3D CT Angiography Bone Removal for Aneurysm Detection

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Solution Overview

Problem

Detecting small aneurysms in vasculature, especially in the brain, is challenging due to their minute size and similarity to bone structures in CT angiography exams, leading to inaccurate diagnoses and false information.

Innovation Solution

A method that removes bone structures from 3D CT angiography image data and extracts spherical shapes or features to identify abnormalities, using a computer-controlled medical imaging apparatus to generate images with extracted shapes displayed for enhanced detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If template based visualization methods are used to provide shape information, then complementary diagnostic information is provided, but the user is overwhelmed with fragmented or false clinical information

Engineering Contradiction:
Improvecomplementary shape informationVSAvoiduser efficiency
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The patent extracts and displays only the most clinically relevant shape features (such as spherical shapes indicating aneurysms) while filtering out redundant or misleading information. This selective extraction provides complementary diagnostic information without overwhelming the user with fragmented data.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

Instead of presenting all template-based shape information and expecting users to filter it, the system inverts the approach by pre-processing and presenting only the most significant shape abnormalities, thereby improving user efficiency while maintaining diagnostic completeness.

Inventive Principle:
Principle #13The other way round (Inversion)

2Measurement precision

If CTA exams are used to detect small aneurysms, then vascular imaging is obtained, but bone structures cause filtering artifacts that lead to incorrect diagnosis

Engineering Contradiction:
Improveaneurysm detection accuracyVSAvoidbone filtering artifacts
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent converts the harmful effect of bone structures causing filtering artifacts into a benefit by using shape-based analysis that specifically looks for spherical abnormalities. The bone artifacts, while present, do not mimic spherical shapes, allowing the system to distinguish true aneurysms from bone structures and improve detection accuracy.

Inventive Principle:
Principle #22Blessing in disguise (Convert harm into benefit)

3Quantity of substance

If typical CTA exams are used for imaging, then vascular structures are visualized, but small aneurysms are indistinguishable from vasculature and bones

Engineering Contradiction:
Improvevascular structure visibilityVSAvoidsmall aneurysm detection
Core Design Contradiction:
Quantity of substanceVSDifficulty of detecting and measuring

Solution Approach 1:

The patent applies local quality analysis by examining specific geometric properties (sphericity) at local regions within the vascular structures. This allows the system to maintain overall vascular visibility while specifically highlighting small aneurysms that possess distinct spherical characteristics, making them distinguishable from the surrounding vasculature and bone structures.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS8244015B2Methods and apparatus for detecting aneurysm in vasculatures
Publication Date: 2012.08.14 GE PRECISION HEALTHCARE LLC
  • US8244015B2 patent drawing
  • US8244015B2 patent drawing
  • US8244015B2 patent drawing

AI summary

Methods and apparatus for detecting aneurysm in vasculatures are provided. The method includes removing bone structures from three-dimensional (3D) computed tomography (CT) angiography image data and extracting spherical shapes from the bone removed 3D CT angiography image data. The method further includes displaying the extracted spherical shapes on an image of the 3D CT angiography image data.