Authors : Retno Supriyanti, Ays Rahmadian Subhi, Yogi Ramadhani and Haris B. Widodo
Abstract: Alzheimer's diagnosed early can make the patient have more time to prepare and plan for the future. One more important thing is getting faster handling. The doctor will suspect a patient suffering from Alzheimer's disease if questions answered by the patient around the symptoms his or her family's health history and life style leads to a disease other than Alzheimer's. But actually the most accurate way of diagnosing Alzheimer's disease is through an autopsy that allows the examiner to see the patient's brain tissue. At this time to perform an autopsy does not have to do with the patient's head surgery. One device that can be used to explore the head tissue is MRI. This study will discuss the development of computer aided diagnosis tool in identifying the severity of Alzheimer's using ROC curve, especially, for coronal slice image from MRI. In this experiment, we used the hippocampal and ventricle size parameters as the determinant variable of Alzheimer's severity with reference to the value of Clinical Dementia Rating (CDR). Pre-processing to get the value of variable size by using active contour method. The results show the accuracy level of hippocampal object identification of 98.4 and 86.3% ventricular object.
Retno Supriyanti, Ays Rahmadian Subhi, Yogi Ramadhani and Haris B. Widodo, 2018. A Simple Tool for Identifying the Severity of Alzheimer's Based on Hippocampal and Ventricular Size Using a Roc Curve on a Coronal Slice Image. Asian Journal of Information Technology, 17: 321-327.