Single-arm x-ray angiography image multiple motion parameter decomposition and estimation method

Abstract

The invention discloses a single-arm x-ray angiography image sequence multiple motion parameter decomposition and estimation method. The method includes the steps: (1) automatically selecting stable vascular structure feature points; (2) automatically tracking the selected vascular structure feature points in a whole angiography image sequence; (3) selecting a sequence (img file=' DDA0000450354970000011.TIF' wi=' 92' he=' 74' / ) with the length ns=k*N1(k>1) in a point tracking sequence s(n) (the N1 refers to the cycle of heart motion); (4) decomposing (img file=' DDA0000450354970000012.TIF' wi=' 96' he=' 64' / ) into x-direction motion x(n) and y-direction motion y(n), respectively performing EMD (empirical mode decomposition) for the x(n) and the y(n) to obtain independent motion signals after EMD; (5) correspondingly classifying the independent motion signals according to priori physiological knowledge. The method has wide applicability and flexibility, higher safety and operability and better reliability and accuracy.

Description

technical field [0001] The invention belongs to the cross technical field of digital signal processing and medical imaging, and in particular relates to a method for decomposing and estimating multi-motion parameters of a single-arm X-ray angiography image. Background technique [0002] Rhythmic expansion and contraction of the chest to complete inhalation and exhalation, which is breathing movement. The regular pulsation of the heart itself (cardiac movement), the movement of capillaries (high-frequency movement), respiratory movement, and the movement of people or the shaking of the hospital bed (translational movement) will all cause the overall translational movement of the human heart in three-dimensional space . In the X-ray contrast system, due to the comprehensive influence of the above movements, the coronary blood vessels will undergo two-dimensional translational movement on the imaging surface. Therefore, on the one hand, the coronary angiography image records ...

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Problems solved by technology

Relatively speaking, this method can obtain more reliable respiratory motion estimation results, but due to the constraints of the dual-arm X-ray angiography conditions, it cannot be widely used in practice, and this method cannot extract heart signals and respiratory signals motion signals other than

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