Fully automated segmentation of lungs and large cancerous areas Akciǧerler ve geniş kanserli alanlarin tam otomatik olarak bölütlenmesi
2014 22nd Signal Processing and Communications Applications Conference, SIU 2014, Trabzon, Türkiye, 23 - 25 Nisan 2014, ss.606-609, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/siu.2014.6830302
- Basıldığı Şehir: Trabzon
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.606-609
- Anahtar Kelimeler: Computed Tomography (Cl), Radiation Treatment Planning (RTP), segmentation, lung, cancer
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
In the field of modern radiotherapy, in order to determine the critical organs and cancerous areas accurately various automated segmentation algorithms have been proposed. Segmentation of the lungs from computed tomography (CT) scans is an indispensable part of radiation treatment planning (RTP). Conventional lung segmentation algorithms may fail due to the low contrast between the lungs and surrounding structures in case of large cancerous areas. In this study, to be used in RTP, a fully automated method that can segment the lungs from CT scans accurately and in the sequel detect large cancerous areas is proposed. The proposed method that consists of 8 steps in total and includes our new algorithms along with the well-known image processing algorithms was applied to the CT scans of 20 patients with lung cancer. The obtained results show that this concise and effective method avoiding heavy computational load and offering expedited segmentation may be used in RTP. © 2014 IEEE.