Abstract
Atrophy of the human brain is observed as the progress of dementia such as the Alzheimer disease (AD) and the frontotemporal dementia (FTD). According to the patient's symptoms, the atrophy occurs at the different rate on each gyrus. Therefore, estimating the atrophy for each gyrus helps us for distinguishing diagnosis. For the purpose, identification of gyri on the cerebral surface is required. In this paper, we propose a fully automated method for identifying the gyri in three-dimensional (3-D) human brain magnetic resonance (MR) images. To clarify the effectiveness of the proposed method, it was applied to identify the superior frontal gyrus, middle frontal gyrus, precentral gyrus and central gyrus on synthetic data and eight subjects (four normal subjects and four AD patients). Experimental results showed that the proposed method correctly segmented the appropriate gyri.
