Mapping Image Display Control for Lung Resection Planning
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Solution Overview
Problem
Current methods for VAL-MAP (Virtual Assisted Lung Mapping) require significant time to determine the appropriate bronchus for dye spraying during tumor resection procedures, as they involve manual selection and rotation of three-dimensional mapping images to identify suitable staining positions on the lung surface.
Innovation Solution
A mapping image display control device and method that automatically determines to-be-stained positions on the lung surface by extracting organ and tubular structures, estimating reaching positions, and generating a mapping image to identify boundary-identifying reaching positions, thereby reducing the time required for selecting bronchi for dye spraying.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection and rotation of three-dimensional mapping images is performed to determine suitable staining positions, then the accuracy of bronchus selection can be confirmed, but the time required for the procedure increases significantly
Solution Approach 1:
The system performs preliminary simulation of dye diffusion paths and staining positions on the lung surface before the actual surgical procedure. By pre-calculating and displaying the mapping image showing where dye will reach on the lung surface from each bronchus, the system eliminates the need for time-consuming manual rotation and examination of 3D images during surgery, while maintaining accurate bronchus selection
Solution Approach 2:
The system creates a virtual copy or simulation model of the patient's lung and bronchial tree based on medical imaging data. This virtual model allows doctors to visualize dye diffusion paths and staining positions without manipulating the actual 3D images repeatedly, providing accurate bronchus selection information in advance
2Adaptability or versatility
If three-dimensional mapping images are rotated and displayed in different states to determine appropriate bronchi, then comprehensive evaluation of staining positions is achieved, but the operational complexity and time consumption increase
Solution Approach 1:
The system extracts and displays only the critical information needed for bronchus selection - specifically the mapping image showing staining positions on the lung surface and their correspondence to bronchi. By extracting this essential information from the complex 3D images and presenting it in a simplified 2D mapping format, the system maintains comprehensive evaluation capability while greatly improving ease of operation
Data Source
AI summary
A mapping image display control device includes an organ region extraction unit that extracts an organ region from a three-dimensional-image, a tubular-structure-extraction unit that extracts a tubular structure in the organ region, a reaching-position-information-estimation unit that estimates pieces of reaching position information each of a position at which an extended line of a branch in the tubular structure reaches a surface of the organ region, a resection-region-information-acquisition unit that acquires information of a resection region in the organ region, a boundary-identifying-reaching-position-information-determination unit that determines pieces of boundary-identifying reaching position information used to identify a boundary of the resection region from among the pieces of reaching position information based on the information of the resection region, and a display-control unit that causes a mapping image in which the pieces of boundary-identifying reaching position information are mapped to the surface of the organ region to be displayed.