xenon gas are transported quickly, so that the CT value becomes high from an early time. On the other hand, in the part where the blood flow is slow, the contrast agent and the xenon gas are carried late, so that the CT value does not increase until a later time.

At step J6, a graph (Roy plot) of the time change of the CT value of the same section area of each two-dimensional CT value image is obtained. FIG. 31 shows a sectional area R (5,
1), R (4,3), and R (2,4) are graphs (solid line, two-dot chain line, one-dot chain line) showing changes over time in CT values. At step J7, several characteristic parameter values are read from each graph. For example, the CT value of the peak (peak CT value) and the time at which the peak occurs (peak time) are read from each graph. Then, the read parameter value is converted into a pixel value, and processing such as smoothing is performed to create a two-dimensional functional image. Figure 3
2 illustrates a two-dimensional functional image of the peak CT value. Further, FIG. 33 shows that the peak time is 2
3 illustrates a three-dimensional functional image. Step J
At 8, the created two-dimensional functional image is displayed.

[0004]

In the two-dimensional functional imaging described above, it was possible to examine the distribution of blood flow velocity on a certain tomographic plane. However, in order to investigate the distribution of blood flow velocity in the whole organ, it is necessary to observe a two-dimensional functional image of a large number of tomographic planes and imagine a three-dimensional state. there were. Therefore, the first object of the present invention is to
It is an object of the present invention to provide a three-dimensional functional image creating method that allows the distribution of blood flow velocity in the entire organ to be visually recognized. A second object of the present invention is to use the 3D functional image to
It is to provide a three-dimensional quantitative analysis method for performing a three-dimensional quantitative analysis. Further, a third object of the present invention is to provide a medical image diagnostic apparatus for carrying out the three-dimensional functional image creating method and the three-dimensional quantitative analysis method.

[0005]

According to a first aspect of the present invention, there is provided a two-dimensional image acquisition step of acquiring a plurality of two-dimensional images by imaging a photographing region on a plurality of substantially parallel tomographic planes. And a three-dimensional functional image acquiring step for acquiring a three-dimensional functional model based on the two-dimensional image, and a three-dimensional functional image acquiring step for acquiring a three-dimensional functional image based on the three-dimensional functional model. A method for creating a three-dimensional functional image in a medical image diagnostic apparatus characterized by having.

According to a second aspect of the present invention, in the three-dimensional functional image creating method, the three-dimensional functional model obtaining step generates a three-dimensional model based on a plurality of two-dimensional images, and A part of a predetermined voxel value range is extracted from the dimensional model, or a part of a plurality of different voxel value ranges is extracted at the same time.
A three-dimensional functional image creation method characterized by generating a three-dimensional functional model.

According to a third aspect of the present invention, in the above-mentioned three-dimensional functional image creating method, the three-dimensional functional model acquiring step generates a three-dimensional model based on a plurality of two-dimensional images. Only the voxel value regions equal to or greater than the first threshold value and equal to or less than the first threshold value are extracted from the dimensional model to generate the first three-dimensional volume data, and the second threshold value (> first threshold value) or more or the second threshold value (<first Only the voxel value region equal to or less than the threshold value) is extracted to generate the second three-dimensional volume data, and the first three-dimensional volume data is calculated from the difference between the first and second three-dimensional volume data.
There is provided a three-dimensional functional image creating method characterized by generating a three-dimensional functional model of a voxel value range portion sandwiched between a threshold value and the second threshold value. According to a fourth aspect of the present invention, in the above-described method for creating a three-dimensional functional image, three-dimensional functional models for portions of a plurality of different voxel value ranges are respectively generated and then combined to generate a plurality of different voxel values. A method for creating a three-dimensional functional image, characterized in that a three-dimensional functional model including a range portion is generated.

According to a fifth aspect of the present invention, in the above-described method for creating a three-dimensional functional image, the three-dimensional functional model obtaining step generates a plurality of two-dimensional functional images based on the plurality of two-dimensional images. Then, a three-dimensional functional image creating method is provided, which is characterized by generating a three-dimensional functional model based on the plurality of two-dimensional functional images.

In a sixth aspect, the present invention provides a three-dimensional quantitative analysis method characterized by performing a three-dimensional quantitative analysis based on a three-dimensional functional model obtained by the above three-dimensional functional image creating method. To do.

In a seventh aspect, the present invention is based on a two-dimensional image acquisition step of acquiring a plurality of two-dimensional images by imaging a photographing region on a plurality of substantially parallel tomographic planes. A two-dimensional functional image acquisition step of acquiring a plurality of two-dimensional functional images; a two-dimensional quantitative analysis step of performing a two-dimensional quantitative analysis for each of the plurality of two-dimensional functional images; And a metric analysis result synthesizing step of synthesizing the results to obtain the result of the three-dimensional metric analysis.

According to an eighth aspect, the present invention is based on a two-dimensional image acquiring means for acquiring a plurality of two-dimensional images by photographing a photographing region on a plurality of substantially parallel tomographic planes. A three-dimensional functional model acquiring means for acquiring a three-dimensional functional model,
A three-dimensional functional image acquisition means for acquiring a three-dimensional functional image based on a three-dimensional functional model is provided.

According to a ninth aspect, the present invention is based on a two-dimensional image acquisition means for acquiring a plurality of two-dimensional images by imaging a photographing region on a plurality of substantially parallel tomographic planes. A three-dimensional functional model acquiring means for acquiring a three-dimensional functional model,
There is provided a medical image diagnostic apparatus comprising: a three-dimensional quantitative analysis means for performing a three-dimensional quantitative analysis based on a three-dimensional functional model.

According to a tenth aspect, the present invention provides a two-dimensional image acquiring means for acquiring a plurality of two-dimensional images by photographing a photographing region on a plurality of substantially parallel tomographic planes, and the plurality of two-dimensional image acquiring means.
A two-dimensional functional image acquisition means for acquiring a plurality of two-dimensional functional images based on a two-dimensional image; a two-dimensional quantitative analysis means for performing a two-dimensional quantitative analysis on each of the plurality of two-dimensional functional images; There is provided a medical image diagnostic apparatus comprising: a metric analysis result synthesizing means for synthesizing a dimensional metric analysis result to obtain a three-dimensional metric analysis result.

[0014]

In the three-dimensional functional image creating method according to the first aspect and the medical image diagnostic apparatus according to the eighth aspect, the two or more two-dimensional images are acquired by photographing the photographing area on the plurality of substantially parallel tomographic planes. Then, a three-dimensional functional model is acquired based on the plurality of two-dimensional images, and a three-dimensional functional image is acquired based on the three-dimensional functional model. Therefore, it becomes possible to visually recognize the distribution of the blood flow velocity in the entire organ.

In the three-dimensional functional image creating method according to the second aspect, a three-dimensional model is created based on a plurality of two-dimensional images, and a part within a predetermined voxel value range is extracted from the three-dimensional model. Alternatively, a part of a plurality of different voxel value ranges is simultaneously extracted to generate a three-dimensional functional model. Thereby, it becomes possible to generate a three-dimensional functional model using the three-dimensional model.

In the three-dimensional functional image creating method according to the third aspect, a three-dimensional model is created based on a plurality of two-dimensional images, and voxel values equal to or greater than the first threshold value and equal to or less than the first threshold value are generated from the three-dimensional model. Only the region is extracted to generate the first three-dimensional volume data, and only the voxel value region equal to or more than the second threshold (> first threshold) or less than the second threshold (<first threshold) is extracted to extract the second 3D volume data is generated, and the first and second 3
A three-dimensional functional model for the voxel value range portion sandwiched between the first threshold value and the second threshold value is generated from the difference between the three-dimensional volume data. In addition, in the three-dimensional functional image creating method according to the fourth aspect, after the three-dimensional functional models for a plurality of different voxel value range portions are respectively generated and then combined, a plurality of different voxel value range portions are generated. Generate a three-dimensional functional model including. This makes it possible to generate a three-dimensional functional model using the three-dimensional volume data.

In the three-dimensional functional image creating method according to the fifth aspect, a plurality of two-dimensional functional images are generated based on the plurality of two-dimensional images, and the plurality of two-dimensional functional images are generated based on the plurality of two-dimensional functional images. Generate a three-dimensional functional model. This makes it possible to use 3D using a 2D functional image.
It becomes possible to generate a dimensional functional model.

In the three-dimensional metric analysis method according to the sixth aspect and the medical image diagnostic apparatus according to the ninth aspect, the three-dimensional metric is based on the three-dimensional functional model obtained by the three-dimensional functional image creating method. Perform an analysis. This enables three-dimensional quantitative analysis.

In the three-dimensional quantitative analysis method according to the seventh aspect and the medical image diagnostic apparatus according to the tenth aspect,
A plurality of two-dimensional images are acquired by capturing an imaging region on a plurality of substantially parallel tomographic planes, a plurality of two-dimensional functional images are acquired based on the plurality of two-dimensional images, and the plurality of two-dimensional functional images are acquired. Two-dimensional quantitative analysis is performed on each of the images, and the results of the two-dimensional quantitative analysis are combined to obtain the result of the three-dimensional quantitative analysis. This enables two-dimensional and three-dimensional quantitative analysis at the same time.

[0020]

The present invention will be described in more detail with reference to the embodiments shown in the drawings. The present invention is not limited to this. FIG. 1 is a block diagram of essential parts showing an embodiment of the CT apparatus of the present invention. This CT device 100
Includes an operation console 1, an imaging table 8 and a scanning gantry 9. The operation console 1 includes an input device 2 that receives an operator's instructions and information, and a central processing unit 3 that executes scan processing, image reconstruction processing, and the like.
, A control interface 4 for outputting control signals and the like to the imaging table 8 and the scanning gantry 9, a data collection buffer 5 for collecting the data acquired by the scanning gantry 9, and a two-dimensional or three-dimensional CT value image or a three-dimensional functional image. It has a CRT 6 for displaying images and the like.
The imaging table 8 carries the subject and moves it in the body axis direction. The scanning gantry 9 includes an X-ray controller 10, an X-ray tube 11, a collimator 12, a detector 13, a data acquisition unit 14, and a rotation controller that rotates the X-ray tube 11 and the like around the body axis of the subject. 15 and.

FIG. 2 is a flowchart showing the three-dimensional functional imaging process in the CT apparatus 100. In step T1, a two-dimensional CT value image acquisition process is executed, and an imaging region is imaged on a plurality of substantially parallel tomographic planes to acquire a plurality of two-dimensional CT value images. This two-dimensional CT value image acquisition processing will be described later with reference to FIG. In step T2, a three-dimensional functional model acquisition process is executed to acquire a three-dimensional functional model based on the plurality of two-dimensional CT value images.
This three-dimensional functional model acquisition process will be described later with reference to FIG. Further, FIG. 7 illustrates a three-dimensional functional model F. In step T3, a three-dimensional functional image obtained by viewing the three-dimensional functional model from the viewpoint specified by the operator is acquired. FIG. 8 illustrates a three-dimensional functional image I. In step T4, the acquired three-dimensional functional image is displayed on the CRT 6.

FIG. 3 is a flow chart showing details of the two-dimensional CT value image acquisition process (T1). In step T11, a contrast agent is injected into the subject or xenon gas is inhaled. In step T12, the shooting table 8
4 is moved, as shown in FIG. 4, images are taken on a plurality of tomographic planes so as to cover the imaging area of the subject H, and two-dimensional CT value images S1 to S5 on each tomographic plane are acquired.

FIG. 5 is a flowchart showing details of the first example of the three-dimensional functional model acquisition process (T2). In step T21, as shown in FIG. 6, a three-dimensional CT value model V is generated based on each of the two-dimensional CT value images S1 to S5. This three-dimensional CT value model V has a CT value in each voxel. In step T22, the menu is displayed on the CRT and the operator's instruction is awaited. When the operator uses the input device 2 to instruct "creation of a three-dimensional functional model", the process proceeds to step T23. When the operator instructs "display of a three-dimensional functional image", the three-dimensional functional model acquisition process ends. In step T23, the operator uses the input device 2 to set a CT value range (for example, CT values 130 to 139). The continuous CT value range may be divided into a plurality of CT value ranges and set. In addition, a plurality of CT value ranges having discrete CT value ranges may be set. In step T24,
By checking the CT value of each voxel of the three-dimensional CT value model V,
The voxels whose CT values fall within the CT value range are extracted,
A three-dimensional functional model F as shown in is created. In this three-dimensional functional model F, the C
Voxels that fall within the T value range have specific label values, and voxels that do not fall within the CT value range have different specific label values. When a plurality of CT value ranges are set, voxels in each CT value range have different specific label values. After creating the three-dimensional functional model F, the process returns to step T22. Figure 7
If the three-dimensional functional model F as shown in FIG. 8 is obtained, the three-dimensional functional image I as shown in FIG. 8 is obtained.

FIG. 9 is a flow chart showing details of the second example of the three-dimensional functional model acquisition process (T2). In Step P21, as shown in FIG. 6, a three-dimensional CT value model V is generated based on each of the two-dimensional CT value images S1 to S5. This three-dimensional CT value model V has a CT value in each voxel. In Step P22, the menu is displayed on the CRT and the operator's instruction is awaited. The operator uses the input device 2 to “create three-dimensional volume data”
When the operator instructs "create three-dimensional functional model", the process proceeds to step P23.
In step 25, when the operator gives an instruction to “display three-dimensional functional image”, the three-dimensional functional model acquisition process is terminated. In Step P23, the operator uses the input device 2 to set a threshold CT value (for example, a CT value of 120 or more). In Step P24, the CT value of each voxel of the three-dimensional CT value model V is checked to extract voxels having a CT value equal to or greater than the threshold CT value, and three-dimensional volume data M1 as shown in FIG. 10 is created. In the three-dimensional volume data M1, voxels having the threshold CT value or more have a specific label value, and voxels having a threshold CT value less than the threshold value have a specific label value different from the above. And 3
After creating the dimensional volume data M1, the process returns to step P22. The steps P22 to P24 are repeated at least once for different threshold CT values to create at least two types of three-dimensional volume data. Here, it is assumed that the three-dimensional volume data M2 (threshold CT value is 130 or more) shown in FIG. 11 and the three-dimensional volume data M3 (threshold CT value is 140 or more) shown in FIG. 12 are created.

At step P25, two types of three-dimensional volume data are selected. One of the threshold CT values of these three-dimensional volume data becomes the first threshold and the other becomes the second threshold. In Step P26, a three-dimensional functional model is created from the difference between the selected two types of three-dimensional volume data. For example, the three-dimensional volume data M1 of FIG. 10 and the three-dimensional volume data M2 of FIG.
If is selected, a three-dimensional functional model F1 as shown in FIG. 13 is created. In this three-dimensional functional model F1, voxels with CT values of 120 to 129 have specific label values, and voxels outside the CT value range have specific label values different from the above. When the 3D volume data M2 of FIG. 11 and the 3D volume data M3 of FIG. 12 are selected, a 3D functional model F2 as shown in FIG. 14 is created. In Step P27, the latest created three-dimensional functional model and the existing three-dimensional functional model are combined into one three-dimensional functional model.
For example, if the most recently created three-dimensional functional model is F2 in FIG. 14 and the already created three-dimensional functional model is F1 in FIG. 13, a synthesized three-dimensional functional model F as shown in FIG. 15 is created. . After creating the three-dimensional functional model, the process returns to step P22. If the three-dimensional functional model F as shown in FIG. 15 is obtained, the three-dimensional functional image I as shown in FIG. 16 is obtained. Since the coloring is performed according to the label value of the voxel of the three-dimensional functional model F, the area belonging to the three-dimensional functional model F1 and the area belonging to the three-dimensional functional model F2 can be distinguished.

FIG. 17 is a flowchart showing details of the third example of the three-dimensional functional model acquisition process (T2). In step Q22, the menu is displayed on the CRT and the operator's instruction is awaited. If the operator uses the input device 2 to instruct "creation of a two-dimensional functional image", the operation proceeds to step Q23. If the operator instruct "creation of a three-dimensional functional model", the operation proceeds to step Q25.
When the operator gives an instruction to “display three-dimensional functional image”, the three-dimensional functional model acquisition process is terminated. In step Q23, the operator uses the input device 2 to set a CT value range (for example, CT values 130 to 139). In step Q24, the CT value of each pixel in the plurality of two-dimensional CT value images is examined, pixels having a CT value in the CT value range are extracted, and a two-dimensional functional image is created. For example, a two-dimensional CT value image S1 as shown in FIG. 19 is obtained by taking a tomographic plane as shown in FIG.
When S5 to S5 are obtained, the two-dimensional functional images f1 to f5 as shown in FIG. 20 are created. In these two-dimensional functional images f1 to f5, voxels in the CT value range have specific label values, and voxels outside the CT value range have specific label values different from the above. After creating the two-dimensional functional image, the process returns to step Q22. Note that different C
The steps Q22 to Q24 may be repeated for the T value range to create a plurality of sets of two-dimensional functional images.

In step Q25, a set of two-dimensional functional images is selected. For example, the two-dimensional functional images f1 to f5 in FIG. 20 are selected. In step Q26, a three-dimensional functional model is created from the selected set of two-dimensional functional images. For example, a three-dimensional functional model F as shown in FIG. 21 is created from the two-dimensional functional images f1 to f5 shown in FIG. In this three-dimensional functional model F, voxels with CT values of 130 to 139 have specific label values, and voxels outside the CT value range have specific label values different from the above. In step Q27, the latest created three-dimensional functional model and the already created three-dimensional functional model are combined into one three-dimensional functional model. This is the same as step P27 described above. Then, after creating the three-dimensional functional model, the step Q
Return to 22. If the three-dimensional functional model F as shown in FIG. 21 is obtained, the three-dimensional functional image I as shown in FIG. 22 is obtained.

FIG. 23 is a flow chart showing a first example of the three-dimensional metric analysis processing in the CT apparatus 100. The three-dimensional quantitative analysis processing is executed after step T4 of the three-dimensional functional imaging processing shown in FIG. In step T5, the menu is displayed on the CRT and the operator's instruction is awaited. When the operator uses the input device 2 to instruct "designate a region of interest", the process proceeds to step T6.
When the operator instructs "graph display", the process proceeds to step T8. In step T6, a region of interest is designated on the displayed three-dimensional functional image. Multiple different regions of interest may be specified simultaneously. In step T7, the volume of the region of interest is calculated using the spatial connectivity of voxels of the three-dimensional functional model. If a plurality of different ROIs are designated at the same time, the volume of each ROI is calculated. After creating the volume of the region of interest, the process returns to step T5.

In step T8, a graph is created with the region of interest and its volume as coordinate axes. This gives, for example,
A graph as shown in FIG. 24 is obtained. Further, for another subject, a graph as shown in FIG. 25 is obtained. In step T9, the graph is displayed on the CRT 6. The operator can diagnose the medical condition by comparing the graph shown in FIG. 24 with the graph shown in FIG. 25.

FIG. 26 is a flow chart showing a second example of the three-dimensional quantitative analysis processing in the CT apparatus 100. The three-dimensional quantitative analysis processing is executed after step T1 of the three-dimensional functional imaging processing shown in FIG. In step R22, the menu is displayed on the CRT and the operator's instruction is awaited. When the operator uses the input device 2 to instruct "creation of a two-dimensional functional image", the process proceeds to step R23, where the operator specifies "region of interest"
Is instructed, the process proceeds to step R25, and if the operator instructs "graph display", the process proceeds to step R28. Step R
At 23, the operator sets the CT value range using the input device 2. In step R24, the CT value of each pixel in the plurality of two-dimensional CT value images is checked to find that the CT value is the CT value.
Pixels in the value range are extracted to create a two-dimensional functional image. The steps Q22 to Q24 may be repeated for different CT value ranges to create a plurality of sets of two-dimensional functional images. Step R
At 25, a set of two-dimensional functional images is selected. In step R26, the area of the pixel portion having the CT value in the CT value range is calculated on each two-dimensional functional image. In step R27, the areas in each two-dimensional functional image are summed, and the thickness of the imaging region is multiplied to convert into a volume. Then, the process returns to step R22. Steps R22 to R27
By repeating, the volumes for different regions of interest (regions with different CT value ranges) can be obtained. Step R28
Now, create a graph with coordinate axes of the region of interest and volume. In step R29, the graph is displayed on the CRT 6. The operator can diagnose the medical condition by observing the graph.

[0031]

3 of the medical image diagnostic apparatus of the present invention.
According to the three-dimensional functional image creating method, a three-dimensional functional image can be created based on a two-dimensional image. Therefore, it becomes possible to visually recognize the distribution of the blood flow velocity in the entire organ.
Further, according to the three-dimensional quantitative analysis method in the medical image diagnostic apparatus of the present invention, quantitative analysis can be performed using the three-dimensional functional image. Therefore, three-dimensional quantitative analysis becomes possible. Further, according to the medical image diagnostic apparatus of the present invention, the three-dimensional functional image creating method or the three-dimensional quantitative analysis method can be preferably implemented.

[Brief description of drawings]

FIG. 1 is a principal block diagram showing an embodiment of a CT apparatus according to the present invention.

FIG. 2 is a flowchart showing a three-dimensional functional imaging process.

FIG. 3 is a flowchart showing details of a two-dimensional CT value image acquisition process.

FIG. 4 is a conceptual diagram illustrating imaging of a subject on a plurality of tomographic planes.

FIG. 5: First three-dimensional functional model acquisition process
It is a flowchart which shows the detail of an example.

FIG. 6 is a conceptual diagram of a three-dimensional CT value model.

FIG. 7 is a conceptual diagram of a three-dimensional functional model.

FIG. 8 is a conceptual diagram of a three-dimensional functional image.

FIG. 9 is the second part of the three-dimensional functional model acquisition process.
It is a flowchart which shows the detail of an example.

FIG. 10 is a conceptual diagram of three-dimensional volume data.

FIG. 11 is a conceptual diagram of another three-dimensional volume data.

FIG. 12 is a conceptual diagram of still another three-dimensional volume data.

FIG. 13 is a conceptual diagram of a three-dimensional functional model.

FIG. 14 is a conceptual diagram of another three-dimensional functional model.

FIG. 15 is a conceptual diagram of a combined three-dimensional functional model.

FIG. 16 is a conceptual diagram of a three-dimensional functional image.

FIG. 17 is a flowchart showing details of a third example of the three-dimensional functional model acquisition process.

FIG. 18 is a conceptual diagram illustrating imaging of a subject on a plurality of tomographic planes.

FIG. 19 is a conceptual diagram of a two-dimensional CT value image.

FIG. 20 is a conceptual diagram of a two-dimensional functional image.

FIG. 21 is a conceptual diagram of a three-dimensional functional model.

FIG. 22 is a conceptual diagram of a three-dimensional functional image.

FIG. 23 is a flowchart showing a first example of three-dimensional metric analysis processing.

FIG. 24 is an explanatory diagram showing a graph of the result of the three-dimensional metric analysis processing.

FIG. 25 is an explanatory diagram showing another graph of the result of the three-dimensional metric analysis processing.

FIG. 26 is a flowchart showing a second example of three-dimensional measurement analysis processing.

FIG. 27 is a flowchart showing a two-dimensional functional imaging process.

FIG. 28 is a conceptual diagram in which a subject is imaged on a certain tomographic plane at time intervals.

FIG. 29 is a conceptual diagram of a two-dimensional CT value image obtained by imaging a subject at time intervals.

FIG. 30 is a conceptual diagram of a two-dimensional CT value image divided into divided areas.

FIG. 31 is a graph showing a change in CT value over time in each divided area.

FIG. 32 is a conceptual diagram of a two-dimensional functional image in which the peak CT value in each divided area is visualized.

FIG. 33 is a conceptual diagram of a two-dimensional functional image in which the peak time in each divided area is visualized.

[Explanation of Codes] 100 CT device 1 Operation console 2 Input device 3 Central processing unit 8 Imaging table 9 Operation gantry 11 X-ray tube 12 Collimator 13 Detector 14 Data acquisition unit 15 Data acquisition buffer H Subject S1 to S5 Two-dimensional CT Value image V 3D CT value model F, F1, F2 3D functional model I 3D functional image M1 to M3 3D volume data I 3 f1 to f5 2D functional image

Claims (10)

[Claims] 1. A two-dimensional image acquisition step of acquiring a plurality of two-dimensional images by imaging a photographing region on a plurality of substantially parallel tomographic planes, and acquiring a three-dimensional functional model based on the plurality of two-dimensional images. And a three-dimensional functional image acquiring step for acquiring a three-dimensional functional image based on the three-dimensional functional model. How to create an optional image. 2. The three-dimensional functional image creating method in the medical image diagnostic apparatus according to claim 1, wherein the three-dimensional functional model acquisition step generates a three-dimensional model based on a plurality of two-dimensional images, A three-dimensional medical image diagnostic apparatus characterized by extracting a part of a predetermined voxel value range from the three-dimensional model or simultaneously extracting a plurality of parts of different voxel value ranges to generate a three-dimensional functional model. How to create a functional image. 3. The three-dimensional functional image creating method in the medical image diagnostic apparatus according to claim 1, wherein the three-dimensional functional model obtaining step generates a three-dimensional model based on a plurality of two-dimensional images, From the three-dimensional model, only the voxel value region that is equal to or greater than the first threshold value or equal to or less than the first threshold value is extracted to generate the first three-dimensional volume data and the second threshold value (> first threshold value).
Only the voxel value regions that are equal to or greater than or equal to or less than the second threshold value (<first threshold value) are extracted to generate second three-dimensional volume data, and the first threshold value is calculated from the difference between the first and second three-dimensional volume data. And a three-dimensional functional model for the voxel value range portion sandwiched between the second threshold value and the second threshold value. 4. The method for creating a three-dimensional functional image in the medical image diagnostic apparatus according to claim 3, wherein the three-dimensional functional models for a plurality of different voxel value ranges are respectively generated and then combined. A method for creating a three-dimensional functional image in a medical image diagnostic apparatus, characterized in that a three-dimensional functional model including a plurality of parts of different voxel value ranges is generated. 5. The method for creating a three-dimensional functional image in the medical image diagnostic apparatus according to claim 1, wherein the three-dimensional functional model obtaining step includes a plurality of two-dimensional functional images based on a plurality of two-dimensional images. And a three-dimensional functional model based on the plurality of two-dimensional functional images, and a method for creating a three-dimensional functional image in a medical image diagnostic apparatus. 6. A medical image diagnostic characterized by performing three-dimensional quantitative analysis based on a three-dimensional functional model obtained by the three-dimensional functional image creating method according to any one of claims 1 to 5. Three-dimensional quantitative analysis method in a device. 7. A two-dimensional image acquisition step of acquiring a plurality of two-dimensional images by imaging a photographing region with a plurality of substantially parallel tomographic planes, and a plurality of two-dimensional functional images based on the plurality of two-dimensional images. A two-dimensional functional image acquisition step of acquiring the two-dimensional functional image, a two-dimensional quantitative analysis step of performing a two-dimensional quantitative analysis on each of the plurality of two-dimensional functional images, and a three-dimensional quantitative analysis by combining the results of the two-dimensional quantitative analysis. And a metric analysis result synthesizing step for obtaining a result of the analysis, the three-dimensional metric analysis method in the medical image diagnostic apparatus. 8. A two-dimensional image acquisition means for acquiring a plurality of two-dimensional images by imaging a photographing region on a plurality of substantially parallel tomographic planes, and a three-dimensional functional model based on the plurality of two-dimensional images. And a three-dimensional functional image acquiring means for acquiring a three-dimensional functional image based on the three-dimensional functional model. 9. A two-dimensional image acquisition means for acquiring a plurality of two-dimensional images by imaging a photographing region on a plurality of substantially parallel tomographic planes, and a three-dimensional functional model based on the plurality of two-dimensional images. A medical image diagnostic apparatus comprising: a three-dimensional functional model acquisition unit for performing the three-dimensional functional analysis; and a three-dimensional quantitative analysis unit for performing a three-dimensional quantitative analysis based on the three-dimensional functional model. 10. A two-dimensional image acquisition means for acquiring a plurality of two-dimensional images by imaging a photographing region on a plurality of substantially parallel tomographic planes, and a plurality of two-dimensional images based on the plurality of two-dimensional images.
A two-dimensional functional image acquiring means for acquiring a three-dimensional functional image, a two-dimensional quantitative analyzing means for performing a two-dimensional quantitative analysis on each of the plurality of two-dimensional functional images, and a result of the two-dimensional quantitative analysis are combined. And a quantitative analysis result synthesizing means for acquiring the result of three-dimensional quantitative analysis.