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A Method of Automatically Measuring Cobb Angle

An automatic measurement and automatic technology, applied in the directions of diagnostic recording/measurement, image enhancement, instrument, etc., can solve the problem of relying on prior knowledge, etc., and achieve the effect of high robustness, small error, and stable results

Active Publication Date: 2021-07-06
ANHUI UNIVERSITY
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  • Application Information

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Problems solved by technology

[0004] Although the above-mentioned method of computer-aided measurement of Cobb angle improves the efficiency of Cobb angle measurement, it still needs to manually establish the upper and lower end vertebrae, which undoubtedly increases the possibility of Cobb angle measurement errors, making the process of Cobb angle measurement more dependent on the operator prior knowledge of

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  • A Method of Automatically Measuring Cobb Angle
  • A Method of Automatically Measuring Cobb Angle
  • A Method of Automatically Measuring Cobb Angle

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Embodiment Construction

[0047] The content of the present invention will be described below in conjunction with specific embodiments.

[0048] like figure 1 and figure 2 Shown is a schematic diagram of the Cobb angle measurement method and a schematic diagram of the Cobb angle calculation. The method of the present invention, its specific algorithm process includes: image preprocessing (sharpness and contrast enhancement) → semi-automatic segmentation (enhanced watershed segmentation algorithm (combined K-means segmentation algorithm and watershed segmentation algorithm) to the input spine image) )→For each segmented spine region, extract the center point of the region through the idea of ​​spatial moments→Use the sixth-order polynomial curve to fit multiple regional center points into a curve→Derivate each center point in the curve to find The slope of the tangent line at the curve where each center point is located → calculate the Cobb angle through the slope of the tangent line.

[0049] It wi...

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Abstract

The invention discloses a method for automatically measuring the Cobb angle. The method comprises the following steps: Step 1: preprocessing; Step 2: enhanced watershed segmentation algorithm; Step 3: extracting each vertebra center point and fitting the curve; Step 4 : Automatic calculation of Cobb angles. The method of the present invention does not need to manually establish the upper and lower terminals, so that the algorithm has higher robustness, and is applicable to operators with less Cobb angle measurement experience; the curvature of the spine is represented by means of segmentation-extracting the center point and fitting the curve, further It can be used in the diagnosis of symptoms such as spondylolisthesis and fractures. In this way, the curvature of the spine can be effectively and intuitively displayed; the result of this method is stable and the error is small.

Description

technical field [0001] The invention relates to a method for automatically measuring the Cobb angle, in particular to a method for automatically measuring the Cobb angle with a robust spine image segmentation algorithm, belonging to the field of medical image processing and the technical field of computer-aided measurement. Background technique [0002] Scoliosis, also known as scoliosis, is a three-dimensional deformity of the spine, including sequence abnormalities in the coronal, sagittal and axial positions, lateral deviation of the spine and axial rotation of the vertebrae. The Cobb angle has become a quantitative indicator for doctors to diagnose scoliosis patients. Imaging experts measure the Cobb angle by manually establishing the upper and lower end vertebrae of scoliosis, and then use a protractor to measure the angle between the two terminal ends. However, using this method to measure Cobb angle makes the measurement result of Cobb angle more dependent on the sub...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/60G06T7/11G06T7/187G06K9/62A61B5/107
CPCA61B5/1071G06T7/11G06T7/187G06T7/60G06T2207/30012G06F18/23213
Inventor 王年涂勇成陈和木童飞唐俊
Owner ANHUI UNIVERSITY