Invention Grant
- Patent Title: Method and apparatus for classifying magnetic resonance measurement data acquired from an examination object using a magnetic resonance fingerprinting method
-
Application No.: US15875086Application Date: 2018-01-19
-
Publication No.: US10664683B2Publication Date: 2020-05-26
- Inventor: Thorsten Feiweier , Stefan Huwer , Mathias Nittka
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Agency: Schiff Hardin LLP
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@788898e9
- Main IPC: G06K9/00
- IPC: G06K9/00 ; A61B5/055 ; G01R33/56 ; A61B5/00 ; G16H50/20 ; G01R33/48 ; G01R33/24 ; G01R33/50 ; G01R33/561

Abstract:
In a method and computer and magnetic resonance (MR) apparatus for classifying MR measurement data acquired from an object under examination by execution of an MR fingerprinting method, wherein the MR measurement data include multiple MR signal profiles acquired by the MR fingerprinting method. At least one texture parameter is derived from the MR measurement data. The MR measurement data are classified into at least one tissue class using the at least one texture parameter. The classified MR measurement data are provided as an output.
Public/Granted literature
Information query