A NEW METHOD FOR DIAGNOSING EPILEPSY DISEASE FROM STRUCTURAL BRAIN MR IMAGES

Hilal Arslan; Orhan Bölükbaş; Harun Uğuz

doi:10.17780/ksujes.1782641

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YAPISAL BEYİN MR GÖRÜNTÜLERİNDEN EPİLEPSİ HASTALIĞININ TANISINA YÖNELİK YENİ BİR YÖNTEM

Öz

Epilepsi, doğru tanı için hassas klinik değerlendirme gerektiren kronik bir nörolojik bozukluktur. Manyetik rezonans görüntüleme (MRG), epilepsi ile ilişkili beyin yapısındaki değişiklikleri belirlemede önemli bir rol oynamaktadır. Bu çalışmada, yapısal beyin MRG verileri kullanılarak epilepsi tanısı için yeni bir yaklaşım sunulmaktadır. İlk olarak, 75 epilepsi hastası ve 121 sağlıklı kontrolden oluşan toplam 196 katılımcıyı içeren özgün bir veri seti oluşturulmuştur. Bu veri seti temel alınarak, beyin bölgelerindeki hacimsel farklılıklar analiz edilerek ayırt edici özellikler belirlenmiştir. Özellik setini iyileştirmek için Mann-Whitney U testi ve Kolmogorov-Smirnov Z testi gibi istatistiksel seçim yöntemleri uygulanmıştır. Bu süreç sonucunda, başlangıçtaki 50 özelliğin 37’si sınıflandırma için en anlamlı olanlar olarak seçilmiştir. Son aşamada, bu özellikler k-en yakın komşu, destek vektör makineleri, çok katmanlı algılayıcı ve rastgele orman gibi çeşitli makine öğrenmesi sınıflandırıcıları ile değerlendirilmiştir. Deneysel sonuçlar, destek vektör makinesinin en iyi performansı elde ettiğini göstermiştir; %95,45 kesinlik, %84 duyarlılık, %89,36 F1-skoru ve %92,34 doğruluk değerleri elde edilmiştir. Mevcut güncel yöntemlerle karşılaştırıldığında, önerilen yaklaşım son derece rekabetçi bir performans sergilemekte ve epilepsi tanısında etkili bir araç olma potansiyelini ortaya koymaktadır.

Anahtar Kelimeler

A NEW METHOD FOR DIAGNOSING EPILEPSY DISEASE FROM STRUCTURAL BRAIN MR IMAGES

Abstract

Epilepsy is a chronic neurological disorder that requires accurate clinical evaluation for diagnosis. Magnetic resonance imaging (MRI) plays an essential role in identifying structural brain changes associated with epilepsy. In this study, we introduce a new approach for diagnosing epilepsy using structural brain MRI data. First, we constructed a novel dataset that includes 196 participants, comprising 75 patients with epilepsy and 121 healthy controls. Based on this dataset, we developed a method to identify discriminative features by analyzing volumetric variations across brain regions. To refine the feature set, statistical selection methods were applied, specifically the Mann-Whitney U test and the Kolmogorov-Smirnov Z test. Through this process, 37 of the original 50 features were retained as the most relevant for classification. In the final stage, we evaluated these features using several machine learning classifiers, including k-nearest neighbors, support vector machines, multilayer perceptron, and random forest. The experimental results showed that the support vector machine achieved the best performance, with a precision of 95.45%, a recall of 84%, an F1-score of 89.36%, and an accuracy of 92.34%. Compared with existing state-of-the-art methods, the proposed approach demonstrates highly competitive performance, highlighting its potential as an effective diagnostic tool for epilepsy detection.

Keywords

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Takviyeli Öğrenme

Bölüm

Araştırma Makalesi

Yazarlar

Hilal Arslan ^*
0000-0002-6449-6952
Türkiye

Orhan Bölükbaş
0000-0003-2642-3397
Türkiye

Harun Uğuz
0000-0003-4617-202X
Türkiye

Yayımlanma Tarihi

3 Aralık 2025

Gönderilme Tarihi

12 Eylül 2025

Kabul Tarihi

21 Ekim 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 28 Sayı: 4

DOI

https://doi.org/10.17780/ksujes.1782641

IZ

https://izlik.org/JA52TW83HG

Kaynak Göster

RIS / Bibtex

APA

Arslan, H., Bölükbaş, O., & Uğuz, H. (2025). A NEW METHOD FOR DIAGNOSING EPILEPSY DISEASE FROM STRUCTURAL BRAIN MR IMAGES. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 28(4), 2124-2138. https://doi.org/10.17780/ksujes.1782641