Robotic X-Ray Imaging Scatter Correction for Clearer 3D Reconstruction

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Solution Overview

Problem

Imaging devices suffer from scatter effects that reduce image contrast and increase blurriness due to scattered photons, with conventional methods relying on predefined models that may not accurately account for the actual target object, and increasing patient radiation exposure.

Innovation Solution

A system using multiple robotic arms to capture image datasets at various source detector distances, angles, and orientations, employing image processing and Monte-Carlo simulations to estimate and apply scatter corrections tailored to the actual scanned object, reducing reliance on predefined models.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If conventional predefined models are used for scatter correction, then the correction process is simplified, but the accuracy of scatter correction deteriorates because the models may not accurately account for the actual target object

Engineering Contradiction:
Improvecorrection process complexityVSAvoidscatter correction accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The system creates a digital copy (virtual model) of the actual target object based on imaging data, which is then used for scatter correction calculations. This virtual copy accurately represents the physical object's properties without requiring complex physical measurements, thus maintaining accuracy while simplifying the correction process.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces traditional mechanical measurement systems with computational modeling. Instead of using complex physical devices to measure and model scatter, the system uses computer-based simulations and algorithms to calculate scatter correction, reducing physical complexity while maintaining or improving accuracy.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If multiple image datasets are captured at various distances and angles to improve scatter correction accuracy, then the correction precision improves, but the time required for image acquisition and processing increases

Engineering Contradiction:
Improvescatter correction accuracyVSAvoidimage acquisition and processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by capturing essential imaging data at optimized positions and angles before the actual scatter correction is needed. This preliminary data collection establishes a virtual model that can be reused for correction calculations, reducing the need for repeated measurements and minimizing processing time while maintaining accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent applies partial action by selecting only the most critical viewing angles and distances for data acquisition, rather than capturing complete datasets from all possible positions. This selective approach captures sufficient information for accurate scatter correction while significantly reducing acquisition and processing time.

Inventive Principle:
Principle #16Partial or excessive action

3Manufacturing precision

If scatter correction is applied to improve image quality, then image contrast and sharpness improve, but the computational complexity and processing requirements increase

Engineering Contradiction:
Improveimage qualityVSAvoidcomputational processing complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system uses a virtual copy of the target object to perform scatter correction calculations instead of directly processing complex raw imaging data. This virtual model simplifies the computational task by providing a known reference structure, reducing processing complexity while maintaining the ability to generate high-quality corrected images.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent introduces an intermediary computational step where a virtual model of the target object is created and used as a mediator between raw imaging data and final scatter-corrected images. This intermediary representation simplifies the mathematical calculations required for correction, reducing overall computational complexity while preserving image quality.

Inventive Principle:
Principle #24Intermediary (Mediator)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Improves image quality by correcting scatter effects, resulting in more accurate volume reconstruction and reduced radiation exposure.

Implementation Method 1

a source configured to emit a wave

Methodology Applied
Scientific EffectX-ray emission: X-Ray

Implementation Method 2

scatter effects that reduce image contrast and increase blurriness due to scattered photons

Methodology Applied
Scientific EffectScattering: Scattering

Implementation Method 3

a detector configured to receive a signal indicative of the emitted wave

Methodology Applied
Scientific EffectElectromagnetic radiation detection: Electromagnetic Induction

Data Source

PatentUS12573115B2Systems, methods, and devices for generating a corrected image
Publication Date: 2026.03.10 MAZOR ROBOTICS
  • US12573115B2 patent drawing
  • US12573115B2 patent drawing
  • US12573115B2 patent drawing

AI summary

Systems, methods, and devices for generating a corrected image are provided. A first robotic arm may be configured to orient a source at a first pose and a second robotic arm may be configured to orient a detector at a plurality of second poses. An image dataset may be received from the detector at each of the plurality of second poses to yield a plurality of image datasets. The plurality of datasets may comprise an initial image having a scatter effect. The plurality of image datasets may be saved. A scatter correction may be determined and configured to correct the scatter effect. The correction may be applied to the initial image to correct the scatter effect.