Intraoperative Tissue Volume Calculation via 3D Mesh Reconstruction
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Solution Overview
Problem
Current surgical practices lack accurate intraoperative volume measurements of resected tissue, which is critical for clinical decision-making, especially in procedures like tumor resection, due to disruptions caused by traditional volume measurement methods.
Innovation Solution
A method and system that generates a 3D model of resected tissue using stitched 2D/2.5D intraoperative images from laparoscopic or endoscopic streams, allowing for real-time volume calculation by segmenting the tissue surface, creating a 3D point cloud, and converting it into a mesh representation for volume estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional volume measurement methods are used, then measurement accuracy is improved, but surgical workflow is disrupted
Solution Approach 1:
The patent replaces traditional mechanical/disruptive volume measurement methods with a computational imaging system that uses 2D/2.5D intraoperative images to reconstruct 3D models and calculate tissue volume algorithmically, eliminating the need for physical measurement tools that disrupt surgery
Solution Approach 2:
The system creates a digital 3D copy of the resected tissue from 2D intraoperative images, allowing volume measurement to be performed on the digital replica rather than requiring direct physical measurement of the actual tissue, thus maintaining workflow continuity
2Loss of information
If intraoperative volume measurements are performed, then clinical decision-making is improved, but measurement time increases
Solution Approach 1:
The system performs volume calculations using images already captured during the surgical procedure for other purposes, so the volumetric analysis is conducted on pre-acquired data rather than requiring additional dedicated measurement time
Solution Approach 2:
Computational algorithms automatically calculate volume from 2D images, replacing time-consuming manual measurement techniques and enabling rapid volumetric assessment that does not delay the surgical procedure
3Productivity
If 3D modeling from 2D images is implemented, then workflow disruption is reduced, but measurement precision may be compromised
Solution Approach 1:
The system transforms 2D intraoperative images into 3D volumetric representations through computational reconstruction, enabling accurate volume measurement while maintaining workflow continuity by using existing 2D imaging infrastructure
Solution Approach 2:
The patent introduces a computational processing system as an intermediary that bridges 2D images and 3D volume measurement, using algorithms to reconstruct and calculate volumetric data from planar images without requiring direct 3D scanning or measurement devices
Data Source
AI summary
A method and system for calculating a volume of resected tissue from a stream of intraoperative images is disclosed. A stream of 2D/2.5D intraoperative images of resected tissue of a patient is received. The 2D/2.5D intraoperative images in the stream are acquired at different angles with respect to the resected tissue. A resected tissue surface is segmented in each of the 2D/2.5D intraoperative images. The segmented resected tissue surfaces are stitched to generate a 3D point cloud representation of the resected tissue surface. A 3D mesh representation of the resected tissue surface is generated from the 3D point cloud representation of the resected tissue surface. The volume of the resected tissue is calculated from the 3D mesh representation of the resected tissue surface.