Efficient atlas-based analysis of the hippocampus

Abstract

Volumetric approaches for the analysis of hippocampal structures (HS) are required for the diagnosis of different diseases. In order to diagnose, evaluate and compare patient datasets, standardized and reproducible analysis supports physicians in clinical routine and research. In this paper, we present a practical application for volumetry in MR volume datasets. The approach combines the semiautomatic linear registration of an atlas based polygonal model with T1-weighted (based on inversion recovery protocol) and T2-weighted MR images and the automatic volumetric assessment of diseased structures. The approach was evaluated and compared with manually segmented MR datasets.