Bölütlenen beyin bölgelerinin tıbbi görüntü steganografi için değerlendirilmesi

Yıl 2021, , 2301 - 2314, 02.09.2021

Rukiye Karakış , Kali Gurkahraman , Burhanettin Çiğdem , Ibrahim Oztoprak A. Suat Topaktas

https://doi.org/10.17341/gazimmfd.753989

Öz

Tıbbi görüntü steganografisinde, görüntülere veri gizlemenin neden olduğu bozulmanın sonucunda bir hastalığın tanı ve tedavisi etkilenebilir. Bu sebeple, veri görüntülerde elle ya da eşikleme gibi temel tekniklerle belirlenen ilgi olmayan bölgelerde gizlenmektedir ve bu yöntemlerin hiçbiri tümör gibi dokuları bölütlemeyi içermemektedir. Bu çalışma, bir hastalığın tanı ve tedavisinde kullanılan verilerin, bölütleme tabanlı steganografi yöntemi ile görüntüleri bozmadan tek bir ortamda birleştirilerek gizlenmesini amaçlamaktadır. Ayrık dalgacık dönüşümü (ADD) ve k-ortalama kümeleme tabanlı bölütleme yöntemi ile epilepsi hastalarının Manyetik Rezonans (MR) görüntüleri, arka plan, gri madde, beyaz madde ve tümör olarak ayrıştırılmıştır. Gizli mesaj, hasta kişisel bilgilerini, doktor yorumunu, seçilen Elektroansefalogram (EEG) sinyalini ve EEG’ye ait sağlık raporunu içermektedir. Kaotik ve hash fonksiyonlarını kullanan DNA kodlama ile şifrelenen ve ardından sıkıştırılan yüksek kapasiteli mesaj, görüntülerin tümör olmayan piksellerinin en az anlamlı bitlerinde gizlenmiştir. Çalışmada, taşıyıcı ve stego görüntüler arasındaki farklılık, sinyalin gürültü tepe oranı, yapısal benzerlik ölçümü, evrensel kalite indeksi ve korelasyon katsayısı ile tespit edilmiştir. Bu değerler sırasıyla 64,0334 desibel (dB), 0,9979, 0,99701, 0,9993 olarak elde edilmiştir. Analiz sonuçları önerilen yöntemin hastaların yüksek kapasiteli verilerini tek bir dosyada birleştirdiğini ve tıbbi verilerin hem güvenliğini hem de kayıt alanını arttırdığını göstermiştir.

Anahtar Kelimeler

tıbbi görüntü steganografisi, ayrık dalgacık dönüşümü, k-ortalama kümeleme, tıbbi görüntü bölütleme

Destekleyen Kurum

Sivas Cumhuriyet Üniversitesi Bilimsel Araştırma Projeleri (CÜBAP)

Proje Numarası

TEKNO-017

Teşekkür

Bu çalışma, Sivas Cumhuriyet Üniversitesi Bilimsel Araştırma Projeleri (CÜBAP) tarafından TEKNO-017 proje numarası ile desteklenmiştir. Veri toplama sürecindeki yardımı için Nöroloji Bölümü’nde teknisyen olan Dilek Kaplan’a teşekkür ederiz.

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