Bilgisayarlı tomografi görüntülerinden elde edilen cranium parametreleri ile geometrik morfometri kullanılarak cinsiyet tahmini

Year 2024, Volume: 49 Issue: 3, 769 - 778, 30.09.2024

Yusuf Seçgin , Zülal Öner , Serkan Öner , Şeyma Toy

https://doi.org/10.17826/cumj.1510503

Abstract

Amaç: Cranium iskeletinin cinsiyet farklılığı adli antropoloji ve adli tıp bilimlerinde büyük önem taşımaktadır. Bu çalışma bu hipotezden yola çıkılarak bilgisayarlı tomografiden (BT) elde edilen cranium görüntülerinin geometrik morfometri yöntemi kullanılarak işlenmesi ile cinsiyet tahmin oranı elde edilmiştir.
Gereç ve Yöntem: Çalışmamızda yaşları 25 ile 65 arasında değişen 200 bireye ait BT görüntüleri kullanıldı. Görüntüler kişisel iş istasyonu Horos Medical Image Viewer (Version 3.0, USA) programında açıldı ve 3D Curved Multiplanar Reconstruction (MPR) ile işlendi. İşlem sonucunda elde edilen görüntülerin nasion ve inion noktalarından geçen hat belirlenerek tüm görüntüler ortogonal düzleme getirildi. Daha sonra görüntüler üst üste bindirilerek %100 büyütme ile JPEG formatında kaydedildi. Kaydedilen JPEG görüntüler TPS formatına dönüştürülerek 21 adet homolog landmark yerleştirildi. Yer işaretlerinin koordinatlarına Genelleştirilmiş Procrustes Analizi (GPA) ve Temel Bileşen Analizi (PCA) uygulanmış ve görüntüler ağırlık merkezine toplanarak şekil varyasyonları ve boyutsallık düzeltilmiştir. Ardından, boyutsallığı düzeltilen koordinatlara Doğrusal Diskriminant Analizi (LDA) uygulanmıştır.
Bulgular: Çalışmada, ağırlık merkezine toplanan 21 homolog noktasının koordinatlarının %74,465'inin ilk üç PC ile açıklanabildiği bulunmuştur. Bu koordinatlara uygulanan LDA sonucunda %86,5'lik bir cinsiyet tahmin oranı elde edilmiştir. Ayrıca, GPA kareler toplamı ile tanjant kareler toplamı arasında küçük bir fark bulunmuştur (0,57).
Sonuç: Çalışmamız sonucunda BT'den elde edilen cranium’a ait görüntülerin geometrik morfometri analizi ile yüksek bir dimorfizm gösterdiği tespit edilmiştir.

Keywords

Cranium, bilgisayarlı tomografi, geometrik morfometri, cinsiyet tahmini

Gender prediction using geometric morphometry with parameters of the cranium obtained from computed tomography images

Abstract

Purpose: The gender difference of the cranium skeleton is of great importance in forensic anthropology and forensic medicine sciences. This study is based on this hypothesis and the gender prediction rate was obtained by processing cranium images obtained from computed tomography (CT) using geometric morphometry.
Materials and Methods: CT images of 200 individuals between the ages of 25 and 65 were used in our study. The images were opened at the personal workstation Horos Medical Image Viewer (Version 3.0, USA) program and processed with 3D Curved Multiplanar Reconstruction (MPR). The line passing through the nasion and inion points of the images obtained as a result of the process was determined, and all images were brought to the orthogonal plane. Later, the images were overlapped and saved in JPEG format with 100% magnification. JPEG images saved were converted into TPS format, and 21 homologous landmarks were placed. Generalized Procrustes Analysis (GPA) and Principal Component Analysis (PCA) were applied to the coordinates of landmarks, and shape variations and dimensionality were corrected by gathering the images to the center of gravity. Next, Linear Discriminant Analysis (LDA) was applied to the coordinates, the dimensionality of which was corrected.
Results: The study found that 74.465% of the coordinates of 21 homologous landmarks gathered to the center of gravity could be explained with the first three PCs. As a result of the LDA applied to these coordinates, a gender prediction rate of 86.5% was obtained. In addition, a slight difference was found between the GPA sum of squares and the tangent sum of squares (0.57).
Conclusion: The images of the cranium obtained from CT showed a high dimorphism by geometric morphometry analysis.

Keywords

Cranium, computed tomography, geometric morphometry, gender prediction

Ethical Statement

This study was conducted with the 727 numbered decision of İzmir Bakırçay University Non-Interventional Local Ethics Committee.

Thanks

I would like to thank all the authors who contributed.

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