Bone segmentation boundary determination method, device, electronic equipment and storage medium

Abstract

The embodiment of the present invention discloses a bone segmentation boundary determination method, device, electronic equipment, and storage medium. The method includes: acquiring a sequence of original scanned image frames obtained by continuously scanning the target area of ​​the human body; The gray value of each pixel in the frame is used to determine the roughness image corresponding to each original scanned image frame; for each roughness image, determine the corresponding roughness image based on the grayscale enhanced image formula Gray-scale enhanced image: for each original scanned image frame, based on the gray-scale enhanced image corresponding to the original scanned image frame, determine the bone segmentation boundaries of the first bone and the second bone. Through the technical solutions of the embodiments of the present invention, the technical effect of improving the accuracy of bone segmentation boundary determination is achieved.

Description

technical field

[0001] The embodiments of the present invention relate to the field of medical technology, and in particular, to a method, device, electronic equipment, and storage medium for determining a bone segmentation boundary. Background technique

[0002] Image segmentation is widely used in the field of medical image analysis. In clinical operation planning, simulation and 3D visualization of human body, the complete segmentation of bones through medical images is of great significance.

[0003] Skeletal data is usually obtained through sequential medical images collected by computerized tomography (Computed Tomography, CT). The methods for bone structure segmentation based on CT images include traditional segmentation methods and deep learning methods. Traditional segmentation methods include filtering, automatic thresholding, morphological processing, etc. It is difficult to accurately distinguish the segmentation boundaries of bones and other tissues through tr...

Examples

Embodiment 1

[0035] figure 1 It is a schematic flowchart of a bone segmentation boundary determination method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where the bone boundary is determined after bone growth is performed according to the scanned image. The method can be determined by the bone segmentation boundary The device is determined to be executed. The device may be implemented in the form of software and / or hardware. The hardware may be an electronic device. Optionally, the electronic device may be a mobile terminal, a PC terminal, and the like.

[0036] Such as figure 1 As described, the method of this embodiment specifically includes the following steps:

[0037] S110. Acquire a sequence of original scanned image frames obtained by continuously scanning the target area of ​​the human body.

[0038] Wherein, the target area of ​​the human body may be an area for scanning, and the area includes two kinds of bones, the target ...

Embodiment 2

[0076] figure 2 It is a schematic flowchart of a bone segmentation boundary determination method provided by Embodiment 2 of the present invention. On the basis of the above-mentioned embodiments, this embodiment can refer to this implementation for the determination method of the roughness image and the determination method of the bone segmentation boundary. In the technical solution of the example, in this embodiment, the method of determining and using the edge information image and the enhanced peak-valley image is also added. Wherein, explanations of terms that are the same as or corresponding to the above embodiments are not repeated here.

[0077] Such as figure 2 As described, the method of this embodiment specifically includes the following steps:

[0078] S210. Acquire a sequence of original scanned image frames obtained by continuously scanning the target area of ​​the human body.

[0079] Wherein, the target area of ​​the human body includes the first bone and...

Embodiment 3

[0134] Figure 10It is a schematic structural diagram of a bone segmentation boundary determination device provided in Embodiment 3 of the present invention, which includes: a sequence acquisition module 310, a roughness image determination module 320, a grayscale enhanced image determination module 330, and a bone segmentation boundary determination module 340 .

[0135] Wherein, the sequence obtaining module 310 is used to obtain a sequence of original scanned image frames obtained by continuously scanning the target area of ​​the human body, wherein the target area of ​​the human body includes the first bone and the second bone; the roughness image determining module 320 uses Determine the roughness image corresponding to each original scanned image frame according to the gray value of each pixel in each original scanned image frame; wherein, the roughness image is based on the roughness value of each pixel Determine, the roughness value is determined based on the grayscal...

technical field

[0001] The embodiments of the present invention relate to the field of medical technology, and in particular, to a method, device, electronic equipment, and storage medium for determining a bone segmentation boundary. Background technique

[0002] Image segmentation is widely used in the field of medical image analysis. In clinical operation planning, simulation and 3D visualization of human body, the complete segmentation of bones through medical images is of great significance.

[0003] Skeletal data is usually obtained through sequential medical images collected by computerized tomography (Computed Tomography, CT). The methods for bone structure segmentation based on CT images include traditional segmentation methods and deep learning methods. Traditional segmentation methods include filtering, automatic thresholding, morphological processing, etc. It is difficult to accurately distinguish the segmentation boundaries of bones and other tissues through tr...

Examples

Embodiment 1

[0035] figure 1 It is a schematic flowchart of a bone segmentation boundary determination method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where the bone boundary is determined after bone growth is performed according to the scanned image. The method can be determined by the bone segmentation boundary The device is determined to be executed. The device may be implemented in the form of software and / or hardware. The hardware may be an electronic device. Optionally, the electronic device may be a mobile terminal, a PC terminal, and the like.

[0036] Such as figure 1 As described, the method of this embodiment specifically includes the following steps:

[0037] S110. Acquire a sequence of original scanned image frames obtained by continuously scanning the target area of ​​the human body.

[0038] Wherein, the target area of ​​the human body may be an area for scanning, and the area includes two kinds of bones, the target ...

Embodiment 2

[0076] figure 2 It is a schematic flowchart of a bone segmentation boundary determination method provided by Embodiment 2 of the present invention. On the basis of the above-mentioned embodiments, this embodiment can refer to this implementation for the determination method of the roughness image and the determination method of the bone segmentation boundary. In the technical solution of the example, in this embodiment, the method of determining and using the edge information image and the enhanced peak-valley image is also added. Wherein, explanations of terms that are the same as or corresponding to the above embodiments are not repeated here.

[0077] Such as figure 2 As described, the method of this embodiment specifically includes the following steps:

[0078] S210. Acquire a sequence of original scanned image frames obtained by continuously scanning the target area of ​​the human body.

[0079] Wherein, the target area of ​​the human body includes the first bone and...

Embodiment 3

[0134] Figure 10It is a schematic structural diagram of a bone segmentation boundary determination device provided in Embodiment 3 of the present invention, which includes: a sequence acquisition module 310, a roughness image determination module 320, a grayscale enhanced image determination module 330, and a bone segmentation boundary determination module 340 .

[0135] Wherein, the sequence obtaining module 310 is used to obtain a sequence of original scanned image frames obtained by continuously scanning the target area of ​​the human body, wherein the target area of ​​the human body includes the first bone and the second bone; the roughness image determining module 320 uses Determine the roughness image corresponding to each original scanned image frame according to the gray value of each pixel in each original scanned image frame; wherein, the roughness image is based on the roughness value of each pixel Determine, the roughness value is determined based on the grayscal...

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