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

Yusuf Seçgin; Zülal Öner; Serkan Öner; Şeyma Toy

Makale detayları

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

Yazarlar:

Yusuf Seçgin | Zülal Öner | Serkan Öner | Şeyma Toy

Yayıncı:

Cukurova University

Ana Başlıklar:

Radyoloji ve Organ Görüntüleme | Adli Tıp | Klinik Tıp Bilimleri (Diğer)

Dergi:

Cukurova Medical Journal Vol.49 Issue 3, pp.769-778

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001327870

pISSN:

2602-3032

Anahtar kelimeler:

Özet:

 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.

 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.

 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.

 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 74,465inin ilk üç PC ile açıklanabildiği bulunmuştur. Bu koordinatlara uygulanan LDA sonucunda 86,5lik bir cinsiyet tahmin oranı elde edilmiştir. Ayrıca, GPA kareler toplamı ile tanjant kareler toplamı arasında küçük bir fark bulunmuştur 0,57. Sonuç: Çalışmamız sonucunda BTden elde edilen craniuma ait görüntülerin geometrik morfometri analizi ile yüksek bir dimorfizm gösterdiği tespit edilmiştir.

Makale detayları

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

Yazarlar:

Yusuf Seçgin | Zülal Öner | Serkan Öner | Şeyma Toy

Yayıncı:

Cukurova University

Ana Başlıklar:

Radyoloji ve Organ Görüntüleme | Adli Tıp | Klinik Tıp Bilimleri (Diğer)

Dergi:

Cukurova Medical Journal Vol.49 Issue 3, pp.769-778

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001327870

pISSN:

2602-3032

Cranium

computed tomography

geometric morphometry

gender predictionCranium

bilgisayarlı tomografi

geometrik morfometri

cinsiyet tahmini

Sayı

Makale detayları

Yazarlar: Yusuf Seçgin | Zülal Öner | Serkan Öner | Şeyma Toy

Yayıncı: Cukurova University

Ana Başlıklar: Radyoloji ve Organ Görüntüleme | Adli Tıp | Klinik Tıp Bilimleri (Diğer)

Dergi: Cukurova Medical Journal Vol.49 Issue 3, pp.769-778

Belge Tipi: Makale

Yayın Tarihi: 9/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001327870

pISSN: 2602-3032

Sayı

Yazarlar:

Yusuf Seçgin | Zülal Öner | Serkan Öner | Şeyma Toy

Yayıncı:

Cukurova University

Ana Başlıklar:

Radyoloji ve Organ Görüntüleme | Adli Tıp | Klinik Tıp Bilimleri (Diğer)

Dergi:

Cukurova Medical Journal Vol.49 Issue 3, pp.769-778

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001327870

pISSN:

2602-3032