3D Medical Image Visualization via Anatomical Segmentation
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Solution Overview
Problem
Current methods for visualizing 3D medical image data often struggle to adapt visualization settings to specific anatomical structures, leading to inadequate representation of individual structures and potential hiding of clinically relevant details.
Innovation Solution
A method that selects specific anatomical objects within 3D medical image data, performs analysis-based visual parameter mapping, and applies tailored visual parameter mappings during rendering to enhance the visualization of individual structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If global visual parameter mapping is applied to entire 3D medical image data, then rendering process is simple and fast, but specific anatomical structures cannot be adequately visualized and clinically relevant details may be hidden
Solution Approach 1:
The patent segments the 3D medical image data into multiple regions of interest (ROIs) corresponding to different anatomical structures. Each ROI is processed separately with its own visual parameter mapping, allowing specific structures to be optimized for visualization while maintaining overall rendering efficiency. This segmentation resolves the contradiction by enabling structure-specific visualization without requiring complete redesign of the entire rendering pipeline.
Solution Approach 2:
The patent applies different visual parameter mappings to different anatomical structures based on their specific visualization requirements. Instead of using a single global mapping, the system determines optimal visual parameters (color, opacity, contrast) locally for each anatomical structure type, thereby improving visualization accuracy for each specific structure while maintaining the simplicity of the overall rendering process.
2Measurement precision
If manual adjustment of visual parameters is performed for each anatomical structure, then visualization quality improves, but user input time and operational complexity increase
Solution Approach 1:
The patent implements automatic determination of visual parameters for each anatomical structure based on its characteristics and clinical relevance. The system self-adjusts visual parameters without requiring manual user input, thereby maintaining high visualization quality while eliminating time-consuming manual adjustment. The automatic parameter determination is based on pre-established rules and algorithms that analyze the anatomical structure properties and generate appropriate visual mappings autonomously.
3Reliability
If comprehensive analysis of all anatomical structures is performed, then visualization completeness improves, but processing time and computational complexity increase
Solution Approach 1:
The patent applies partial analysis by focusing computational resources on specific anatomical structures that are most clinically relevant or have the most distinctive visual characteristics. Instead of uniformly processing all structures with equal intensity, the system selectively applies comprehensive analysis to key structures while using simplified processing for less critical areas, thereby maintaining visualization completeness for important structures while improving overall rendering speed.
Data Source
AI summary
A method for use in generating a computer-based visualization of 3D medical image data is described. The method includes receiving 3D medical image data and performing a selection process to select first image data forming a first portion of the 3D medical image data, the first image data representing a first anatomical object of a given type. An analysis process is performed on the first image data, a parameter of the analysis process being based on the given type of the first anatomical object. Based at least in part on a result of the analysis process, a visual parameter mapping for the first portion is determined, for use in a rendering process for generating a visualization of the 3D medical image data. Also described is a method of generating a computer-based visualization of 3D medical image data and an apparatus for performing the methods.