Virtual Subject Modeling for Accurate Medical Scan Positioning
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Solution Overview
Problem
The process of subject positioning in medical imaging and treatment is complicated, time-consuming, and lacks accuracy, often impairing the efficiency of imaging and treatment processes.
Innovation Solution
A method and system that generates a reference subject model based on feature information and scan protocol, transforms it into a target subject model using rendering parameters, integrates it with image data, and adjusts the subject's posture for accurate positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual positioning instruction is used, then positioning can be achieved, but the process is complicated and time-consuming
Solution Approach 1:
The patent creates a virtual model (copy) of the subject based on initial imaging data, and uses this virtual model to simulate and predict the subject's position and posture. This allows the system to determine optimal positioning parameters without requiring complex manual adjustment processes, thereby reducing positioning time while maintaining accuracy.
Solution Approach 2:
The patent replaces the manual mechanical positioning process with an automated computational system. The system uses image processing algorithms and virtual model simulation to automatically calculate positioning parameters, substituting the mechanical/manual adjustment process with an automated information processing approach that is both faster and more precise.
2Measurement precision
If manual positioning instruction is used, then positioning can be achieved, but accuracy is low
Solution Approach 1:
By creating a virtual model (copy) of the subject that mirrors their physical characteristics and anatomical features, the system can perform precise positioning calculations in the virtual space. This virtual copy allows for accurate prediction of positioning parameters without requiring complex physical adjustment mechanisms, thereby improving accuracy while controlling system complexity.
Solution Approach 2:
The patent introduces a virtual model as an intermediary between the imaging system and the subject. This intermediary enables precise measurement and calculation of positioning parameters by providing a digital representation that can be analyzed computationally, improving measurement precision without directly increasing the complexity of the physical positioning system.
3Productivity
If user instruction is provided personally, then positioning can be achieved, but efficiency of imaging process is impaired
Solution Approach 1:
The patent replaces the manual instruction process with an automated system that uses virtual model simulation to determine positioning parameters. This substitution eliminates the time-consuming back-and-forth between operator and subject, allowing positioning to be determined automatically and efficiently, thereby improving overall imaging productivity.
Solution Approach 2:
The system performs preliminary positioning calculations and predictions using the virtual model before the actual imaging process begins. By determining optimal positioning parameters in advance through virtual simulation, the system eliminates delays during the actual imaging procedure, thereby improving overall imaging efficiency and reducing total time loss.
Data Source
AI summary
The present disclosure is related to systems and methods for subject positioning. The method includes generating a reference subject model of a subject to be scanned by a medical device based on feature information of the subject and a scan protocol of the subject. The method includes generating a target subject model by performing one or more rendering operations on the reference subject model based on at least one rendering parameter associated with an image capturing device. The method includes generating a positioning result by integrating the target subject model with image data related to a scan scene of the subject captured by the image capturing device. The method includes positioning the subject based on the positioning result.


