Cerebral rotational angiography-based three-dimensional reconstruction method

Abstract

The embodiment of the invention provides a cerebral rotational angiography-based three-dimensional reconstruction method, which comprises the following steps of: acquiring a two-dimensional digital subtraction image sequence of cerebral vessel, and preprocessing the acquired image sequence to obtain pre-reconstruction data of the cerebral vessel; checking the validity of the image sequence and the validity of two-dimensional image pixel data in turn according to the pre-reconstruction data, and performing frequency-domain spatial data completeness correction on the final image data to obtain the finally corrected image data; and performing three-dimensional reconstruction by adopting a Feldkamp, Davis and Kress (FDK) algorithm according to the finally corrected image data to obtain the three-dimensional reconstruction data information of the cerebral vessel. Through the method, the influence and interference on a plurality of factors in the process of acquiring rotational angiography image sequences can be reduced, the three-dimensional reconstruction artefect is inhibited and the three-dimensional reconstruction accuracy is improved.

Description

technical field [0001] The invention relates to the field of medical equipment, in particular to a method for performing three-dimensional reconstruction based on cerebrovascular rotation angiography. Background technique [0002] At present, in the field of medical equipment, X-ray angiography is the best means for accurate diagnosis and effective treatment of cerebrovascular diseases. The X-ray C-arm rotary imaging system can assist doctors to achieve minimally invasive interventional treatment of diseased blood vessels, and has the characteristics of low-invasiveness, simplicity, safety and quick efficacy. However, the conventional 2D contrast images are perspective projection images, which enlarge and project the 3D morphology and structure of cerebral vessels on the 2D images. Lesioned vessels and surrounding vessels are prone to overlap and interfere with each other, affecting correct diagnosis and treatment. [0003] The 3D reconstruction technology developed in rece...

AI Technical Summary

Problems solved by technology

[0004] However, the existing 3D reconstruction technology has strict requirements on the image data source of rotational contrast. For example, when the contrast agent does not match well with the rotational acquisition time, some images will lack vascular imaging information; occasional errors caused by the rotational movement of the C-arm Or detector position deviation, etc., will also lead to the deviation of image acquisition angle; reasons such as vascular atherosclerosis or insufficient syringe thrust will cause poor contrast agent filling of blood vessels on some images; motion artifacts caused by the movement of imaging objects The image acquisition effect is also poor; or the data source of some areas on the image is relatively poor, such as teeth, metal objects and other high-density target imaging areas with large noise and poor image information. It will also affect the quality of image acquisition

It can be seen that in the existing 3D reconstruction technology, a variety of imaging factors will have a greater impact on image acquisition, thereby affecting the final 3D imaging results

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