Automated segmentation of the injured spleen

Dandin, Ozgur; Teomete, Uygar; OSMAN, ONUR; Tulum, Gokalp; Ergin, Tuncer; SABUNCUOĞLU, Mehmet

doi:10.1007/s11548-015-1288-9

Automated segmentation of the injured spleen

Dandin O., Teomete U., OSMAN O., Tulum G., Ergin T., SABUNCUOĞLU M. Z.

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, cilt.11, sa.3, ss.351-368, 2016 (SCI-Expanded, Scopus)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 11 Sayı: 3
Basım Tarihi: 2016
Doi Numarası: 10.1007/s11548-015-1288-9
Dergi Adı: INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.351-368
Süleyman Demirel Üniversitesi Adresli: Evet

Özet

Purpose To develop a novel automated method for segmentation of the injured spleen using morphological properties following abdominal trauma. Average attenuation of a normal spleen in computed tomography (CT) does not vary significantly between subjects. However, in the case of solid organ injury, the shape and attenuation of the spleen on CT may vary depending on the time and severity of the injury. Timely assessment of the severity and extent of the injury is of vital importance in the setting of trauma.