Two-dimensional transfer function body data identification method based on distance transformation watershed algorithm

Abstract

The invention discloses a two-dimensional transfer function body data identification method based on a distance transformation watershed algorithm. The method includes: firstly, traversing voxels belonging to a transfer function already set by a user, filling and complementing the voxels, classifying the voxels by utilizing the watershed algorithm according to corresponding negative values of distant transformation, and identifying interested structures overlapped in a transfer function space. A watershed method is over-dependent on computed distance values as a result of over-segmentation of the interested structures, leading to wrong classification or incapability of segmenting structures connected in space, therefore the problem is solved by correcting the distance values according to distance features of the voxels inside the interested structures. On the premise that a new dimension of the transfer function space is not added, each structure is identified by the aid of the distance transformation watershed algorithm, and covering of uninterested structures on the interested structures can be removed. Even when the structures are connected spatially and gray values are similar, satisfactory identification effect can be obtained.

Description

technical field [0001] The invention belongs to the field of three-dimensional visualization in computer graphics, and in particular relates to a new method for identifying structures of interest in volume data, that is, using a watershed algorithm of distance transformation to identify structures of interest overlapping in a two-dimensional transfer function space. method. Background technique [0002] With the continuous progress of modern science and technology, new image acquisition technologies (such as CT, MRI, etc.) are gradually applied in medicine, which improves the ability of doctors to detect diseases, and also generates a large amount of medical 3D volume data that needs to be analyzed. . Because the rendering result of Direct Volume Rendering is directly generated by all voxels in the entire volume data, that is, an image of the entire volume data containing different structural details in the volume data is generated. Therefore, it can not only provide the d...

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Problems solved by technology

[0006] In order to solve the problem that different interested structures overlap in the existing two-dimensional transfer function space (this overlapping problem cannot be identified by setting the transfer function), the present invention proposes a two-dimensional transfer function based on the watershed algorithm of distance transformation Volume data recognition method, utilizing the watershed algorithm based on distance transformation has the ability to segment the structure connected in space, the present invention introduces it into the design process of transfer function, and because it is more sensitive to the calculated distance value, thus Over-segmentation of structures of interest leads to misclassification or spatially connected structures cannot be separated, so the present invention corrects the distance value according to the distance characteristics of voxels inside the structure of interest to solve this problem

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