Hippocampal volume loss is an important biomarker in distinguishing subjects with Alzheimer’s disease(AD)and its measurement in magnetic resonance images(MRI)is influenced by partial volume effects(PVE).This paper describes a post-processing approach to quantify PVE for correction of the hippocampal volume by using a spatial fuzzy C-means(SFCM)method.The algorithm is evaluated on a dataset of 20 T1-weighted MRI scans sampled at two different resolutions.The corrected volumes for left and right hippocampus(HC)which are 23%and 18%for the low resolution and 6%and 5%for the high resolution datasets,respectively are lower than hippocampal volume results from manual segmentation.Results show the importance of applying this technique in AD detection with low resolution datasets.
展开▼