AUTOMATED ROBUST LEARNING OF GEOMETRIES FOR MR-EXAMINATIONS

摘要

The present invention relates to a geometry planning software product for magnetic resonance system, comprising a database manager arranged to process an anatomical landmark set and a planning geometry of a current geometry planning session by forming a combination of both, and to add said combination to a database. The invention enables the learning of relevance of different anatomical structures for a specific planning geometry from user input. It also enables fully automated outlier detection.