WO2018030519A1 - Système de détection d'une région mammaire, procédé de détection d'une région mammaire et programme - Google Patents

Système de détection d'une région mammaire, procédé de détection d'une région mammaire et programme Download PDF

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WO2018030519A1
WO2018030519A1 PCT/JP2017/029125 JP2017029125W WO2018030519A1 WO 2018030519 A1 WO2018030519 A1 WO 2018030519A1 JP 2017029125 W JP2017029125 W JP 2017029125W WO 2018030519 A1 WO2018030519 A1 WO 2018030519A1
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image
breast region
breast
enhanced
enhanced image
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PCT/JP2017/029125
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English (en)
Japanese (ja)
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山本将勝
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コニカミノルタメディカルソリューションズ株式会社
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Priority to JP2018533566A priority Critical patent/JP7010225B2/ja
Publication of WO2018030519A1 publication Critical patent/WO2018030519A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing

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  • the present invention relates to a breast region detection system, a breast region detection method, and a program for detecting a breast region from a digital mammography image.
  • an interpreting physician sometimes watches a high-luminance screen for interpretation of a digital mammography image. Further, an interpreting physician may perform image processing such as contrast change or black-and-white reversal on an image displayed on the screen in order to make the lesion in the breast region easy to see.
  • the density of the background region other than the breast region is increased (for example, white) by such image processing, it is very dazzling and increases the eye burden on the interpretation doctor. For this reason, it is desired to make the density of the background region lower (for example, black) than the breast region.
  • the maximum density value excluding the distribution corresponding to the background region is obtained, and the digital mammography image is binarized using the maximum density value as a threshold value.
  • a region having a density lower than the threshold value can be detected as a breast region.
  • the said threshold value cannot be set appropriately and a breast area
  • region may not be detected more correctly.
  • the threshold may be set manually by the system administrator. In this case, the threshold value cannot be set appropriately due to human error, and the breast region may not be detected more accurately. Further, for example, when the mammography apparatus is upgraded, the optimum value of the threshold value may change. In this case, it is necessary to reset the threshold value each time, and the chance of human error increases.
  • an object of the present invention is to provide a breast region detection system, a breast region detection method, and a program capable of more accurately detecting a breast region in solving the above-described problems.
  • a breast region detection system includes: An edge-enhanced image generation unit that generates an edge-enhanced image of a breast region based on a digital mammography image; A reference image generation unit that generates a reference image by performing a process of filling a breast region with a color different from a background region on the edge-enhanced image; A breast region detection unit for detecting a breast region based on the reference image; It is characterized by providing.
  • a program includes a computer, An edge-enhanced image generation unit that generates an edge-enhanced image of a breast region based on a digital mammography image; A reference image generation unit that generates a reference image by performing a process of filling a breast region with a color different from a background region on the edge-enhanced image; A breast region detection unit for detecting a breast region based on the reference image; It is a program that functions as:
  • a breast region detection method generates an edge-enhanced image of a breast region based on a digital mammography image
  • a reference image is generated by performing processing for filling the breast region with a color different from the background region on the edge-enhanced image, Detecting a breast region based on the reference image; It is characterized by including.
  • the present invention it is possible to provide a breast region detection system, a breast region detection method, and a program that can detect a breast region more accurately.
  • FIG. 1 It is a block diagram which shows the basic composition of the breast area
  • FIG. 10 is a diagram showing a state in which a background region is displayed in black based on the breast region detected by the breast region detection system of FIG. 1 in the digital mammography image after black and white reversal shown in FIG. 9.
  • an edge enhanced image generation unit that generates an edge enhanced image of a breast region based on a digital mammography image;
  • a reference image generation unit that generates a reference image by performing a process of filling a breast region with a color different from a background region on the edge-enhanced image;
  • a breast region detection unit for detecting a breast region based on the reference image;
  • a breast region detection system is provided.
  • the breast region detection unit changes a threshold value of the density value with respect to the digital mammography image, and acquires a binarized image closest to the reference image as a breast region candidate image.
  • region detection system as described in a 1st aspect which detects a breast area
  • the breast region detection unit performs a labeling process on the breast region candidate image and detects a region having the largest area as a breast region. Provide a detection system.
  • the edge enhanced image generation unit includes: A skinline-enhanced image generation unit that generates a skinline-enhanced image that emphasizes the skinline of the breast region; A structure-enhanced image generating unit that generates a structure-enhanced image in which the structure in the breast region is emphasized; An enhanced image combining unit that generates the edge enhanced image by combining the skinline enhanced image and the structure enhanced image; A breast region detection system according to any one of the first to third aspects is provided.
  • the skin line enhanced image generation unit generates the skin line enhanced image by performing a Sobel filter process on the digital mammography image.
  • An area detection system is provided.
  • the structure emphasized image generation unit generates the structure emphasized image by performing a Laplacian filter process on the digital mammography image.
  • a breast region detection system is provided.
  • the reference image generation unit generates the reference image by performing a closing process on the edge-enhanced image, according to any one of the first to sixth aspects.
  • a breast region detection system is provided.
  • a computer An edge-enhanced image generation unit that generates an edge-enhanced image of a breast region based on a digital mammography image;
  • a reference image generation unit that generates a reference image by performing a process of filling a breast region with a color different from a background region on the edge-enhanced image;
  • a breast region detection unit for detecting a breast region based on the reference image;
  • the breast region detection unit changes a threshold value of the density value with respect to the digital mammography image, and acquires a binarized image closest to the reference image as a breast region candidate image. Then, the program according to the eighth aspect is provided for detecting a breast region based on the breast region candidate image.
  • the breast region detection unit performs a labeling process on the breast region candidate image and detects a region having the largest area as a breast region. provide.
  • the edge enhanced image generation unit includes: A skinline-enhanced image generation unit that generates a skinline-enhanced image that emphasizes the skinline of the breast region; A structure-enhanced image generating unit that generates a structure-enhanced image in which the structure in the breast region is emphasized; An enhanced image combining unit that generates the edge enhanced image by combining the skinline enhanced image and the structure enhanced image; A program according to any one of the eighth to tenth aspects is provided.
  • the skinline enhanced image generation unit generates the skinline enhanced image by performing a Sobel filter process on the digital mammography image. I will provide a.
  • the structure emphasized image generation unit generates the structure emphasized image by performing a Laplacian filter process on the digital mammography image. Provide a program.
  • the reference image generation unit generates the reference image by performing a closing process on the edge enhanced image. Provide a program.
  • an edge-enhanced image of a breast region is generated based on a digital mammography image
  • a reference image is generated by performing processing for filling the breast region with a color different from the background region on the edge-enhanced image, Detecting a breast region based on the reference image;
  • a breast region detection method is provided.
  • detecting a breast region based on the reference image comprises By changing a threshold value of density value for the digital mammography image, a binary image closest to the reference image is obtained as a breast region candidate image, Detecting a breast region based on the breast region candidate image; The breast area
  • FIG. 1 is a block diagram showing a basic configuration of a breast region detection system according to an embodiment of the present invention.
  • the breast region detection system 1 is a system that detects a breast region based on a digital mammography image captured by a mammography apparatus or the like.
  • the breast region detection system 1 includes a preprocessing unit 2, an edge enhanced image generation unit 3, a reference image generation unit 4, and a breast region detection unit 5.
  • the pre-processing unit 2 is configured to perform a reduction process for reducing the number of pixels on a digital mammography image that is a target for detecting a breast region. By this reduction processing, fine noise in the digital mammography image is removed. Moreover, the speed of subsequent image processing can be increased by this reduction processing.
  • the edge-enhanced image generation unit 3 is configured to generate an edge-enhanced image of the breast region based on the digital mammography image.
  • the edge enhanced image generation unit 3 includes a skin line enhanced image generation unit 31, a structure enhanced image generation unit 32, and an enhanced image composition unit 33.
  • the skinline enhanced image generation unit 31 is configured to generate a skinline enhanced image in which the skinline SL of the breast region E1 is enhanced.
  • the skin line SL is a portion that becomes a boundary between the breast region E1 and the background region E2.
  • the skinline enhanced image generation unit 31 is configured to generate a skinline enhanced image (FIG. 2) by performing a Sobel filter process that is a first-order differential filter on a digital mammography image.
  • the “Sobel filter” is a filter that calculates a spatial first derivative and detects a contour.
  • the skin line SL can be emphasized by applying a Sobel filter to the digital mammography image in, for example, four directions, up, down, left, and right.
  • the skinline enhanced image generation unit 31 may be configured to perform binarization processing on the skinline enhanced image (FIG. 2). As a result, as shown in FIG. 3, it is possible to generate a skinline enhanced image in which not only the skinline SL but also structures in the breast region E1 are enhanced.
  • the structure emphasized image generation unit 32 is configured to generate a structure emphasized image in which the structure in the breast region E1 is emphasized.
  • the structure-enhanced image generation unit 32 is configured to generate a structure-enhanced image by performing Laplacian filter processing that is a second-order differential filter on the digital mammography image.
  • the “Laplacian filter” is a filter that detects a contour by calculating a spatial second derivative, and is a filter that extracts a portion where the amount of change in density difference is extremely large.
  • the structure emphasized image generation unit 32 binarizes the structure emphasized image. It may be configured to perform processing. Thereby, the structure emphasis image in which the structure in the breast region E1 is more emphasized can be generated.
  • the emphasized image combining unit 33 is configured to generate an edge emphasized image by combining the skinline emphasized image (FIG. 3) and the structure emphasized image (FIG. 4).
  • the skinline emphasized image FIG. 3
  • the structure emphasized image FIG. 4
  • the reference image generation unit 4 performs a process of filling (filling) the breast region E1 with a color (for example, white) different from the background region E2 on the edge-enhanced image (FIG. 5).
  • a reference image is generated.
  • the reference image generation unit 4 is configured to generate a reference image (FIG. 6) by performing a closing process on the edge enhanced image (FIG. 5).
  • “expansion processing” is a type of morphology processing, and refers to processing in which “expansion” is performed N times and then “shrinkage” is performed N times. According to the closing process, it is possible to obtain effects such as filling a figure or combining cut parts.
  • the breast region detection unit 5 is configured to detect the breast region E1 based on the reference image (FIG. 6).
  • the breast region detection unit 5 changes the threshold value of the density value with respect to the digital mammography image, and acquires the binarized image closest to the reference image (FIG. 6) as the breast region candidate image. It is configured.
  • the breast region detection unit 5 sequentially increases the threshold value of the density value, sequentially compares the binarized image obtained thereby and the reference image, and searches for a binarized image with the smallest number of non-overlapping pixels. Then, the searched binary image is acquired as a breast region candidate image.
  • the threshold value is a value serving as a reference for whether or not to display a specific color (for example, white) in the binarized image. For example, a portion where the density value is less than or equal to the threshold is displayed in black, while a portion where the density value is greater than the threshold is displayed in white. That is, when the threshold value is small, the binarized image is displayed in black, and as the threshold value is increased, the breast region is gradually displayed in white.
  • the breast region detection unit 5 is configured to detect a breast region based on the acquired breast region candidate image.
  • the breast region candidate image has a plurality of breast region candidates E11 and E12 (portions displayed in white) as shown in FIG. 7 due to noise, identification information, and the like in the mammography image. There is.
  • the breast region detection unit 5 is configured to perform a labeling process on the breast region candidate image (FIG. 7) and detect the region E11 having the largest area as a breast region.
  • the “labeling process” refers to a process of distinguishing areas in a binarized image by assigning the same number to pixels in which a portion of a color (for example, white) different from the background area is continuous. That is, the breast region detection unit 5 is configured to detect a region having the largest area as a breast region among regions assigned the same number by the labeling process.
  • the digital mammography image is continuous with no density difference between the background region and the breast region as shown in FIG. 13, and the edge enhancement is performed even if the breast region is unclear. Since the image generation unit 3 is provided, an edge-enhanced image of the breast region can be obtained. In addition, since the reference image generation unit 4 is provided, it is possible to obtain a reference image in which the breast region is filled with a color different from the background region with respect to the edge enhanced image. With this reference image, the breast region can be detected more accurately.
  • the breast region detection system since the breast region is detected without using the density value histogram, it is possible to suppress the influence of imaging conditions and the like, and to further improve the breast region. It can be detected accurately.
  • the breast region detection system since the breast region is detected based on a reference image (FIG. 6) that can be automatically created, an artificial detection error is suppressed. be able to.
  • the breast region detection system according to the embodiment of the present invention, a labeling process is performed on the breast region candidate image, and the region E11 having the largest area is detected as a breast region.
  • the breast region can be detected more accurately even if the background region includes a region caused by noise, identification information, or an extra structure.
  • FIG. 8 is a diagram showing an example of a digital mammography image.
  • FIG. 9 is a diagram illustrating a state in which black and white inversion has been performed on the digital mammography image illustrated in FIG. 8.
  • FIG. 10 is a diagram illustrating a state in which the background region is displayed in black based on the breast region detected by the breast region detection system in the digital mammography image after black and white reversal illustrated in FIG. 9. As shown in FIG. 10, according to the breast region detection system, it is possible to obtain an image in which the inside of the breast region is easy to see with little burden on the eyes of the interpretation doctor.
  • the preprocessing unit 2, the edge-enhanced image generation unit 3, the reference image generation unit 4, and the breast region detection unit 5 can be realized by an MPU, a memory, or the like, for example. Further, the processing procedures of the units 2 to 5 can be realized by software or hardware (dedicated circuit) recorded in a storage medium such as a ROM, for example.
  • FIG. 11 is a flowchart showing an example of a breast region detection method according to the embodiment of the present invention.
  • the preprocessing unit 2 performs a reduction process for reducing the number of pixels on a digital mammography image that is a target for detecting a breast region (step S1).
  • a reduction process for reducing the number of pixels on a digital mammography image that is a target for detecting a breast region.
  • fine noise in the digital mammography image is removed.
  • the speed of subsequent image processing can be increased by this reduction processing.
  • the original size of the digital mammography image is, for example, about 2000 to 10,000 pixels.
  • the size of the digital mammography image after the reduction process is, for example, about 256 to 512 pixels.
  • the edge-enhanced image generation unit 3 generates an edge-enhanced image (FIG. 3) of the breast region E1 based on the digital mammography image after the reduction process (Steps S2 to S4).
  • the skin line-enhanced image generation unit 31 performs a Sobel filter process that is a first-order differential filter on the digital mammography image after the reduction process, thereby enhancing the skin line SL of the breast region E1.
  • a line-enhanced image (FIG. 2) is generated (step S2).
  • the skinline enhanced image generation unit 31 performs binarization processing on the skinline enhanced image (FIG. 2), and not only the skinline SL but also the structure in the breast region E1 is enhanced.
  • a skinline enhanced image (FIG. 3) is generated.
  • the structure-enhanced image generating unit 32 emphasizes structures (mammary gland, fat, etc.) in the breast region E1 by performing Laplacian filter processing that is a second-order differential filter on the digital mammography image after reduction processing.
  • a structure emphasized image (FIG. 4) is generated (step S3).
  • the enhanced image composition unit 33 synthesizes the skinline enhanced image (FIG. 3) and the structure enhanced image (FIG. 4) to generate an edge enhanced image (FIG. 5) (step S4).
  • the reference image generation unit 4 generates a reference image (FIG. 6) by performing a closing process on the edge enhanced image (FIG. 5) (step S5).
  • the breast region detection unit 5 detects a breast region based on the reference image (FIG. 6) (steps S6 to S8).
  • the breast region detection unit 5 changes the threshold value of the density value for the digital mammography image, and searches for a threshold value that becomes a binary image closest to the reference image (FIG. 6) (step S6).
  • the breast region detection unit 5 sequentially increases the threshold value of the density value, sequentially compares the binarized image obtained thereby and the reference image, and searches for the threshold value that minimizes the number of non-overlapping pixels.
  • a flowchart is shown in FIG.
  • the breast region detection unit 5 acquires a binarized image based on the searched threshold value as a breast region candidate image (FIG. 7) (step S7).
  • the breast region detection unit 5 performs a labeling process on the acquired breast region candidate image (FIG. 7), and detects the region E11 having the largest area as a breast region (step S8).
  • the breast region detection method since the breast region is detected without using the histogram of density values, the influence of the imaging condition or the like is suppressed, and the breast region E1 is more accurately detected. Can be detected.
  • the edge-enhanced image (FIG. 5) is generated by synthesizing the skinline-enhanced image (FIG. 3) and the structure-enhanced image (FIG. 4).
  • the present invention is not limited to this.
  • the skinline enhanced image (FIG. 3) when the structure of the breast region E1 is sufficiently displayed to the extent that the breast region E1 is filled with a specific color in the subsequent closing process, the skin is displayed.
  • the line enhanced image may be an edge enhanced image.
  • the structure-emphasized image (FIG. 4) when the structure of the breast region E1 is sufficiently displayed to the extent that the breast region E1 is filled with a specific color in the subsequent process, the structure is displayed.
  • the object enhanced image may be an edge enhanced image.
  • an edge-enhanced image (FIG. 5) is generated by combining two or more types of emphasized images, a situation occurs in which an appropriate edge-enhanced image cannot be obtained due to the influence of shooting conditions and the like. This can be suppressed more reliably.
  • the edge-enhanced image (FIG. 5) is generated by performing the Sobel filter process and the Laplacian filter process, but the present invention is not limited to this.
  • the edge-enhanced image may be an image in which the structure of the breast region E1 is sufficiently displayed so that the breast region E1 is filled with a specific color in the subsequent process. That is, the edge-enhanced image (FIG. 5) may be generated by performing one or more other types of image processing.
  • another first-order differential filter process for example, a Prewitt filter process or the like
  • another secondary differential filter process may be performed instead of the Laplacian filter process.
  • the breast region E1 is completely filled with a specific color by the closing process.
  • the breast region E1 is specified by the closing process. It is also assumed that it is not completely filled with the color. In this case, the breast region E1 may be completely filled with a specific color by another process or by using a closing process and another process in combination.
  • the binarized image closest to the reference image is the breast region candidate image, but the present invention is not limited to this.
  • a predetermined standard for example, the contents of error check described later
  • the absence of a hole (a part not completely filled with a specific color) as shown in FIG. It may be a breast region candidate image. That is, an error check may be performed after step S5 in FIG. 11 to detect a breast region directly from the reference image if a predetermined reference is satisfied.
  • FIG. 15 shows a setting screen for error check processing.
  • the “predetermined reference” is, for example, the presence or absence of a hole in the breast region (see FIG. 12), the size of the breast region, the deviation of the vertical position of the breast region, and the complexity of the breast region.
  • the error check determines that an error has occurred, for example, an error is displayed on the screen, or the original digital mammography image is displayed on the screen. As a result, it is possible to inform the interpretation doctor that the accuracy of detection of the breast region is not sufficient.
  • the functions of the units 2 to 5 of the breast region detection system 1 may be realized by software.
  • the software may be provided by downloading or the like.
  • the software may be provided by being recorded on a computer-readable storage medium such as a CD-ROM.
  • region detection system 1 which concerns on this embodiment is the following programs. That is, the program includes an edge-enhanced image generation unit that generates an edge-enhanced image of a breast region based on a digital mammography image, and a process of filling the edge-enhanced image with a color different from a background region.
  • the present invention is useful for, for example, a breast region detection system, a breast region detection method, and a program that detect a breast region from a digital mammography image.

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Abstract

La présente invention concerne un système de détection de région mammaire comprenant : une unité de génération d'image à bord accentué qui génère une image à bord accentué d'une région mammaire sur la base d'une image de mammographie numérique ; une unité de génération d'image de référence qui génère une image de référence en soumettant l'image à bord accentué à un procédé de remplissage de la région mammaire avec une couleur différente d'une région d'arrière-plan ; et une unité de détection de région mammaire qui détecte la région mammaire sur la base de l'image de référence.
PCT/JP2017/029125 2016-08-10 2017-08-10 Système de détection d'une région mammaire, procédé de détection d'une région mammaire et programme WO2018030519A1 (fr)

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JP7452046B2 (ja) 2020-01-31 2024-03-19 株式会社Ｊｖｃケンウッド 表示制御装置、画像表示装置、制御方法および制御プログラム

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JP2004283281A (ja) * 2003-03-20 2004-10-14 Fuji Photo Film Co Ltd 画像処理装置及び画像処理方法
JP2011104149A (ja) * 2009-11-18 2011-06-02 Toshiba Corp マンモグラフィ装置

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JPH1099306A (ja) * 1996-09-30 1998-04-21 Fuji Photo Film Co Ltd 異常陰影候補の検出方法および装置
JP2004283281A (ja) * 2003-03-20 2004-10-14 Fuji Photo Film Co Ltd 画像処理装置及び画像処理方法
JP2011104149A (ja) * 2009-11-18 2011-06-02 Toshiba Corp マンモグラフィ装置

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7452046B2 (ja) 2020-01-31 2024-03-19 株式会社Ｊｖｃケンウッド 表示制御装置、画像表示装置、制御方法および制御プログラム

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