Image-Guided Procedure Analysis System for Clinician Skill Training
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Solution Overview
Problem
There is a challenge in effectively training non-traditional clinician users in image-guided interventional medical procedures, particularly in developing the necessary hand-eye coordination and skill level for procedures like needle insertion, which can lead to variations in competence and increased patient risk due to the lack of clear evaluation methods and the high cost of using point of care ultrasound apparatus for training.
Innovation Solution
A system and method that records and processes position data from image-guided interventional procedures to derive quantitative measures of procedure quality, allowing for real-time or post-procedure analysis, and includes a non-imaging training apparatus for replicating the feel of image-guided procedures without the need for an imaging system, using position detection systems and physical phantoms to assess and improve clinician skills.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If point of care ultrasound apparatus is used for training, then clinician skill development is improved, but training cost increases significantly
Solution Approach 1:
The patent creates a training system that replicates the essential functions of ultrasound-guided procedures using low-cost alternatives. A position detection system tracks an interventional instrument through a phantom, and a processor generates simulated ultrasound images showing the instrument position, thereby copying the core learning experience without requiring expensive ultrasound equipment.
Solution Approach 2:
The system uses inexpensive, disposable phantoms instead of expensive, durable ultrasound machines for training purposes. The phantom can be easily replaced or reset between training sessions, providing a cost-effective solution that maintains training effectiveness while significantly reducing equipment costs.
2Reliability
If quantitative measures of procedure quality are implemented, then performance monitoring reliability is improved, but system complexity increases
Solution Approach 1:
The system automatically processes position data and generates quantitative quality measures without requiring manual evaluation by trainers. The processor autonomously tracks instrument position, compares it against the imaging plane, and generates metrics such as number of times out of plane and distance travelled, eliminating the need for complex manual assessment protocols.
3Manufacturing precision
If position tracking is integrated with ultrasound imaging, then procedure guidance accuracy is improved, but device complexity increases
Solution Approach 1:
The system separates the position tracking function from the ultrasound imaging function. The position detection system independently tracks the interventional instrument, while the processor later correlates this data with the ultrasound image plane. This segmentation allows each subsystem to remain relatively simple while achieving accurate integrated performance through software coordination.
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
The system provides consistent and reliable quantitative measures of procedure quality, enabling meaningful performance monitoring and comparison, reducing patient risk by assessing skill levels and procedure effectiveness, and offering a cost-effective training solution for developing clinician skills.
Implementation Method 1
magnetic position detection of the interventional instrument
Implementation Method 2
ultrasound imaging (procedural ultrasound)
Data Source
AI summary
A system and method for quantitative validation of the quality of image-guided interventional procedures combine image data on the procedure with position tracking of the interventional instrument and calculate quantitative measures such as excursions of the interventional instrument from a desired position or track, procedure times and measurements of distances advanced and withdrawn. The quantitative metrics may be graphically displayed and stored. Metrics obtained for multiple users may be stored and statistically processed to derive measures of performance applicable to individuals or groups of clinicians.