TELKOMNIKA Telecommunication, Computing, Electronics and Control
Coronal slice segmentation using a watershed method for early identification of people with Alzheimer's

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Coronal slice segmentation using a watershed method for early identification of people with Alzheimer's

Alzheimer
Clinical dementia rating
Hippocampus
Ventricle
Watershed segmentation

One physical sign of a person who has Alzheimer's is the diminution of the
area of the hippocampus and ventricles. A good quality magnetic resonance
imaging (MRI) will provide a high-quality image so that the doctor will
quickly analyze the abnormalities of the hippocampus and ventricle area.
However, for low-quality MRI, this is difficult to do. This condition will be a
significant problem for some regions in developing countries including
Indonesia, where many hospitals have only low-quality MRI, and many
hospitals do not have them at all. The primary purpose of this research is to
develop simple tools to analyze morphological characteristics in Alzheimer's
patients. In this paper, we focus only on coronal slice analysis. We will use
watershed method segmentation, because of this method able to segment the
boundaries automatically, so that parts of the hippocampus and ventricles can
be identified in an MRI image. Analysis of morphological characteristics is
also classified by age and gender. Then by referring to the value of the clinical
dementia rating (CDR), the process of identifying between images with
Alzheimer's disease (AD) and healthy models is done based on the
morphological analysis that has been done. The results show this method has
a better performance compared to the previously work.

Retno Supriyanti, Anugerah Kevin Marchel, Yogi Ramadhani, Haris Budi Widodo

http://journal.uad.ac.id/index.php/TELKOMNIKA

Sep 5, 2020

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