Unified Mesh Visualization for Cardiac Radioablation Planning

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Solution Overview

Problem

Current cardiac radioablation treatment planning systems lack an efficient method for simultaneously displaying organ substructures and isodose volumes, which hinders accurate diagnosis and treatment planning.

Innovation Solution

A computer-implemented method and system that generate and display meshes of organ substructures and isodose volumes within the same scene, allowing for real-time collaboration and visualization among medical professionals.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If separate systems are used for viewing 3D anatomical images and for treatment planning, then each medical professional can work within their specialized system, but the systems cannot efficiently share and integrate data between different medical professionals

Engineering Contradiction:
Improvesystem integrationVSAvoidmultiple separate systems
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent combines the electrophysiologist's 3D anatomical imaging system with the radiation oncologist's treatment planning system into a single integrated system. This allows both medical professionals to access and contribute to the same unified workspace, enabling efficient data sharing and collaboration while reducing the complexity of managing multiple separate systems.

Inventive Principle:
Principle #5Merging (Combining)

2Measurement precision

If 2D planning CT slices are used for contouring target regions, then treatment planning can be performed, but it is difficult to accurately visualize and understand the 3D location, size, and shape of the target volume

Engineering Contradiction:
Improvetarget volume visualization accuracyVSAvoidcontouring process
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The patent overlays 3D surface renderings of the target volume onto the 2D planning CT slices. This dimensionality enhancement allows the radiation oncologist to accurately contour the target region on 2D slices while simultaneously visualizing its 3D location, size, and shape, thereby improving measurement precision without complicating the contouring operation.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Productivity

If manual methods are used to define target regions and plan treatment, then each medical professional can apply their specialized knowledge, but the process is time-consuming and inefficient

Engineering Contradiction:
Improvetreatment planning efficiencyVSAvoidcollaboration time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent introduces a unified digital workspace as an intermediary platform that connects the electrophysiologist and radiation oncologist. This workspace automatically integrates anatomical imaging data with treatment planning data, enabling both professionals to collaborate efficiently on the same case without manual data transfer or repeated consultations, thereby improving productivity and reducing time loss.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS12293820B2Methods and apparatus for determining radioablation treatment
Publication Date: 2025.05.06 VARIAN MEDICAL SYSTEMS INC
  • US12293820B2 patent drawing
  • US12293820B2 patent drawing
  • US12293820B2 patent drawing

AI summary

Systems and methods for cardiac radioablation treatment planning are disclosed. In some examples, a computing device receives an image volume and a dose matrix data. The computing device generates a first mesh of organ substructures for the organ based on substructure contours for the organ. Further, the computing device generates a second mesh of an isodose volume based on the dose matrix data. The computing device displays the first mesh of the organ substructures and the second mesh of the isodose volume within a same scene. In some examples, the computing device samples a plurality of dosage values, determines representative dosage values for each of a plurality of points along surfaces of a dose matrix, and generates an image for display based on the representative dosage values. In some examples, a segmentation model is generated for display based on the representative dosage values.