Recursive filtering method for dynamic imaging and corresponding medical imaging device

Abstract

The invention discloses a recursive filtering method for dynamic imaging and a corresponding medical imaging device. The recursive filtering method comprises the following steps: S1, a neighborhood gradient value is used as a feedback coefficient to be introduced in a recursive filter structure, a recursive filter is formed, and the neighborhood gradient value decides output of the recursive filter in a recursive filter parameter index form; S2, according to requirements on image definition, a filtering layer number t is determined; S3, the recursive filter is adopted to carry out recursive filtering operation on the image at the kth layer, a kth-layer recursive filtering image is obtained and the kth-layer recursive filtering image is used as a (k+1)th-layer input image; and S4, k is gradually increased from 0, as each integer value is added, the step S3 is repeated until a (t+1)th-layer recursive filtering image is obtained, a tth-layer gain coefficient is combined, and a tth-layer scale image is obtained. The method of the invention can meet real-time requirements of dynamic imaging and can effectively suppress image blurring caused by interframe continuous movement, and good noise reduction effects are achieved.

Description

technical field [0001] The invention relates to a recursive filtering method for images, in particular to a recursive filtering method for dynamic imaging, and to a medical imaging device for realizing the recursive filtering method, belonging to the technical field of image processing. Background technique [0002] In recent years, medical diagnosis and treatment based on moving image capture using radiation (for example, X-rays) are prevailing. In imaging using radiation, the human body must be photographed at a low radiation dose to reduce exposure to radiation. [0003] In some dynamic imaging applications such as interventional surgery imaging, due to the limited dose, image acquisition noise will affect the quality of the acquired image. At the same time, because the application of interventional surgery imaging is dynamic imaging, continuous motion between frames will cause image blur. [0004] In this case, the recursive filtering method is usually used to smooth th...

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Problems solved by technology

However, the linear moving average filtering method is powerless to suppress the image blur caused by the continuous motion between frames. On the contrary, the smoothing operation performed by this filtering method will further aggravate the image blur, which cannot solve the problem of image blur in the dynamic imaging process such as interventional surgery imaging. , cannot meet the filtering requirements of the image

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