VRDS 4D Medical Image Processing for Spatial Structure Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current medical imaging technologies, such as CT and MRI, rely on two-dimensional slice images that fail to adequately represent the spatial structure characteristics of pathological tissues, limiting diagnostic accuracy.
Innovation Solution
A method and apparatus for processing VRDS 4D medical images, involving initial data analysis and post-processing to enhance and add spatial position information to image data sets, enabling the display of 3D images with real spatial structure characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If two-dimensional slice scanned images are used for medical imaging, then the imaging process is simple and fast, but the spatial structure characteristics of pathological tissue cannot be presented
Solution Approach 1:
The patent transforms two-dimensional medical image slices into three-dimensional virtual reality images by adding a temporal dimension (multiple time points) and spatial dimension (x, y, z coordinates). This dimensionality change enables the presentation of spatial structure characteristics while maintaining the simplicity of 2D scanning acquisition.
Solution Approach 2:
The patent introduces an intermediary processing system that includes image acquisition module, image processing module, and image display module. This intermediary system bridges the gap between simple 2D scanning and complex 3D visualization, automatically performing registration, rendering, and spatial structure extraction without requiring manual intervention.
2Measurement precision
If continuous two-dimensional slice images are displayed, then the imaging acquisition is straightforward, but diagnostic accuracy is limited
Solution Approach 1:
The patent creates virtual reality copies of the original medical image data, generating multiple 3D representations from the 2D slices. These virtual copies can be viewed from different angles and perspectives, allowing doctors to examine spatial structures without altering the original simple acquisition process.
Solution Approach 2:
The patent transforms static 2D images into dynamic 3D virtual reality images that can be rotated, zoomed, and examined from multiple perspectives. This dynamic visualization enhances diagnostic capability while the underlying processing is automated to maintain ease of operation.
3Measurement precision
If three-dimensional spatial structure information is added to medical images, then diagnostic capability is enhanced, but data processing complexity increases
Solution Approach 1:
The patent performs preliminary actions by automatically registering multiple 2D slices in advance to construct 3D spatial structures. The image processing module pre-computes spatial coordinates, tissue boundaries, and anatomical relationships, so that when doctors view the images, the complex processing has already been completed.
Solution Approach 2:
The patent merges multiple 2D image slices with different spatial positions and time points into a unified 3D virtual reality model. By combining the image data, spatial coordinates, and temporal information, the system achieves comprehensive spatial structure representation while consolidating processing operations into an integrated automated workflow.
Data Source
AI summary
Disclosed in embodiments of the present application are a method and a product for processing of VRDS 4D medical images, the method is applied to a medical imaging apparatus, and the method includes: performing initial data analysis processing on a plurality of scanned images to obtain an image source including image features of a target site of a target user; performing post-data processing on the image source to obtain N first image data sets; performing preset processing on the N first image data sets to obtain N second image data sets; performing VRDS 4D medical image display according to the N second image data sets. The embodiment of this application is facilitated to improve the refinement degree and accuracy of the medical imaging apparatus in performing medical image display.