Key point information-based method and system for evaluating orbital soft tissue morphology and equipment

Abstract

The method comprises the steps of registering three-dimensional face data by using a large scale face model (LSFM), and performing calibration and normalization on the three-dimensional face data by taking a coordinate space where a standard movable model is located as the basis; The invention provides a key point information-based method and system for evaluating orbital soft tissue morphology and equipment. recording feature point indexes and the number of feature points of left and right eye areas, and extracting the feature points in the left and right eye areas; judging whether an operation area is located at the left eye or the right eye by employing a linear regression model, including obtaining average displacement matrixes from corresponding left and right eye feature point areasbefore and after an operation in the three-dimensional face data and whether the operation is performed on corresponding areas or not, then, obtaining independent variables and dependent variables oflinear regression, and working out weight values of influences of directions on a result; calculating an average displacement matrix of an operation eye area and a standard movable model and an average displacement matrix of a non-operation eye area and the standard movable model, and setting a threshold value to judge the recovery condition of orbital soft tissues after the operation. The methodand the system make the accuracy reach 90%.

Description

technical field [0001] The invention relates to the field of three-dimensional image processing, in particular to a method, system and equipment for evaluating the shape of orbital soft tissue based on three-dimensional information of key points. Background technique [0002] The diagnosis, treatment plan decision-making, and curative effect evaluation of orbital diseases mainly rely on CT and MRI data of patients. In recent years, with the increasing demand for aesthetics, medical decisions based on patients' subjective feelings and patient-reported outcomes have received more and more attention. Therefore, based on the pre-judgment of imaging, the judgment based on facial measurement has gradually become a new factor in the decision-making of imaging orbitopathy. Orbital diseases include vascular diseases, tumor diseases, trauma, inflammation, etc. Many diseases, such as thyroid-associated ophthalmopathy (TAO) and orbital fractures, can undergo multiple, rapid, and short-...

AI Technical Summary

Problems solved by technology

In the past, the evaluation of such content was only based on the subjective feelings of both doctors and patients, and repeatable quantitative evaluation could not be performed. Therefore, it could not be used as a reliable observation index, and it also seriously reduced the participation of patients' perspective in the process of disease diagnosis and treatment.

[0004] At present, there is no description or report of the similar technology of the present invention, and no similar data at home and abroad have been collected yet.

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