3D Tumor Tissue Reconstruction for Infiltration Mapping
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Solution Overview
Problem
Existing three-dimensional tissue reconstruction methods fail to provide spatial information of tumor infiltration, limiting the formulation of individualized treatment plans for tumor patients.
Innovation Solution
A method for three-dimensional reconstruction of tumor-affected tissue that defines closed infiltration zones on slide images, performs reconstruction using these zones, and determines the three-dimensional occupancy of the tumor, distinguishing between infiltrated and non-infiltrated parts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing three-dimensional tissue reconstruction methods are used, then three-dimensional images of tumor-affected tissue can be obtained, but spatial information of tumor infiltration is not provided
Solution Approach 1:
The tumor mass is segmented into infiltrated and non-infiltrated portions by defining closed infiltration zones on each slide image. These zones are identified through pathological detection algorithms that distinguish tumor cells within the muscularis mucosa from those that have penetrated into deep tissue, creating separate three-dimensional representations of each portion.
Solution Approach 2:
The method transitions from two-dimensional slide image analysis to three-dimensional reconstruction by stacking and processing multiple slide images through the tissue depth. This dimensional transformation enables visualization of infiltration patterns in the depth dimension, providing spatial information about tumor penetration into deep tissue layers.
2Measurement precision
If pathological detection algorithms are used to determine tumor cell location, then tumor boundaries can be identified, but spatial information of tumor infiltration is not obtained
Solution Approach 1:
The method performs preliminary three-dimensional reconstruction and infiltration zone definition before treatment planning. By pre-processing the tissue samples to create three-dimensional models with identified infiltration zones, the system prepares individualized anatomical maps that guide subsequent treatment decisions, making the treatment planning process more efficient and personalized.
3Loss of information
If three-dimensional reconstruction is performed without infiltration zones, then overall tumor structure is visualized, but infiltrated and non-infiltrated portions cannot be distinguished
Solution Approach 1:
The reconstruction process applies different properties to different regions of the tumor by defining closed infiltration zones. Tumor portions within these zones are rendered with distinct visual characteristics (e.g., different colors or transparency levels) to indicate infiltration status, while non-infiltrated portions maintain their original appearance, enabling local differentiation within the overall three-dimensional structure.
Data Source
AI summary
A method for three-dimensional reconstruction of a tumor-affected tissue is provided. The method includes the steps of: acquiring a plurality of slide images, each of which corresponds to a pathology section of the tumor-affected tissue; defining, on each of the slide images, at least one closed infiltration zone, the closed infiltration zone enclosing at least a portion of deep tissue in the pathology section; performing three-dimensional reconstruction by using the slide images having closed infiltration zones defined therein, thereby obtaining an infiltration space of the tumor-affected tissue; and determining three-dimensional occupancy of a tumor in the tumor-affected tissue, and defining a part of the tumor within the infiltration space as infiltrated, and defining another part of the tumor outside the infiltration space as non-infiltrated. A system and a computer readable medium for performing the three-dimensional reconstruction method are also provided.