3D Volume-panorama Image Generation via Partial Region Alignment
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Solution Overview
Problem
Current medical imaging technologies face limitations in generating comprehensive, high-resolution volume-panorama images from multiple 3D volume images, which restricts the field of view and accuracy in observing internal structures.
Innovation Solution
A method involving the extraction of partial regions from volume images based on voxel intensities, determining a global conversion function to align morphological characteristics, and generating image data for combining these images to create a wider field of view volume-panorama image, utilizing an apparatus with input, processing, and output units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple 3D volume images are synthesized to create a volume-panorama image, then the field of view is expanded, but the alignment accuracy and morphological consistency between images deteriorate
Solution Approach 1:
The patent divides the volume images into multiple partial regions and processes each region separately to establish conversion functions. This segmentation allows for more precise local alignment while achieving global field of view expansion through composition of multiple accurately aligned regions.
Solution Approach 2:
The patent applies different conversion functions to different partial regions of the volume images, allowing each region to be transformed with its own optimized parameters. This local quality approach maintains morphological consistency within each region while enabling overall panorama construction.
2Measurement precision
If conversion functions are determined between partial regions, then the processing precision is improved, but the computational complexity increases
Solution Approach 1:
The patent segments the complex global alignment problem into multiple simpler partial region conversions. By determining conversion functions for smaller partial regions individually, the computational complexity of each sub-problem is reduced while maintaining high precision through localized optimization.
Solution Approach 2:
The patent focuses computational resources on determining conversion functions for selected partial regions rather than processing entire volume images. This partial action approach achieves sufficient precision for panorama construction without the excessive computational cost of full-image processing.
Data Source
AI summary
A method and apparatus to generate a volume-panorama image based on three-dimensional (3D) volume images is provided. A method of generating a volume-panorama image includes receiving pieces of image data of one or more volume images, extracting partial regions including one or more voxels from the volume images, determining a global conversion function representing a relationship of a conversion between a second volume image of the volume images and a first volume image of the volume images, the determined global conversion function being based on a conversion function representing a relationship of a conversion between one of the extracted partial regions of the second volume image and one of the extracted partial regions of the first volume image, and generating image data of a volume image to be combined with the first volume image from image data of the second volume image based on the determined global conversion function.