KR20190113352A - Method for controlling automatically brightness of medical image - Google Patents

Abstract

Method for automatically adjusting the brightness of the medical image according to an embodiment of the present invention comprises the steps of: reading a read medical image to be read; Detecting a reference medical image corresponding to the read medical image; Extracting a brightness value of the reference medical image; Setting the extracted brightness value as a brightness value of the read medical image; And displaying the readout medical image according to the brightness value.

Description

Method for controlling automatically brightness of medical image

The present invention relates to a technique for identifying a lesion of a patient, and more particularly, to a method for automatically adjusting a brightness of a medical image to adjust a brightness of an image photographing device to a user (doctor).

As electronic technology advances, various types of medical imaging equipment exist for non-invasive diagnostic methods to increase the accuracy of diagnosis. For example, computerized tomography (CT) and magnetic resonance imaging (MRI), simple radiography (X-ray), tomosynthesis (Tomosynthesis) and the like. These devices enable many diagnostic tests that were not possible in the past, and are also very helpful in making more precise diagnosis.

The medical imaging apparatus includes automatic functions such as an auto white balance (AWB) function for adjusting the color balance of an image and an auto focus function for automatically focusing. Along with these automation functions are considered brightness control of the imaging device. To achieve the desired brightness of the medical imaging device, the image sensor is provided with an adjusted exposure time and analog gain. As such, the brightness control method is generally a method of adjusting the aperture opening, shutter control amount, and automatic gain control amount, observing the returned brightness data, and controlling until the desired brightness data is output. However, in this way, the user is inconvenient to control the brightness one by one.

An object of the present invention is to provide a method for automatically adjusting the brightness of a medical image to provide the user with an optimized brightness of the image in the medical imaging device.

According to an aspect of the present invention, there is provided a method for automatically adjusting a brightness of a medical image, the method comprising: reading a read medical image to be read; Detecting a reference medical image corresponding to the read medical image; Extracting a brightness value of the reference medical image; Setting the extracted brightness value as a brightness value of the read medical image; And displaying the readout medical image according to the brightness value.

The detecting of the reference medical image may include detecting the captured medical image as the reference medical image from the captured images captured by the same model as the image device photographing the read medical image.

The detecting of the reference medical image may include calculating a histogram distribution of the read medical image; And detecting a reference medical image having a histogram distribution similar to the calculated readout medical image.

And when the similarity between the calculated histogram distribution of the read medical image and the histogram distribution of the reference medical image is greater than or equal to a predetermined threshold value, it is determined.

According to the present invention, not only the image quality of the medical image can be improved but also the performance of the automatic white balance can be improved. In particular, it is possible to automatically adjust the brightness of the medical image according to the taste of the user without the need for manual manipulation of the user (doctor).

1 is a flowchart of an embodiment for explaining a method for automatically adjusting the brightness of a medical image according to the present invention.
FIG. 2 is a flowchart illustrating a specific embodiment for automatically adjusting the brightness of the medical image shown in FIG. 1.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Embodiments of the present invention are provided to more fully explain the present invention to those skilled in the art, and the following embodiments may be modified in many different forms, the scope of the present invention It is not limited to the following embodiments. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the singular forms "a", "an" and "the" may include the plural forms as well, unless the context clearly indicates otherwise. Also, as used herein, "comprise" and / or "comprising" specifies the presence of the mentioned shapes, numbers, steps, actions, members, elements and / or groups of these. It is not intended to exclude the presence or the addition of one or more other shapes, numbers, acts, members, elements and / or groups. As used herein, the term "and / or" includes any and all combinations of one or more of the listed items.

Although the terms first, second, etc. are used herein to describe various members, regions, and / or portions, it is obvious that these members, components, regions, layers, and / or portions should not be limited by these terms. Do. These terms do not imply any particular order, up or down, or superiority, and are only used to distinguish one member, region or region from another member, region or region. Accordingly, the first member, region, or region described below may refer to the second member, region, or region without departing from the teachings of the present invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings schematically showing embodiments of the present invention. In the drawings, for example, variations in the shape shown may be expected, depending on manufacturing techniques and / or tolerances. Accordingly, embodiments of the present invention should not be construed as limited to the specific shapes of the regions shown herein, but should include, for example, changes in shape resulting from manufacturing.

1 is a flowchart of an embodiment for explaining a method for automatically adjusting the brightness of a medical image according to the present invention. 2 is a flowchart illustrating a specific embodiment for automatically adjusting the brightness of the medical image shown in FIG. 1.

First, the read medical image to be read is read (step S100). The readout medical image may include an X-ray computerized tomography image, an ultrasound tomography image, an impedance tomography image, and a computed radiography (CR) image.

After step S100, a reference medical image corresponding to the read medical image is detected (step S102). The detecting of the reference medical image may include detecting the reference medical image as the reference medical image from the captured images captured by the same model as the imaging apparatus that photographed the read medical image.

The detecting of the reference medical image may include calculating a histogram distribution of the read medical image; And detecting a reference medical image having a histogram distribution similar to the calculated readout medical image.

The similarity between the calculated histogram distribution of the read medical image and the histogram distribution of the reference medical image may be similar and determined.

After step S102, the brightness value of the reference medical image is extracted (step S104).

After step S104, the extracted brightness value is set as the brightness value of the read medical image (step S106).

After step S106, the read medical image is displayed according to the brightness value (step S108).

The medical imaging apparatus for executing the method for automatically adjusting the brightness of the medical image according to the present invention displays the medical image to the user using image data stored therein or received from the outside. The ultrasound image may display an ultrasound image, an X-ray image, a computerized tomography (CT) image, a magnetic resonance (MR) image, a positron emission tomography (PET) image, and the like, and may be used for diagnosis and treatment of a disease.

The medical imaging apparatus may be a device fixed at a predetermined position or may be a device that is implemented as a cart type or a portable type and is movable. The medical imaging apparatus may be a device manufactured only for diagnosis and treatment of a disease, but is not limited thereto. The medical imaging apparatus may include various devices capable of displaying an image such as a smart phone, a laptop computer, a PDA, a tablet PC, and the like. have.

The medical imaging apparatus according to the present invention may include a user input unit, a processor, and a display.

The user input unit refers to means for receiving data for controlling the medical imaging apparatus. The user input unit may receive a user input for selecting at least one point in the 2D medical image generated from volume data representing the object. The user input unit may include, but is not limited to, a hardware configuration such as a keypad, a touch panel, a touch screen, a trackball, a jog switch, and may further include various input means such as a voice recognition sensor, a gesture recognition sensor, a depth sensor, and a distance sensor. It may include. As an example, the user input unit may include a mouse or a trackball, and receive a user input of selecting at least one point in the 2D medical image using a cursor moving according to a user's manipulation of the mouse or trackball. As another example, the user input unit may include a touch screen and recognize a user's touch for selecting a predetermined point on the touch screen.

The processor may control overall operations of the medical imaging apparatus. The processor may control the user input unit and the display. The processor reads the read medical image to be read, detects the reference medical image corresponding to the read medical image, extracts the brightness value of the reference medical image, and then extracts the extracted brightness value from the brightness value of the read medical image. Set to, and controls to display the read medical image in accordance with the brightness value. In this case, the processor may detect the reference medical image from the captured images photographed with the same model as the imaging apparatus that captured the readout medical image.

In addition, the processor may determine the spatial area in the volume data including the point selected by the user based on the brightnesses of the voxels included in the volume data. The processor may acquire a brightness value of the point selected by the user. In addition, the processor may obtain coordinate information indicating a position of at least one point selected in the volume data based on the user input. The processor may use various region partitioning algorithms to determine the spatial region in the volume data that includes the point selected by the user. For example, the processor may include a threshold value method, an edge detection method, a texture feature value method, a region growing algorithm, an active contour algorithm, and the like. It can be used as an area division algorithm.

The processor divides an image input in units of frames into a plurality of windows and calculates a brightness average of the image and a weighted histogram and histogram frequency of the image using the brightness data of each window and the weight of each window. In this case, the entire image may be used for the histogram, and alternatively, some may be used through a resizing method such as subsampling.

Another method for explaining a method for automatically adjusting the brightness of a medical image according to the present invention is as follows. For example, a mammogram is preprocessed to generate a histogram according to pixel values (pixel brightness) of the breast region. Profiles of mean (μ) and variance (σ), which are stochastic parameters of the breast region detected in the histogram of the breast region, are generated. A borderline intensity profile of adipose and coronary tissue regions is generated in the breast region detected in the histogram of the breast region. The separability combined with the values calculated in the above step is calculated to optimally separate the fat area and the associated tissue area. Breast density is calculated as a value for breast cancer diagnosis based on the separation of adipose and associated tissue areas.

The present invention is to read the mammography X-ray image for the mammogram in the mammography program, extracting the breast region from the image, removing noise by contrast contrast stretching and median filtering, which is a preprocessing process, Extracting and applying stochastic parameters of the detected breast region to the observer model, detecting the boundary line and calculating its intensity; combining these two values to calculate the final separability and the maximum value Optimally separating the fat and the associated tissue by measuring a pixel value having a and calculating the breast density based on this.

The present invention can be applied to a variety of playback devices by implementing a software program and recording it on a computer-readable predetermined recording medium. Various playback devices may be PCs, laptops, portable terminals, and the like. For example, the recording medium may be a hard disk, a flash memory, a RAM, a ROM, or the like as an internal type of each playback device, or an optical disc such as a CD-R or a CD-RW, a compact flash card, a smart media, a memory stick, or a multimedia card. have.

While the embodiments of the present invention have been described as described above, the embodiments disclosed in the specification of the present invention do not limit the present invention. The scope of the present invention should be construed by the claims below, and all techniques within the scope equivalent thereto will be construed as being included in the scope of the present invention.

Claims (4)

In the method for automatically adjusting the brightness of the medical image,
Reading a read medical image to be read;
Detecting a reference medical image corresponding to the read medical image;
Extracting a brightness value of the reference medical image;
Setting the extracted brightness value as a brightness value of the read medical image; And
And displaying the readout medical image according to the brightness value. The method of claim 1,
Detecting the reference medical image,
The method for automatically adjusting the brightness of the medical image, characterized in that for detecting the reference medical image from the captured images taken with the same model as the imaging device for taking the readout medical image. The method of claim 1,
Detecting the reference medical image,
Calculating a histogram distribution for the read medical image;
And detecting a reference medical image having a histogram distribution similar to the calculated readout medical image. The method of claim 3, wherein
And determining similarity between the calculated histogram distribution of the read medical image and the histogram distribution of the reference medical image when they are equal to or greater than a predetermined threshold.

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