Anisotropic Fiber Phantom for DTI Calibration

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Solution Overview

Problem

Current medical imaging technologies lack a suitable phantom for simulating anisotropic diffusion in diffusion tensor imaging (DTI) systems, which is essential for calibrating and verifying the accuracy of DTI systems.

Innovation Solution

A phantom comprising anisotropic fiberous structures that allow fluid to diffuse anisotropically, mimicking the diffusion patterns in biological tissues, is designed to provide data correlated with the tissue under investigation, using materials like silk, glass fibers, wood, and synthetic cord, and is mounted on a support within a container to enhance DTI characteristics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a phantom is used to simulate anisotropic diffusion in DTI systems, then calibration accuracy and verification of DTI systems is improved, but no suitable phantom structure existed in prior art that could effectively simulate diffusion patterns in biological tissues

Engineering Contradiction:
Improvecalibration accuracyVSAvoidphantom structure complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The phantom utilizes porous fiberous structures that allow fluid to diffuse through them in an anisotropic manner. The porous nature of the fibers creates pathways that mimic the diffusion characteristics of biological tissues, enabling accurate simulation of DTI patterns without requiring complex internal structures.

Inventive Principle:
Principle #31Porous materials

Solution Approach 2:

The invention employs composite materials consisting of fiberous structures combined with fluid-filled spaces. This composite structure creates the necessary anisotropic diffusion properties by combining the directional guidance of fibers with the fluid medium that carries diffusing molecules, achieving realistic diffusion patterns.

Inventive Principle:
Principle #40Composite materials

2Reliability

If fiberous structures are used to simulate tissue diffusion, then diffusion pattern simulation is improved, but the phantom must be designed with specific elongated structures that may increase manufacturing complexity

Engineering Contradiction:
Improvediffusion pattern simulationVSAvoidphantom manufacturing
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The phantom is divided into multiple discrete fiberous structures or bundles rather than requiring a single complex continuous structure. This segmentation allows each fiber or bundle to be independently formed and assembled, simplifying the manufacturing process while maintaining the overall anisotropic diffusion characteristics.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The invention allows for variation in fiber length, diameter, density, and orientation parameters to optimize both the diffusion simulation performance and manufacturability. By adjusting these parameters, the phantom can be tailored to match specific tissue characteristics while using standard manufacturing techniques.

Inventive Principle:
Principle #35Parameter changes

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

The phantom effectively simulates diffusion patterns in tissues, providing accurate data for calibrating DTI systems, optimizing scan settings, and reducing artifacts, while allowing for the comparison of different scanners and scan protocols.

Implementation Method 1

one or more fiberous structures through which a fluid can diffuse anisotropically for simulation of diffusion in a body of tissue of an animal

Methodology Applied
Scientific EffectAnisotropic diffusion: Diffusion

Data Source

PatentUS7521931B2Fiber tracking phantom
Publication Date: 2009.04.21 BRAINLAB AG
  • US7521931B2 patent drawing
  • US7521931B2 patent drawing
  • US7521931B2 patent drawing

AI summary

A phantom for use with diffusion tensor imaging includes a container and a plurality of structures within the container. The structures have anisotropic properties, wherein when the phantom is subjected to diffusion tensor imaging, the structures provide data that is recognized as fiber bundles. The structures can be formed, for example, from cloth tape, silk, wood, glass fibers cord (synthetic and viscose) and/or microfibers.