Volume data identification method of two-dimensional transfer function based on airspace information

Abstract

The invention discloses a volume data identification method of a two-dimensional transfer function based on airspace information. Volume pixels belonging to a classifier are searched and then are classified through a boundary tracing method with the combination of connectivity, interested organizations are identified, a new transfer function space is formed through subtraction operation of a set, the effects on a characteristic space and a final drawing result by the identified organizations are omitted, so that a user can understand the characteristic space well, the appropriate transfer function can be designed, and therefore the satisfactory volume drawing result can be obtained. The airspace information is applied to volume data under the condition that the dimensionality of the transfer function is not increased, the new transfer function is regenerated according to the processed volume data, the transfer function is more beneficial to the understanding of the user, and therefore the better transfer function is designed. Set operation of the volume data is introduced into the design process of the transfer function through the airspace information, the principle is simple and realization is easy.

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, a volume data identification method based on a two-dimensional transfer function of spatial domain information. Background technique [0002] Direct Volume Rendering is a very important and practical reconstruction method for visualizing 3D volume data. Different from the traditional way that radiologists directly observe two-dimensional slices, volume rendering not only presents the important anatomical structure information that only exists in the brain of radiologists in a three-dimensional form to facilitate communication with different doctors, but also It provides users with more abundant spatial information, so that they can spatially identify the positional relationship between the organ or lesion of interest and the surrounding tissue, as well as it...

AI Technical Summary

Problems solved by technology

However, since the different attribute values ​​in the multidimensional transfer function are not completely independent, which attributes to select for each volume data to form a high-dimensional transfer function to achieve the optimal classification effect for the data is an urgent problem to be solved. problem; as the dimension of the transfer function space increases, the time it takes to calculate these attribute values ​​will increase significantly, and the high-dimensional transfer function is not conducive to the user's intuitive understanding and interactive operation, so as to design a suitable transfer function

Therefore, although the high-dimensional transfer function can enhance the classification ability of the feature space, its scope of application and practical methods still need to continue to be studied.

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