Method and Magnetic Resonance System for Functional MR Imaging of a Predetermined Volume Section of a Brain of a Living Subject
Simple SummaryContent extracted from patent full text and abstract with AI.
This invention describes a method and a magnetic resonance (MR) system designed for functional imaging of a specific part of the brain in a living subject. The key innovation involves simultaneously acquiring MR and EEG data from the subject, and then automatically analyzing the MR data based on the EEG results, allowing for enhanced functional mapping of brain activity.
Use CasesContent extracted from patent full text and abstract with AI.
- Diagnosing neurological conditions such as epilepsy or brain tumors
- Mapping brain functions before neurosurgery
- Monitoring brain activity during cognitive or psychological studies
- Researching neural responses to various stimuli
- Assessing the effects of medications on brain function
BenefitsContent extracted from patent full text and abstract with AI.
- Enables synchronized collection of MR and EEG data for more comprehensive analysis
- Improves accuracy of functional brain imaging
- Facilitates automatic, real-time evaluation of brain activity
- Enhances understanding of the relationship between electrical and metabolic brain functions
- May lead to better diagnosis and treatment planning for neurological conditions
Technical Classifications (CPCs)
Main Classifications
Health, Food & Consumer Tech
Physics & Measurement
Sub Classifications
Measuring & Testing
Medical & Vet Science
CPC Codes
Inventors & Applicants
Applicants
Univ Friedrich Alexander Er
Siemens Ag
Patent Abstract
In a method and a magnetic resonance (MR) system for functional MR imaging of a predetermined volume segment of the brain of a living examination subject, MR data of the predetermined volume segment are acquired, EEG data of the examination subject are acquired with the acquisition of the EEG data taking place simultaneously with the acquisition of the MR data, and the MR data automatically evaluated dependent on the acquired EEG data.
Key Information
Publication No.
DE102012205629A1
Family ID
49209936
Publication Date
2013-10-10
Application No.
DE102012205629A
Application Date
2012-04-05
Priority Date
2012-04-05
Granted
No
Possible Cooperation
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