摘要：Epilepsy is a serious disorder in the brain. One of the most frequently found is temporal lobe epilepsy. This type of epilepsy is mainly caused by hippocampal sclerosis and treatment is often refractory so it needs surgery, this epilepsy is called mesial temporal lobe epilepsy (MTLE). MRI features for hippocampal sclerosis seen visually are a decrease in T1-weighted intensity and an increase in T2-weighted intensity. T2WI and T2 FLAIR are the sequences most often assessed for the diagnosis of hippocampal sclerosis. The assessment carried out by the practitioner to see the increase in intensity of the sequence is done visually. Visual assessment has flaws because of the limited vision and subjectivity of the practitioner, thereby producing several opinions to determine the level of intensity of the sequence. In this study a Computer Aided Diagnosis (CAD) method is proposed to assess quantitatively by assessing the intensity that exists in the FLAIR T2 sequence. This research uses Computer Aided Diagnosis (CAD) with computer programming, Image processing as a tool to find the intensity value and get a cut-off point value > 825, from this result then conduct a test by measuring the sensitivity value (90%), specificity (69%), positive predictive value (80%), negative predictive value (83%) and accuracy (81%). The of area under the curve is 0.8119, with the average ability to determine the pain is not sick is 0.71 -0.91. The results of this study indicate that Computer Aided Diagnosis (CAD) is able to detect hippocampal sclerosis in ELTM well.
