Comparison of lung tumor segmentation methods on PET images PET GÖRÜNTÜLERINDE AKCIǦER TÜMÖRÜ SEGMENTASYONU YÖNTEMLERININ KARŞILAŞTIRILMASI
Medical Technologies National Conference, TIPTEKNO 2015, Bodrum, Türkiye, 15 - 18 Ekim 2015, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/tiptekno.2015.7374569
- Basıldığı Şehir: Bodrum
- Basıldığı Ülke: Türkiye
- Anahtar Kelimeler: active contour, k-means, Otsu's tresholding, segmentation
- Sağlık Bilimleri Üniversitesi Adresli: Hayır
Özet
Lung cancer is the most common cause of cancer-related deaths that occur all over the world. Recently, various image processing approaches have been used on PET images in order to characterize the uniformity, density, coarseness, roughness, and regularity (i.e., texture properties) of the intratumoral 18F-fluorodeoxyglucose (FDG) uptake. The first and important step of this kind of analysis is to differentiate tumor region from other structures and background, which is called segmentation. In this study, k-means, active contour (snake), and Otsu's tresholding methods were applied on PET images obtained from 36 patients and the performances were compared by the nuclear medicine expert in our team. The results show that Otsu tresholding approach is more selective.