A semi-automatic segmentation sequential optimization registration method

A sequential optimization, semi-automatic technology, applied in image analysis, image enhancement, instrument and other directions, can solve the problems of increased number of registrations, time-consuming, registration errors, etc., and achieve the effect of reducing time-consuming
CN109767458AActive Publication Date: 2019-05-17NORTHWEST UNIV(CN)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NORTHWEST UNIV(CN)
Publication Date
2019-05-17

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Abstract

The invention discloses a semi-automatic segmentation 2D-3D sequential optimization registration method. The method comprises the steps that a CT sequence containing bone tissue is traversed, corner points are extracted through a Curveur Scale (CSS) algorithm, the bone tissue range is iteratively expanded, and plane segmentation is utilized to obtain volume data of all segments; a sequential optimization registration method is adopted, the initial registration parameters are obtained in a solution space according to the sequence, and finally a step acceleration method is used in a very small range for optimization search. According to the present invention, the problems that the preoperative CT and intraoperative X-ray shooting time are different, and the bone tissues generate the relativemotion, and the registration time is increased along with the increase of the number of segments, are solved, and the time complexity is reduced to O (6n).
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Description

technical field

[0001] The invention belongs to the field of medical image registration, and in particular relates to a semi-automatic segmentation sequential optimization registration method. Background technique

[0002] In traditional orthopedic surgery, the surgeon needs to rely on clinical experience, combined with preoperative CT or X-ray images, to build a three-dimensional model of the bone structure in the brain to locate the lesion. Excessive reliance on doctors' clinical experience and lack of medical imaging evidence. With the development of computer-aided surgery systems, there has been a navigation system that reconstructs preoperative CT data into three-dimensional volume data and combines intraoperative X-ray images for surgery. It not only provides an objective imaging basis for the operation, but also makes the entire operation process visualized.

[0003] The key to the research of surgical navigation is the registration of multimodal medical images. 2D...

Claims

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