Patent · US Active

Automated robust learning of geometries for MR-examinations

US8144955B2 · kind B2 · utility

1Cited by

2References

15Claims

0Family size

Assignee

KONINKLIJKE PHILIPS ELECTRONICS NV · NL

Inventors

Daniel Bystrov · Hamburg, DE
Thomas Netsch · Hamburg, DE
Stewart Young · Hamburg, DE

Key dates

Filing date	Feb 12, 2007
Grant date	Mar 27, 2012
Priority date	—
Expiry date	Mar 20, 2029

Classification

Technology area (CPC G)Physics
CPC primaryG01R33/5608
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

A function generator (MFG) formulates a query to a mapping database (DBM) based on a received planning geometry type (PGT) and receives corresponding function data (MFD) which is processed to create a function (MF). An evaluator (ELV) receives the function (MF) and an anatomical landmark set (LMS) and determines a computed planning geometry (CPG). A user interface (UI) displays a survey image (IMG), the landmark set (LMS), and the computer planning geometry (CPG) and allows the user to adjust the landmark set and/or the computer program geometry. A record generator (RG) creates a new record from the user adjusted landmarks (ULMS) and the user adjusted computer planning geometries (UPG) and loads the new records (NR) into the mapping database (DBM).

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.