Method and System for Analyzing a Plurality of Interconnected Blood Vessels

Publication: EP3975115A1
Published: 2022-03-30
Family Size: 4
Granted: Yes (1/4)

Simple SummaryContent extracted from patent full text and abstract with AI.

This invention provides a computer-implemented method and system for analyzing interconnected blood vessels using medical imaging data. It involves automatically segmenting blood vessels, labeling them anatomically, detecting vessel occlusions, and generating a graphical vessel tree model from medical scans such as CT angiography. The solution utilizes registration with tissue and vessel atlases, path-finding algorithms based on anatomical models, and intelligent visualization to facilitate diagnosis and intervention planning, especially in cerebrovascular applications like stroke assessment.

Use CasesContent extracted from patent full text and abstract with AI.

  • Automated stroke diagnosis and assessment using CT angiography scans
  • Pre-surgical planning for neurosurgery or interventional radiology by providing clear vessel maps
  • Detection and localization of vessel occlusions (blockages) in cerebral or other vascular networks
  • Automated labeling and segmentation for research or creation of vascular atlases
  • Guiding catheter placements by identifying optimal vessel paths based on diameter or curvature
  • Educational visualization tools for anatomy and pathology of blood vessels
  • Post-operative monitoring of vascular repairs or interventions by comparison with vessel models

BenefitsContent extracted from patent full text and abstract with AI.

  • Reduces time and manual effort for vessel segmentation and labeling, enabling faster clinical workflows
  • Improves accuracy and reproducibility in detecting vessel occlusions (blockages) and abnormal anatomy
  • Minimizes patient exposure to additional imaging by operating directly on standard CTA (does not require multiple datasets)
  • Supports customizable visualization, allowing clinicians to focus on relevant vessels or areas of interest
  • Automates complex image analysis tasks, decreasing reliance on expert manual annotation and enabling scalability
  • Provides interactive, real-time analysis by optimizing algorithms for speed and efficiency (e.g. operating on vessel bifurcations, not pixels)
  • Supports both clinical and research applications by offering a flexible analytical platform for vascular networks

Technical Classifications (CPCs)

Main Classifications

Physics & Measurement

Sub Classifications

Computing & Calculating

Information and Communication Technology for Specific Applications

CPC Codes

G06T7/0012G06T7/10G06T7/11G06T7/162G06T7/174G06T7/30G06T7/337G06T7/37G06T7/60G16H30/00

Inventors & Applicants

Applicants

Siemens Healthcare Gmbh

Univ Friedrich Alexander Er

Patent Abstract

The present invention relates to a method and system for analyzing a plurality of interconnected blood vessels.The invention relates to a method, preferably a computer implemented method, and system for providing output data for the analysis of a plurality of interconnected blood vessels, e.g. for vessel segmentation, vessel labeling, and vessel occlusion detection. The output data comprises a graphical representation of a vessel tree model of a patient. The method of the invention, in the most general terms comprises the steps of receiving input data, e.g. via a first interface, generating output data by applying algorithmic operations to the input data, providing the output data, e.g. via a second interface.

Key Information

Publication No.

EP3975115A1

Family ID

72659693

Publication Date

2022-03-30

Application No.

EP21195063A

Application Date

2021-09-06

Priority Date

2020-09-25

Granted

Yes (1/4)

Possible Cooperation

For further information please contact the transfer office.