Mikrodalga Dielektrik Spektroskopi ile Yumuşak Doku Ossifikasyon Tespiti

Yıl 2021, Cilt: 11 Sayı: 21, 7 - 15, 30.06.2021

Seda Keskin , Tuba Yilmaz , Tayfun Akgül

Öz

Mikrodalga frekanslarında sert ve yumuşak dokular arasındaki dielektrik özellik farkı, yumuşak doku kemikleşme anomalilerinin
teşhisi için kullanılanılabilme potansiyeline sahiptir. Biyolojik dokuların mikrodalga frekanslarda dielektrik özellikleri geleneksel
olarak açık uçlu koaksiyel prob tekniği ile ölçülür. Bununla birlikle, doku heterojenitesi, kullanıcı hataları, matematiksel yaklaşım ve
kalibrasyon bozulması nedeniyle kullanılan teknik yüksek hata oranlarına sahiptir. İyi ayrılmış bir veriye makine öğrenimi
algoritması uygulandığında verinin yüksek doğrulukta sınıflandırılabileceği bilinmektedir. Bu nedenle, tekniğe özgü
hatalardan en az etkilenebilecek bir sınıflandırma parametresinin seçilmesi, doku kategorizasyonunun doğruluğunu artırmak için
kritiktir. Emprik olarak, mikrodalga frekanslarındaki dielektrik özellikler güç yasasına uyar. Bu olguya göre daha önce
araştırılmamış bir parametre, dielektrik özelliklerden çıkarılabilecek güç parametresidir. Bu amaçla bu makale, yumuşak doku
ossifikasyon anomalilerini tespit etmek için dielektrik özellik eğim değerlerinin sınıflandırılmasına dayalı bir ön çalışma sunmaktadır. Bu yaklaşım muhtemelen yüksek maliyetli görüntüleme ve mutasyon tarama testlerine alternatif bir hızlı tanı yöntemi olarak kullanılabilir.

The dielectric property discrepancy between hard and soft tissues
at microwave frequencies can potentially be utilized for the diagnosis
of soft tissues ossification anomalies. Microwave dielectric properties
of biological tissues are traditionally measured with the open-ended
coaxial probe technique. However, the technıque suffers from high
error rates due to tissue heterogeneity, user errors, mathematical
approach and calibration degredation. It is known that a well
seperated data can be classified with high accuracy when a machine
learnin algorithm is applied. Therefore, choosing a classification
parameter that can be least affected by inherent errors is critical for
increasing the accuracy of tissue categorization. Emprically, dielectric
properties at microwave frequencies abides by the power law. Based
on this fact, one unexplored parameter is the power parameter which
can be derived from the dielectric properties. To this end, this work
presents a preliminary study based on classification of dielectric
property slope values to detect the soft tissue ossification anomalies.
This approach can possibly be used as an alternative rapid diagnostic
method to highcost imaging and mutation screening tests.

Anahtar Kelimeler

Mikrodalga dielektrik özellikler, Cole-Cole denklemi, Güç yasası, Mikrodalga teşhis, Microwave dielectric properties, Cole-Cole equation, Power law, Microwave diagnostics

Kaynakça

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