3D Lung Model for Pleural Invasion Detection
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Solution Overview
Problem
Current methods for visualizing lung fissures and vascular anatomy during surgical procedures are inadequate, leading to increased complexity and length of surgeries due to incomplete visualization of fissures and vascular structures, especially in cases of lung diseases like emphysema.
Innovation Solution
A system and method for generating a three-dimensional (3D) model of the lungs from CT image data, which includes pleural surfaces, lumens, and treatment targets, allowing clinicians to plan and adjust surgical procedures based on the completeness of fissures and vascular anatomy, and account for potential invasions of aberrant structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If surgeons perform resection procedures without prior visualization of lung fissures and vascular anatomy, then surgical complexity increases and operative time lengthens, but using traditional CT image viewing methods fails to provide accurate three-dimensional anatomical understanding
Solution Approach 1:
The patent transforms two-dimensional CT image data into a three-dimensional visual model of lung anatomy, including fissures and vascular structures. This dimensional transformation allows surgeons to perceive spatial relationships and anatomical completeness in three dimensions, enabling better preoperative planning and reducing intraoperative surprises that prolong surgery time.
Solution Approach 2:
The system performs preliminary visualization and assessment of lung fissure completeness and vascular anatomy before surgery. By generating 3D models and providing preoperative reports on anatomical variations and fissure completeness, the system enables surgeons to plan procedures in advance, identify potential challenges, and prepare appropriate surgical approaches, thereby reducing operative time and complexity.
2Measurement precision
If traditional CT image viewing methods are used to assess lung fissures, then visualization accuracy is insufficient, but generating detailed 3D models requires complex image processing
Solution Approach 1:
The patent creates a digital copy or replica of the patient's lung anatomy by processing CT image data into a 3D visual model. This digital copy accurately represents fissures, vascular structures, and spatial relationships without requiring physical dissection or complex invasive measurement techniques, achieving high visualization accuracy through computational modeling.
Solution Approach 2:
The system introduces an intermediary computational processing layer that transforms raw CT image data into meaningful 3D visualizations. This intermediary process includes image segmentation, surface reconstruction, and rendering algorithms that bridge the gap between raw imaging data and clinically useful anatomical models, managing complexity through structured processing pipelines.
Data Source
AI summary
Provided are systems, devices, and methods for planning a medical procedure. An exemplary method includes receiving image data of a patient's chest, identifying the patient's lungs in the image data, determining locations of pleural surfaces of the patient's lungs in the image data, identifying a treatment target in the patient's lungs, generating a three-dimensional (3D) model of the patient's lungs based on the image data, the 3D model showing the pleural surfaces of the patient's lungs and the treatment target, determining whether the treatment target invades the pleural surfaces, displaying a view of the 3D model for viewing by a clinician, receiving input from the clinician regarding a plan for the medical procedure, and displaying the plan for the medical procedure.