Medical Image Overlay Rendering with Differentiable Alignment

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Solution Overview

Problem

Conventional methods for rendering medical images are limited by computational speed and memory, particularly for heterogeneous volume data, making them unsuitable for real-time photorealistic overlays of medical images.

Innovation Solution

A computer-implemented method using differentiable rendering (DR) with intermediate geometric representations to optimize rendering parameters for aligning and overlaying medical images with reference images, employing gradient descent and geometric proxies like meshes and isosurfaces to enhance photorealism and efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If physically-based Monte Carlo light transport is used to simulate complex light scattering and extinction for photorealistic rendering, then rendering quality and photorealism are improved, but computational time and complexity increase significantly

Engineering Contradiction:
Improverendering qualityVSAvoidcomputational time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent pre-computes and stores light transport properties (such as scattering coefficients, absorption coefficients, and phase functions) in lookup tables before the actual rendering process. During real-time rendering, these pre-computed values are retrieved and applied directly, avoiding the need to perform complex Monte Carlo simulations on-the-fly. This preliminary preparation step enables photorealistic rendering quality while maintaining real-time performance.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If conventional volume visualization methods with ray casting are used, then computational speed is improved, but photorealistic quality and complex light scattering simulation are lost

Engineering Contradiction:
Improvecomputational speedVSAvoidphotorealistic quality
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The patent segments the rendering process into two distinct parts: a pre-computation phase where complex light transport properties are calculated and stored, and a real-time rendering phase where these pre-computed properties are applied using efficient ray casting. This segmentation allows the system to achieve both photorealistic quality (through the detailed pre-computed light transport models) and computational speed (through efficient real-time ray casting with pre-prepared data).

Inventive Principle:
Principle #1Segmentation

3Measurement precision

If differentiable rendering is applied to heterogeneous volume data for optimizing rendering parameters, then alignment precision and photorealism are improved, but computational complexity and memory requirements increase

Engineering Contradiction:
Improvealignment precisionVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent performs differentiable rendering and optimization of rendering parameters (such as lighting, shading, and material properties) during a pre-processing stage before final rendering. By completing the computationally intensive differentiable optimization beforehand, the system achieves high alignment precision and photorealistic quality while keeping the real-time rendering system relatively simple and memory-efficient.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentEP4273811B1Technique for optimizing rendering parameters of overlays of medical images
Publication Date: 2026.03.04 SIEMENS HEALTHINEERS AG
  • EP4273811B1 patent drawingFigure 1~2
  • EP4273811B1 patent drawingFigure 3A~3D
  • EP4273811B1 patent drawingFigure 4A~4D

AI summary

In one aspect, the invention relates to a computer implemented method for rendering of an overlay of an aligned medical image (312-1; 312-2) obtained from a medical scanner with a reference image (302). The method comprises the steps of receiving a reference image (302) comprising a reference structure of a body; determining an intermediate representation (304) of the reference structure; receiving a medical image (312-1; 312-2) comprising structures corresponding to the reference structures and determining an intermediate representation (314-1; 314-2) of the structures comprised in the medical image (312-1; 312-2); receiving a rendering parameter for the medical image (312-1; 312-2); optimizing the rendering parameter by comparing the intermediate representations (314-1; 314-2; 304) of the medical image (312-1; 312-2) and of the reference image (302); aligning and overlaying the medical image (312-1; 312-2) with the reference image (302) based on the optimized rendering parameter; and rendering the aligned and overlayed image.