JP2018089379A - Bladder function evaluation program and bladder function evaluation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a bladder function evaluation program and bladder function evaluation method capable of improving low invasiveness and quantitativity and improving accuracy of local diagnosis.SOLUTION: The bladder function evaluation program according to the present invention causes a computer to: execute the steps of creating a plurality of bladder area data for each of the plurality of bladder fluoroscopic image data, and creating a plurality of center-of-gravity position data for each of the created plurality of bladder area data; extract reference position data of each of the plurality of bladder fluoroscopic image data; and calculate distance data between the reference position data and the center-of-gravity position data.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a bladder function evaluation program and a bladder function evaluation method.

  Conventionally, bladder function evaluation related to urinary storage and discharge has been performed by using movement information of the entire bladder such as pressure change in the bladder and myoelectricity as an index and collating these with symptoms. These indicators are standard clinical examination methods in the present clinic, and based on medical statistics for many cases, appropriate evaluation and treatment planning are possible for each case.

  However, the above-described conventional examination requires many procedures such as insertion of a catheter into the bladder and measurement of myoelectricity with a needle, and variations in results due to non-uniform examination techniques and these invasions are psychological and physiological. It has also been pointed out that it may have an impact.

  In addition, the above-mentioned conventional examination mainly focuses on the overall evaluation of organs, but as the means of treatment for functional and mechanical disorders of the bladder become less invasive and local, the accuracy of local diagnosis improves. Is also sought.

  Therefore, in view of the above problems, the present invention provides a bladder function evaluation program and a bladder function evaluation method capable of improving minimally invasive and quantitative and improving local diagnostic accuracy. With the goal.

  A bladder function evaluation program according to an aspect of the present invention that solves the above problems is a bladder region creation step for creating bladder region data for each of a plurality of fluoroscopic image data on a computer, and a bladder created by a bladder region creation step For each region data, a centroid position calculation step for calculating the centroid position, a centroid position calculated by the centroid position creation step, and a bladder shape feature for calculating data regarding the distance from the centroid position calculated by the centroid position creation step to the outline of the bladder region data created by the bladder region creation step The calculation step is executed.

  The bladder function evaluation method according to another aspect of the present invention includes a bladder region creation step for creating bladder region data for each of a plurality of bladder fluoroscopic image data, and each of the bladder region data created by the bladder region creation step. On the other hand, a centroid position calculating step for calculating a centroid position, and a bladder shape feature calculation for calculating data relating to a distance from the centroid position calculated by the centroid position calculating step to an outline of the bladder region data created by the bladder region creating step Has steps.

  As described above, according to the present invention, it is possible to provide a bladder function evaluation program and a bladder function evaluation method that can improve minimally invasiveness and quantitativeness and can also improve local diagnostic accuracy.

It is a figure which shows the image of the data which extracted the shape of the bladder. It is a figure which shows the image of the step which calculates | requires distance data (centroid distance data) with gravity center position data. It can be determined how much the circumference of the bladder is locally changed from the reference point. It is a figure of an example in this case. It is a figure which shows the process sequence of a present Example. It is a figure which shows the movement tendency of the whole bladder. It is a figure which shows the time-dependent change of a bladder shape. It is a figure which shows the pattern 1 of a bladder shape feature calculation. It is a figure which shows the pattern 2 of bladder shape feature calculation.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. However, the present invention can be implemented in many different forms, and is not limited to specific examples in the embodiments and examples shown below.

  The bladder function evaluation method according to the present embodiment (hereinafter referred to as “the present method”) includes (A) a step of creating a plurality of bladder region data for each of a plurality of bladder fluoroscopic image data, and (B) a plurality of the created plurality of bladder region data. Creating a plurality of barycentric position data for each of the bladder region data.

  In addition, although this method is not necessarily limited as long as it can be performed, it is preferable to perform it using what is called a computer. More specifically, a recording medium such as a hard disk or a RAM, a central processing unit (CPU), a bus line connecting them, and an input device such as a keyboard or mouse connected to them for inputting various data. Using a computer equipped with a disk display device that displays data processed by these as an image, a program for executing the method is recorded on a recording medium such as the hard disk, and the program is executed in accordance with a user operation. Can be realized.

  That is, the method includes: (A) a step of creating a plurality of bladder region data for each of a plurality of bladder fluoroscopic image data; and (B) a plurality of centroids for each of the plurality of created bladder region data. It can be executed by using a bladder function evaluation program that executes the step of creating position data.

  In this method, as described above, first, (A) a plurality of bladder region data is created for each of the plurality of bladder fluoroscopic image data.

  In this step, the plurality of bladder fluoroscopic image data is image data including information on the entire bladder of the patient and capable of grasping the bladder appearance at least two-dimensionally. The apparatus for acquiring the bladder fluoroscopic image data can be acquired by an X-ray measuring apparatus using X-rays that pass through the patient's body, an ultrasonic examination apparatus using ultrasonic waves, MRI measurement, or the like, but is not limited thereto. Not. The acquired bladder fluoroscopic image data is recorded on a recording medium such as a hard disk of a computer connected to these devices, and is read and used as necessary. The computer that acquires the plurality of bladder fluoroscopic image data and the computer that stores the program for executing this method may be the same or different. The bladder fluoroscopic image data may be three-dimensional data or two-dimensional data.

  Further, in the step, a plurality of bladder fluoroscopic image data are created and recorded at a plurality of times, and more preferably a plurality of bladder fluoroscopic image data are created and recorded in a time series at predetermined time intervals. Furthermore, it is preferable that the plurality of bladder fluoroscopic image data includes data at a time when urine is accumulated in the bladder, a time when urine is discharged, and an intermediate state thereof. By doing so, it becomes possible to more accurately determine the state of the bladder before and after urination.

  In this step, “bladder region data” refers to data of a region in which a portion of the bladder is extracted from the created bladder fluoroscopic image data, and more specifically, data in which the shape of the bladder is extracted. This image is shown, for example, in FIG.

  The method for creating bladder region data is not limited as long as the region corresponding to the shape of the bladder can be extracted. For example, a discontinuous point between pixels in an image is extracted as an edge (bladder region boundary point), A known processing method for extracting this discontinuous portion as a boundary line can be employed. In this extraction, it is also possible to employ a process of binarizing or gray-scaleing the image before extraction to emphasize the discontinuous portion and a process of extracting the extracted boundary line as approximating a closed shape.

  In this step, it is also preferable that after the bladder region data is created, bladder region area data in the bladder region is created for each bladder fluoroscopic image data. By acquiring data relating to the area of the bladder region, it is possible to grasp the change in the size of the bladder before and after urination, thereby enabling a more accurate diagnosis.

  In this case, it is also preferable to acquire data (actual urine output data) regarding the measurement subject's urine output. By taking this change in urination volume and size, it is possible to obtain a correlation between the size and change amount of the bladder region and the urination volume, thereby enabling a more accurate diagnosis.

  Further, in this step, it is preferable to execute the step of extracting the reference position data for each of the plurality of bladder fluoroscopic image data after extracting the bladder region data for each of the plurality of bladder fluoroscopic image data.

  In this step, the “reference position data” is data used as a reference position used for evaluating time-series fluctuations of the bladder, and even if the shape of the bladder changes, the entire bladder Is data including coordinates of a reference position whose positional relationship does not differ greatly. In this method, since the shape of the bladder is greatly different between a state in which urine is accumulated and a state in which urine is discharged, diagnosis based on changes in urine is possible by checking the shape itself. However, not only this shape change but also whether or not there is a change in the position of the entire bladder allows diagnosis with higher accuracy.

  The reference position may be any point on the bladder fluoroscopic image, but is preferably a part of a bone such as a pelvis with little change. By doing in this way, even if the acquisition position of the bladder fluoroscopic image data acquired in time series is slightly different, there is an advantage that the position can be adjusted depending on the position and shape of the bone.

  In this method, next, (B) a plurality of centroid position data are created for each of the created bladder region data.

  Here, the center-of-gravity position can be obtained by various methods, and it is most convenient to use the arithmetic average value of the coordinates in the boundary line of the bladder region, but is not limited thereto. By determining the position of the center of gravity, more accurate diagnosis including changes in the position of the bladder is possible.

  That is, the method preferably includes the step of (C1) obtaining distance data (centroid distance data) between the reference position data and the centroid position data. An image in this case is shown in FIG.

  According to this step, it is possible to confirm the position of the center of gravity of the bladder, obtain the distance from the reference position, and quantify how this changes over time. Whether the change in the bladder position of the measurement subject is included in the range of the healthy subject by measuring the magnitude of this change for the healthy subject and multiple people suffering from some disease and statistically processing it It is possible to determine the extent of the range.

  In addition to (C1), or in place of (C1), the method may include (C2) a step of obtaining distance data (boundary distance data) between the reference position data and bladder region boundary point data. The bladder region boundary point data is data including coordinate information of the bladder boundary region point. In this way, it is possible to determine how much the periphery of the bladder is locally changed from the reference point. An example of this case is shown in FIG.

  This embodiment is a data extraction method for analyzing the characteristics of the bladder form at the time of animal urination. Specifically, the change of the bladder form over time is expressed as follows: (1) Overall movement of the bladder (2) It focuses on the fact that it can be expressed in two types of changes in shape over time. In order to express these two types of features, the inventors have devised a method of expressing the center of gravity of the bladder and the distance data from the center of gravity to the contour.

  FIG. 4 is a diagram illustrating a processing procedure of the present embodiment. First, in step 401, bladder time-lapse (moving image, multiple still images) data is acquired by an X-ray measuring apparatus, an ultrasonic examination apparatus, an MRI measurement, or the like.

  In step 402, a reference point (for example, a sciatic bone) is detected for each time-lapse data of the bladder, and the reference points are compared with each other so as to associate (align) the images. In this step, the image of each frame is aligned with a reference point such as a sciatic bone in order to cancel data fluctuation due to body movement of the subject under examination.

  In step 403, segmentation of the bladder region of each frame and extraction of the boundary line are performed based on the time-lapse data of the bladder.

  In step 404, the center of gravity of the bladder of each frame is calculated based on the boundary line of the bladder region.

  In steps 405 and 406, bladder shape characteristics are calculated (patterns 1 and 2) based on the boundary line of the bladder region and the gravity center of the bladder of each frame. The calculation of the bladder shape feature will be described in detail later.

  In step 407, the calculation result, that is, (1) the movement tendency of the entire bladder, and (2) the time-dependent change of the bladder shape are displayed on the display (display device).

  FIG. 5 is a diagram showing the movement tendency of the entire bladder. The left diagram in FIG. 5 shows a border line 501 of the bladder region. The right figure of FIG. 5 shows the gravity center position of each frame when the gravity center position of the first frame is (0, 0) ((a)). According to FIG. 5, the movement tendency of the entire bladder can be grasped, which is one index for determining whether or not the bladder is in a normal state.

  FIG. 6 is a diagram showing the change in bladder shape over time. In the left diagram of FIG. 6, a plot of the line segment connecting the center of gravity and the reference line and the intersection of the bladder boundary line as the starting point, the declination as the horizontal axis, and the radius vector as the vertical axis is plotted in the right diagram of FIG. 6. is there. According to FIG. 6, it is possible to determine whether the bladder shape is vertically long or horizontally long by analyzing the angle of the peak. In addition, a change in the shape of the bladder over time can be visually grasped, which is an index for determining whether or not the bladder is in a normal state.

  FIG. 7 is a diagram showing a pattern 1 for calculating the bladder shape feature. In pattern 1, shape features are calculated using the center of gravity of each frame. That is, the distance from the center of gravity of each frame to the bladder boundary line is calculated. According to this method, the “shape change” of the bladder can be tracked by comparing before and after urination. The right diagram in FIG. 7 shows the distance from the center of gravity to the bladder boundary before and after urination. In the example of this figure, the bladder contracts uniformly without urinating after urination. I understand that

  FIG. 8 is a diagram showing a pattern 2 for calculating the bladder shape feature. In pattern 2, the shape feature of all frames is calculated using the center of gravity of the first frame. That is, the distance from the center of gravity of the first frame to the bladder boundary of each frame is calculated. According to the pattern 2, it is possible to grasp “which part of the bladder wall surface is most contracted”. The right figure of FIG. 8 shows an example of calculation. In this example, it can be seen that the lower part of the bladder is contracted uniformly without moving.

  According to the present embodiment, the change in the bladder shape feature can be grasped by the two indexes of pattern 1 and pattern 2, and the normality of the bladder can be visually judged more accurately.

  The present invention has industrial applicability as a bladder function evaluation program and a bladder function evaluation method.

Claims (4)

On the computer,
A bladder region creation step for creating bladder region data for each of a plurality of bladder fluoroscopic image data,
For each bladder region data created by the bladder region creation step, a center of gravity position calculating step for calculating a center of gravity position;
A bladder function evaluation program for executing a bladder shape feature calculation step for calculating data relating to a distance between the center of gravity position calculated in the center of gravity position creation step and the outline of the bladder region data created in the bladder region creation step.   The bladder function evaluation program according to claim 1, wherein a step of extracting reference position data for each of the plurality of bladder fluoroscopic image data is executed. A bladder region creation step for creating bladder region data for each of a plurality of bladder fluoroscopic image data,
For each bladder region data created by the bladder region creation step, a center of gravity position calculating step for calculating a center of gravity position;
A bladder function evaluation method including a bladder shape feature calculation step of calculating data relating to a distance from the center of gravity position calculated in the gravity center position calculation step to a contour of the bladder region data created in the bladder region creation step. The bladder function evaluation method according to claim 3, wherein the step of extracting reference position data for each of the plurality of bladder fluoroscopic image data is executed.