3D Image Augmentation Preserving Spatial Characteristics
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Solution Overview
Problem
Current three-dimensional image data augmentation methods often lose three-dimensional characteristics when processing data, resulting in reduced authenticity of augmented images.
Innovation Solution
The method involves acquiring three-dimensional sample images, rotating them to obtain radial slices on different sections (transverse, median sagittal, and coronal), performing interpolation processing on these initial images to generate augmented images, and adding them to datasets, thereby preserving three-dimensional characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If three-dimensional image data is processed by converting to two-dimensional image data or processing in 2.5 dimensions, then data augmentation can be performed, but the three-dimensional characteristics of the data are lost, resulting in reduced authenticity of augmented three-dimensional image data
Solution Approach 1:
The patent applies dimensionality change by performing data augmentation operations directly in three-dimensional space rather than converting to two dimensions. The method rotates the three-dimensional image data along the vertical axis to generate radial slice images at different angles, maintaining the three-dimensional structure throughout the augmentation process. This resolves the contradiction by enabling data augmentation (increasing quantity) while preserving three-dimensional characteristics (maintaining precision).
Data Source
AI summary
A method and an apparatus for augmenting data of a three-dimensional image, an electronic device and a storage medium are provided. The method includes acquiring at least one three-dimensional sample image to be augmented; rotating, for each three-dimensional sample image, the three-dimensional sample image according to a predetermined rotation angle to obtain an initial sample image of a radial slice of the three-dimensional sample image on a transverse section, an initial sample image of the radial slice of the three-dimensional sample image on a median sagittal section and an initial sample image of the radial slice of the three-dimensional sample image on a coronal section; performing interpolation processing on a plurality of initial sample images to obtain a plurality of augmented sample images; and adding the plurality of augmented sample images into corresponding datasets to obtain an augmented three-dimensional sample image set.