JPS59112359A - Processor for moving picture - Google Patents

Abstract

(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.

Description

[Detailed Description of the Invention] [Technical Field of the Invention] The present invention efficiently extracts information regarding fluctuations in a moving part, such as the heart, from a series of digital images taken of a moving part, and extracts processing results. This relates to a moving image processing device C2 that displays images in an easy-to-understand manner.

[Technical background of the invention and its problems]

For example, as a method of processing and displaying a series of digital images taken of moving parts such as the heart, the memory area of the image output device is divided into two equal parts (divided into two, and each area after the division is (2) There is a method of superimposing the processing results (for example, boundary point information) related to the image C2 at each time on the input grayscale image using color information. However, according to this method C2, the differences between the two images are In order to recognize them, it is necessary to compare and observe each of them, and this recognition is also difficult and inaccurate.

As a means to solve the above drawbacks, as shown in Figure 2,
There is a method of superimposing and displaying the processing results of two images taken at different times for the same region C on a single image.

According to this method, for example, t.

By displaying the image at time t1 in red and displaying the image at time t1 in blue C2, boundary point information at each time can be recognized.

However, when the diagnosis target is not the boundary point information at each time, but rather the change information of the boundary points between time C2, that is, which part of the body part is stationary, and
When recognizing which part has changed or how C2 has changed, it is difficult to recognize C2 from the results displayed by the above method.

[Purpose of the invention]

This invention was made in view of the above-mentioned situation C1,
It is an object of the present invention to provide a moving image processing device that can clearly display variation information of a boundary point during a time interval C2 of two moving images C2.

[Summary of the invention]

To achieve the above object, the present invention provides an image memory that stores at least two temporally different images as digital values for a moving part (two vertebrae), and a difference image between the images of these two vertebrae. and a first spatially differential image creating means that applies a spatially differential filter to the image C2 from one of the image memories to create a spatially differentiated image. , a second spatially differential image creating means for creating a spatially differentiated image by applying a spatial differential filter to the image from the other image memory, which is the output of the differential image creating means; 1. A spatial differential image from a second spatial differential image creation means (boundary point extraction means for extracting a boundary point of the stationary part and a boundary point before and after the fluctuation of the fluctuation part from the two spatial differential values and the fluctuation area) It is characterized by comprising the following.

[Embodiments of the invention]

An embodiment of the present invention will be described below with reference to the drawings.

First, the principle of this invention will be explained with reference to FIG. Normally, the gradation values of a region of interest are rarely at the same level over the entire region, and the gradation values often vary somewhat between images of the same region taken at different times C2. However, for example, in the medical image C, regions other than the region of interest are often photographed in the image. At this time, the area of interest is usually the background (area other than the area of interest in the image)
The image is photographed so that the contrast is stronger than that of C.

Therefore, in the difference image (shown in Figure 6 (c1)) obtained by calculating the difference for each corresponding pixel of two grayscale images (shown in Figure 6 (al, (b)) that capture the variation of the body part, the difference value An area that is a collection of pixels with a large absolute value is considered to be an area through which the boundary of the body part has passed.This area is called the variation area A.The area where the boundary point before the variation is , and the boundary point after the change.According to this property, (a) the boundary point that changed during the part, (b) the boundary point after the change of the boundary point that changed during the part, and (c) the boundary point that remained stationary during the part. Extract the boundary points. (a) is a point on the fluctuation area A (with two points and the first image ≦ 2 has a high spatial differential value, and (b) is a point on the fluctuation area A (with two points and the spatial differential value in the last image The point where the value is high (/→ is a point where the spatial differential value is high but is not in the variation area A or C2.

In this way, the boundary points before and after the fluctuation in the fluctuating region C2 and the boundary points of the stationary region are extracted and displayed, for example, in different colors.
Second, the purpose is to obtain information on fluctuations in boundary points.

Next, an embodiment of the present invention based on the above principle is shown in FIG.
This will be explained with reference to FIG. FIG. 4 is a block diagram of a moving image processing apparatus which is an embodiment of the present invention. In FIG. 4, an original image collecting device 1 collects images photographed by, for example, an X-ray imaging device. A converter 2 converts analog data to digital data from the original image collecting device 1. This digital data is stored in the image memory 4, 5≦2 at each time under the control of the selector channel 6. This is to find the area of variation.

The first spatially differential image creating device 7 inputs the image stored in the image memory 4 and creates a spatially differential image by applying a spatially differential filter over the entire screen C1. When the second spatially differential image creating device 8 inputs the image stored in the image memory 5, the second spatially differential image creating device 8 generates (
A spatial differential image is created by applying a spatial differential filter to only two images.

The boundary point extraction device 9 includes the first. Based on the outputs of the second spatial differential image creation devices 7 and 8 and the output of the difference image creation device B and the fluctuation area C, the boundary points of the stationary part and the boundary points before and after the fluctuation of the fluctuation part are extracted. . The image display device 10 divides the six types of extracted information C, which are the outputs of the boundary point extracting device 9, into individual color information for each, and double-folds the images 6 stored in the image memory 4 or the image memory 5. indicate.

Although not shown, the flow of operations in each of the devices is controlled by a CPU.

There are two functions of the moving image processing apparatus configured as described above, which will be explained with reference to FIG. 5 as well. FIG. 5 is a schematic diagram for explaining the operation.

Image data collected by the original image collection device 1 at time to for a predetermined moving region to be photographed is digitized by the W converter 2ζ2, and stored in the image memory 4 as an image 11 under the control of the selector channel 6 (2). Similarly, the image 12 at time tl is stored in the image memo!351
m memorized. These two images 11 and 12 are input to a difference image creation device 6, where a difference is performed for each corresponding pixel of the images, and a difference image 16 (an image with a high pixel value in a variable area) is created. . On the other hand, the image *ii stored in the image memory 4 is also input to the first spatially differentiated image creation device 7, where a spatially differentiated filter is applied over the entire screen to create a spatially differentiated image. Image 14 is created. Furthermore, the image 12 stored in the image memory 5 is also input to the second spatial differential image creation device 8.

Here, a spatial differential filter is applied to the image 12r2 only within the area of high pixel values of the difference image 16, that is, within the variation area i, to create a spatial differential image 15.

Next, the boundary point extraction device 9 extracts the first. Based on the outputs of the second spatial differential image creation devices 7 and 8 and the output of the differential image creation device 6, boundary points of the stationary portion and boundary points before and after the fluctuation of the fluctuation portion are extracted. That is, there are two spatially differentiated images 1aC, and the points with high spatial differential values are determined, and the points on the fluctuation region (2) that do not exist are taken as the boundary points of the stationary part, and the points that exist on the fluctuation region (2) are taken as the boundary points of the fluctuation part before the fluctuation. Extract as a boundary point.

Also, the spatial differential image 15 (:) is obtained, and the spatial differential value on the variable region (2) is determined, and this is taken as the boundary point after the variation of the variable part. Therefore, as the output of the boundary point extraction device 9, the illustrated image 16C As shown in Figure 2, 616 types of boundary points are obtained.The display device 10 allocates individual color information to each of these 6 types of boundary points, and double-folds this into the image 11ζ to convert the display image 17 into an image. A predetermined dividing position C2 is displayed on the display device 10. This display makes it possible to clearly determine which part of the imaged region has changed and which part has remained stationary during two consecutive time intervals. can.

Next (2. When obtaining the fluctuation information in the image between time t1 and time t2 (2), the image memory 41 - the image 11
≦2 Instead, image 19 with time t2 set by two is stored.

Thereafter, by performing the C2 process in the same manner, a display image 26 with clear variation information can be obtained. In addition, image 20
indicates the difference image at time t1+t2, and image 21 is image 1
9, and image 22 shows an extracted display of variation information over time jl+t2. In this way, in the second and subsequent moving image processing, digital images are stored alternately in the image memories 4 and 5, and a spatially differentiated image is created only for the newly stored image C2. What is necessary is to process it with the created spatial differential image. and,
By displaying the processing results at each time on each divided plane on the display device 10≦2, we can see which parts of the imaged region are changing and which parts are stationary between each consecutive time. can be clearly recognized.

It goes without saying that this invention is not limited to the above-mentioned embodiment C2, and includes modifications of the glaze within the scope of the invention. For example, the present invention can be used to detect the volume of two moving parts C, such as the heart, at each time. This will be explained with reference to FIG. In FIG. 6, images 17 and 23 are images obtained as a result of processing by the moving image processing device, that is, image 1 shown in FIG.
It shows the same image as 7.23. First, from the image 17, the boundary line of the stationary part and the boundary line of the fluctuating part before fluctuation are extracted, and the boundary line 24 of the heart at time to is displayed. Then, by searching on the single closed curve as the boundary line 24, the volume of the heart at time to≦2 can be calculated. Next, in order to calculate the volume of the heart at time t1, the boundary line 25 is extracted and displayed by first replacing the boundary line before the change in the boundary line 24 (2) with the boundary line after the change (2). Line 25 is the boundary line of the heart at time tl. Therefore, from this boundary line 25, the volume of the C2 heart can be easily calculated.

Thereafter, in a similar operation C, the volume of the heart after time t2 can be calculated by using the boundary line of the stationary part as it is and sequentially replacing the boundary line of the fluctuating part C2.

In this way, if this invention is used twice for automatic detection of the volume of the heart, etc., the detection accuracy will be improved by searching on the clearly displayed boundary line. 52, since it is only necessary to replace the boundary line of the variable part, the processing time can also be shortened.

〔Effect of the invention〕

As explained above, according to the present invention C2, by processing images of two glazes that differ in time by ≦1 for a moving part i2, it is possible to It is possible to provide a moving image processing device that can clearly display ≦2 boundary lines. Therefore, it is possible to easily recognize which parts have changed and how they have changed over time.Furthermore, if this invention is used repeatedly for automatic volume detection, accuracy can be improved and processing time can be shortened. It is possible to aim for

[Brief explanation of drawings]

1 and 2 are schematic explanatory diagrams showing the display of processing results in a conventional moving image processing apparatus C2, and FIG. 6(a). (bl, (cl is a schematic explanatory diagram for explaining the present invention in detail, FIG. 4 is a block diagram showing a moving image processing device that is an embodiment of the present invention, and FIG. 5 is a moving image shown in FIG. 4. A schematic explanatory diagram for explaining the operation of the image processing apparatus, FIG.
It is a schematic explanatory view explaining operation when two speeds are used. 1... Original image collection device, 2... NΦ converter, 6
...Selector channel, 4,5...Image memory,
6... Differential image creation device, 7... First spatial differential image creation device, 8... Second spatial differential image creation device, 9... Boundary point extraction device, 10... Image display Device.

Claims (1)

[Claims] At least two temporally different
an image memory that stores each seed image as a digital value; a difference image creation means that creates a difference image between these two types of images and outputs it as a variable area; A first spatially differential image creating means applies a spatially differential filter to create a spatially differentiated image, and the other image from the image memory is subjected to a spatially differential filtering only on a variation region that is an output of the differential image creating means. a second spatial differential image creating means for creating an interspace differential image by applying the first spatial differential image; Boundary point extracting means for extracting a boundary point of a stationary part and a boundary point before and after the fluctuation of the fluctuation part from the spatial differential value of the spatial differential image from the second spatial differential image creation means and the fluctuation area. A moving image processing device characterized by: