Virtual Patient Model for CT Imaging Alignment
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Solution Overview
Problem
Current CT imaging processes are inefficient due to the need for time-consuming data capture and high staffing levels to accurately determine patient dimensions and adjust medical engineering devices, as they typically rely on two-dimensional contour images from a single direction.
Innovation Solution
A method and apparatus for creating a virtual patient model using image data from multiple directions and positions, incorporating various sensor data to generate a digital 3D model that can be adjusted automatically for precise alignment with medical engineering examination apparatuses, including cameras and terahertz sensors, to improve examination preparation and reduce manpower requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional 2D contour imaging from a single direction is used, then the device complexity is low, but the measurement precision of patient dimensions is insufficient
Solution Approach 1:
The patent transitions from 2D contour imaging to 3D volumetric imaging by introducing multiple imaging directions and positions. The system captures images from anterior, posterior, lateral, and oblique views, then reconstructs a 3D model of the patient's body, enabling accurate dimension measurement in all spatial dimensions.
Solution Approach 2:
The imaging process is divided into multiple discrete imaging steps, each capturing specific body regions from specific angles. The body is segmented into different anatomical regions that are imaged separately and then integrated into a comprehensive 3D model, allowing focused high-precision measurement of critical dimensions.
2Manufacturing precision
If comprehensive patient data is captured manually, then the examination preparation accuracy is improved, but the loss of time and productivity decrease
Solution Approach 1:
The system enables automatic self-measurement where the patient's body dimensions are captured automatically through the imaging system without requiring manual measurement by staff. The imaging apparatus autonomously captures, processes, and stores dimensional data, eliminating the need for manual data collection while maintaining high accuracy.
Solution Approach 2:
Patient dimensional data is captured in advance during the imaging preparation phase, before the actual medical examination begins. This preliminary capture of anatomical information allows the examination parameters to be pre-configured based on accurate patient measurements, streamlining the subsequent examination process.
3Manufacturing precision
If comprehensive patient data is captured manually, then the examination preparation accuracy is improved, but the staffing requirements and device complexity increase
Solution Approach 1:
The imaging system performs multiple functions simultaneously: it captures diagnostic images, measures patient dimensions, creates 3D models, and extracts anatomical landmarks. This multi-functional approach consolidates what would otherwise require separate devices and manual processes into a single integrated system, improving accuracy without proportionally increasing complexity.
Solution Approach 2:
Manual mechanical measurement processes are replaced with automated optical imaging and computational analysis. The system uses image processing algorithms and 3D reconstruction techniques to automatically determine patient dimensions, eliminating the need for manual measurement tools and human operators.
4Measurement precision
If 3D imaging from multiple directions is implemented, then the measurement precision is improved, but the use of energy and device complexity increase
Solution Approach 1:
The imaging system captures data in periodic discrete steps rather than continuous imaging. Images are acquired at specific intervals and positions (anterior, posterior, lateral views), with the imaging source and detector moving between discrete positions. This periodic sampling approach reduces total energy consumption compared to continuous 360-degree imaging while maintaining sufficient measurement precision.
Data Source
AI summary
A method for creating a virtual patient model includes acquiring image data of the patient from a number of directions and in a number of positions of the patient. A virtual patient is created based upon the acquired image data. The virtual patient is adjusted to a posture of the patient during a planned examination with a medical engineering examination apparatus. A patient model creation apparatus is also described. Moreover, a medical engineering examination system is described.