Acquisition method for anatomical parameters of femur and acetabulum based on CT three-dimensional sequence image

Abstract

The present invention discloses an acquisition method for anatomical parameters of femur and acetabulum based on CT three-dimensional sequence image. The method comprises the steps of: acquiring a CT three-dimensional sequence image with femur and acetabulum; segmentation of the femur and the acetabulum: performing coarse segmentation, separation and precise segmentation on the CT three-dimensional sequence image sequentially, to obtain a femoral precise segmentation image and an acetabular precise segmentation image; calculation of anatomical parameter of femur: according to the femoral precise segmentation image, constructing a triangular mesh surface model of a femoral surface, calculating a femoral diameter parameter, a medullary cavity inner diameter parameter and a spherical fitting parameter of a femoral head; and calculation of anatomical parameter of acatabulum: selecting the acetabular precise segmentation image to construct multiple surface points of a triangular mesh surface model of an acetabular surface, and calculating anteroposterior diameter of the acetabulum. According to the method, the CT three-dimensional sequence image is directly processed, and precise segmentation of femur and acetabulum and acquisition of anatomical parameters are rapidly and automatically realized, so as to assist in individualized design and modeling of artificial bone prosthesis.

Description

technical field [0001] The present invention relates to the parameter calculation technical field of femur and acetabulum, more specifically, the present invention relates to a kind of femur and acetabular anatomical parameter acquisition method based on CT three-dimensional sequence image. Background technique [0002] In the hemihip replacement clinical operation for the treatment of femoral head necrosis, the acetabular bone morphology of different patients is very different. If a standard artificial femoral head prosthesis is used for replacement, the postoperative effect is not ideal. The personalized design of the prosthesis is very necessary. [0003] At present, the following technical solutions are often used to solve this problem; 1. Manual segmentation, and the operator manually performs segmentation and extraction; 2. Using a large amount of hip joint image data as a training set, the statistical shape of the acetabulum is obtained through training or the general...

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Problems solved by technology

[0004] However, the above-mentioned prior art has the following defects: First, the shape of each patient's hip joint is very different, and the obtained prior shape is difficult to match with the specific patient, and the doctor measures the anatomical parameters of the acetabulum and femur generally in two dimensions. Manually performed on the image, such as X-ray fluoroscopy or CT two-dimensional tomogram, this causes a large error in measurement, so the segmentation result obtained by the prior shape is not accurate, and cannot solve the personality of the acetabulum and femoral head 2. The whole process requires complex manual interaction, which requires high experience of operators, and the segmentation results obtained by different operators may vary greatly; 3. If intelligent algorithms are used, a large number of data set samples need to be accumulated , to ensure that the results are relatively correct, it is very difficult to achieve, and it is difficult for general non-medical college affiliated hospitals to accumulate enough samples

However, the basic idea of ​​these disclosed technical solutions is to segment the femur layer by layer in the CT tomographic image to achieve the purpose of femur segmentation and modeling, and does not provide an effective method for accurate simultaneous segmentation of the acetabulum and femur. No automatic measurement of anatomical parameters for acetabular measurements

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