Shear deformable body drawing method based on anisotropic body data

Abstract

The invention discloses a shear mapping deformable body drawing method based on anisotropic body data, belonging to the technical field of image processing and comprising the following steps of constructing a three-dimensional data field, shear mapping, deforming and decomposing, resampling, synthesizing an intermediate image, deforming to obtain the final image, and the like. The invention is mainly improved on the steps of coordinate transformation, resampling, opacity correction and the like of an original shear mapping and deforming algorithm, can realize isotropy without cross-section interpolation operation after image data are constructed into a logic three-dimensional data field, and can directly implement body drawing operation based on an anisotropic data field, thereby not onlyreducing the preprocessing time, but also improving the data precision of images for drawing. In addition, a variable resampling mode is adopted in the implementation process, the sampling rate is reduced and the drawing speed is improved during mouse interaction, the sampling rate is increased and the image quality is improved when a final image is drawn, and meanwhile, the requirements for drawing speed and image precision are met.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a visualized three-dimensional image, in particular to a volume rendering method for directly performing staggered deformation for anisotropic volume data. Background technique [0002] The auxiliary role of medical images in doctors' diagnosis is becoming more and more obvious. Converting a two-dimensional slice image sequence into a three-dimensional image with an intuitive three-dimensional effect can greatly improve the accuracy and scientificity of medical diagnosis and treatment planning. Traditional 3D visualization methods are divided into surface rendering and volume rendering, and volume rendering mainly includes: [0003] 1. Raycasting method: In the set observation direction, a ray is emitted from each pixel of the screen and passes through the three-dimensional data field, and resampling and image synthesis are performed along the ray to finally form the image...

AI Technical Summary

Problems solved by technology

Image interpolation is a very arbitrary problem. An inappropriate interpolation algorithm directly affects the accuracy of the interpolated image and affects the quality of the final drawn image.

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