Automatic detection and correction method for head inclination in CT image

Abstract

The invention belongs to the technical field of radiotherapy, and relates to an automatic detection and correction method and device for head inclination in a CT image and a storage medium. The methodcomprises the following steps: carrying out binarization operation on a whole body CT image; searching the maximum communication area, deleting all non-maximum communication areas, removing non-mainbody parts in each layer of CT image, and only retaining the main body parts; judging a boundary layer of the shoulder part and the neck part; determining an optimal jaw layer; carrying out ellipse fitting on the jaw area in the optimal jaw layer; recording the centroid of the jaw bone and the centroid of the fitting ellipse; and determining the body position and implementing head correction. Theinclination angle and orientation of the head in the CT image can be rapidly and effectively detected, and accurate parameter information is provided for inclination correction of the head image. Themethod has the advantages of being low in calculation complexity, short in consumed time, high in noise resistance and good in data adaptability. The method can also be expanded and applied to human body inclination correction under different scenes, and has good expandability.

Description

technical field [0001] The invention belongs to the technical field of radiotherapy, and relates to an automatic detection and correction method, device and storage medium for head tilt in CT images. Background technique [0002] Automated computed tomography (CT) medical image analysis and diagnosis technology usually has certain requirements for the image morphology to be analyzed. Taking the algorithm for automatically detecting eyes in head CT images as an example, in order to reduce the space search time and error probability of the algorithm, it is usually assumed that the scanned object is in a specific scanning position (such as a supine position). However, in clinical practice, the scanned object often participates in the scan with the head tilted due to various reasons (such as coma, doctor's order, etc.). The resulting CT images obtained from different scanning body positions will greatly increase the error probability of the image analysis algorithm. In order t...

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Problems solved by technology

[0003] At present, the method of tilt correction for medical images mainly serves medical image registration. When it is applied to the tilt detection and correction of the head in CT images, the existing methods based on image geometric moment, image inertia matrix, and singular value decomposition Other medical image tilt correction methods have problems such as high computational complexity, long time consumption, poor noise immunity, and poor data adaptability, and their performance and robustness in practical applications are not high.

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