3D Ultrasonic Image Processing for Standard Section Identification
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Solution Overview
Problem
Current ultrasonic diagnostic equipment faces challenges in efficiently obtaining precise standard section images from 3D volume data, requiring skilled operators with 3D spatial imagination and medical anatomy knowledge, leading to low efficiency and variability in image accuracy due to manual processing and positioning issues.
Innovation Solution
A method and system for processing 3D image data that automatically identifies standard transverse section images from 3D volume data using image characteristic analysis, extracting candidate images, calculating similarity indices, and selecting the most appropriate image based on pre-defined conditions, thereby facilitating accurate and efficient image acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processing and positioning methods are used to obtain standard section images from 3D volume data, then operator control and flexibility are maintained, but efficiency is low and variability in image accuracy occurs
Solution Approach 1:
The system performs automatic identification and extraction of standard transverse section images from 3D volume data without requiring manual operator intervention. The computer automatically analyzes image characteristics, calculates similarity indices, and selects the most appropriate images, making the system self-sufficient in completing the image acquisition task.
Solution Approach 2:
The patent replaces manual mechanical positioning and image selection operations with automated computer-based image processing algorithms. The system uses automatic identification methods including characteristic line detection, region analysis, and similarity calculation to substitute for operator-dependent manual processes.
2Productivity
If automatic identification methods are used to obtain transverse section images, then efficiency and precision are improved, but operator dependency increases
Solution Approach 1:
The system performs automatic identification and extraction of standard transverse section images from 3D volume data without requiring manual operator intervention. The computer automatically analyzes image characteristics, calculates similarity indices, and selects the most appropriate images, making the system self-sufficient in completing the image acquisition task.
3Measurement precision
If skilled operators with 3D spatial imagination and medical anatomy knowledge are required, then image selection quality is maintained, but training requirements and operational complexity increase
Solution Approach 1:
The patent replaces manual mechanical positioning and image selection operations with automated computer-based image processing algorithms. The system uses automatic identification methods including characteristic line detection, region analysis, and similarity calculation to substitute for operator-dependent manual processes.
Solution Approach 2:
The system performs automatic identification and extraction of standard transverse section images from 3D volume data without requiring manual operator intervention. The computer automatically analyzes image characteristics, calculates similarity indices, and selects the most appropriate images, making the system self-sufficient in completing the image acquisition task.
Data Source
AI summary
A method for display processing of 3D image data includes obtaining 3D volume data of the head of a target body; detecting a transverse section at an anatomical position from the 3D volume data according to image characteristic of the head of the target body in a transverse section related to the anatomical position; and displaying the transverse section.


