Optical Identifier Camera for Standardized Medical Device Imaging
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Solution Overview
Problem
Existing medical imaging systems require manual adjustment by technicians, leading to inconsistent results, and the addition of computer-readable mediums like RFID chips to medical devices is costly for smaller devices.
Innovation Solution
An optical identifier system that uses an optical identifier camera to generate images of medical devices, parsing pixel values and marker edges to identify devices, adjusting imaging parameters based on device identity, and integrating machine learning for accurate recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment of imaging parameters by technicians is used, then flexibility in handling different devices is maintained, but consistency and reliability of imaging results deteriorate
Solution Approach 1:
The system automatically identifies the medical device using an optical identifier camera and autonomously retrieves and applies the corresponding imaging parameters without requiring technician intervention. The imaging system serves itself by linking device identification to parameter configuration, eliminating manual adjustment while ensuring consistent, reliable imaging results across different devices and technicians.
2Reliability
If computer readable mediums like RFID chips are added to medical devices, then standardized imaging parameters can be automatically retrieved, but manufacturing cost increases
Solution Approach 1:
The patent replaces electronic computer-readable mediums (RFID chips, magnetic stripes) with an optical identification system. Instead of using electromagnetic fields to store and retrieve device information, the system uses optical cameras to capture images of visual identifiers on the device or packaging, processes these images to extract identifying features, and retrieves the corresponding imaging parameters. This substitution eliminates the need for expensive electronic components while achieving the same goal of automated parameter standardization.
3Ease of manufacture
If optical identifier systems with image processing are used, then hardware costs are reduced, but processing time and computational complexity increase
Solution Approach 1:
The system performs preliminary actions by capturing the device identifier image before the imaging procedure begins. The image processing, including edge detection, feature extraction, and device identification, is completed in advance during the setup phase. This preliminary processing ensures that when the actual imaging procedure starts, the device identity is already known and the corresponding parameters are ready to be applied, minimizing any time loss.
Solution Approach 2:
The image processing algorithm focuses on detecting only the critical features needed for device identification, such as edges, shapes, and colors, rather than analyzing every pixel in detail. By performing partial processing on the most relevant image features, the system achieves accurate device identification without the computational overhead of complete image analysis, thus reducing processing time while maintaining accuracy.
Data Source
AI summary
A medical imaging system including an optical identifier camera for imaging a medical device, a medical device packaging, a patient, or a technician. The system further includes an imaging probe for imaging of a target location, and a console with optical identifier logic to extract identifier markers or characteristics from the image of the medical device, packaging, patient or technician. A parameter logic determines the medical imaging parameters based on the identifiers or characteristics, and a medical imaging logic captures medical images of the medical device. The system enables efficient and accurate imaging of medical devices on the specific patient, by a specific technician, enhancing diagnostic capabilities and treatment planning in medical parameters.