Multi-Modal Camera Collision Prediction for Medical Imaging
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Solution Overview
Problem
Current methods for predicting collisions between examination subjects and imaging apparatuses in medical settings are inaccurate due to interference from accessories and 'noise' on the scanning table, which complicates the prediction of potential collisions.
Innovation Solution
A method utilizing a multi-modal camera system that acquires both depth and thermal images of the examination subject, allowing for the segmentation of the subject's contour from the thermal image and the generation of a 3D contour for accurate collision prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional single-modal imaging is used to detect examination subjects, then the system complexity is low, but the measurement precision of collision prediction is insufficient due to interference from accessories and noise
Solution Approach 1:
The patent divides the imaging task into two separate modalities: depth camera for spatial structure and thermal camera for temperature-based subject identification. This segmentation allows each camera to specialize in one aspect, improving overall measurement precision while managing system complexity through functional division
Solution Approach 2:
The patent extracts the thermal image data to specifically identify the examination subject and exclude accessories and noise. By taking out the thermal modality separately from depth imaging, the system can focus on subject-only analysis for collision prediction, improving accuracy without requiring the depth camera to handle the complex task of subject identification
2Measurement precision
If thermal image segmentation is used to extract subject contour, then the measurement precision of subject boundary detection is improved, but the processing time increases
Solution Approach 1:
The patent performs preliminary action by using the thermal image to first identify and segment the subject contour before proceeding to depth-based collision analysis. This preliminary subject isolation simplifies subsequent processing steps and enables more efficient collision prediction by focusing only on relevant subject geometry
Solution Approach 2:
The patent transitions from 2D thermal image segmentation to 3D depth-based collision prediction. By using the segmented subject contour as a basis and then applying depth information, the system efficiently predicts collision in three-dimensional space without requiring full 3D reconstruction of the entire scene
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively excludes interference factors, providing a high-accuracy prediction of collisions between the examination subject and the imaging apparatus, thus ensuring safe and efficient scanning.
Implementation Method 1
acquiring an image package of the examination subject via a multi-modal camera system, where the image package including a depth image and a thermal image of the examination subject
Implementation Method 2
acquiring an image package of the examination subject via a multi-modal camera system, where the image package including a depth image and a thermal image of the examination subject
Data Source
AI summary
The present invention relates to a method for predicting a collision between an examination subject and an imaging apparatus, and an imaging apparatus. The prediction method may include: acquiring an image package of the examination subject via a multi-modal camera system, the image package including a depth image and a thermal image of the examination subject, and the multi-modal camera system including a depth camera module and a thermal camera module; acquiring a 2D contour of the examination subject based on segmentation processing performed on the thermal image; generating a 3D contour of the examination subject based on the 2D contour of the examination subject and the depth image of the examination subject; and estimating, based on the 3D contour of the examination subject, whether the examination subject will collide, on a movement path thereof, with an imaging apparatus scanning the examination subject. The imaging apparatus provided in the present invention can achieve the same prediction effect.