CT Ablation Antenna Segmentation Using Trajectory and Markers
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Solution Overview
Problem
Existing CT imaging technologies struggle to accurately identify and segment medical instruments like ablation antennas due to limited resolution and clarity, leading to misidentification of structures and interference, especially during percutaneous procedures where visual inspection is not possible.
Innovation Solution
A system and method for automated identification and segmentation of ablation antennas in CT images by determining a trajectory and characteristic data of the instrument, using electromagnetic tracking and radiographic imaging techniques to distinguish between high intensity areas within and outside a predetermined radius, providing guidance for navigation and displaying projected ablation zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated identification and segmentation methods are used to improve the accuracy of identifying ablation antennas in CT images, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the ablation antenna into multiple distinct components (radiopaque markers, shaft, tip) and processes each segment separately through automated image analysis algorithms. This segmentation approach enables precise identification of each component while managing system complexity through modular processing steps.
Solution Approach 2:
The patent introduces radiopaque markers as intermediary elements that are easily detectable in CT images. These markers serve as reference points that facilitate the automated identification and segmentation of the ablation antenna, improving measurement precision without requiring direct detection of the entire complex instrument.
2Measurement precision
If CT scan resolution is increased to improve visibility of medical instruments, then measurement precision is improved, but loss of energy increases
Solution Approach 1:
The patent applies local quality enhancement by focusing high-resolution imaging and automated analysis specifically on regions containing the ablation antenna and radiopaque markers, rather than uniformly increasing resolution across the entire image. This localized approach improves measurement precision while minimizing additional radiation exposure.
Solution Approach 2:
The patent creates enhanced digital copies and segmented representations of the ablation antenna from the original CT images through automated processing. These processed copies provide improved visibility and measurement precision without requiring additional high-resolution scans, thereby avoiding increased energy loss.
3Measurement precision
If automated segmentation algorithms are implemented to distinguish instrument components from background noise, then measurement precision is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The patent performs preliminary actions by first detecting radiopaque markers and establishing reference coordinates before proceeding to segment the ablation antenna components. This preliminary detection simplifies subsequent segmentation by providing fixed reference points, improving measurement precision while managing algorithmic complexity through staged processing.
Solution Approach 2:
The patent replaces manual detection and measurement methods with automated image processing algorithms that use radiopaque markers as references. This substitution improves measurement precision by eliminating human error while the structured algorithmic approach based on marker references keeps the detection and measurement process manageable.
Data Source
AI summary
Provided in accordance with the present disclosure are systems and methods for identifying a percutaneous tool in image data. An exemplary method includes receiving image data of at least a portion of a patient's body, identifying an entry point of a percutaneous tool through the patient's skin in the image data, analyzing a portion of the image data including the entry point of the percutaneous tool through that patient's skin to identify a portion of the percutaneous tool inserted through the patient's skin, determining a trajectory of the percutaneous tool based on the identified portion of the percutaneous tool inserted through the patient's skin, identifying a remaining portion of the percutaneous tool in the image data based on the identified entry point and the determined trajectory of the percutaneous tool, and displaying the identified portions of the percutaneous tool on the image data.