Automatic labeling of portal and hepatic veins from MR images prior to liver transplantation

GÖÇERİ E.

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, cilt.11, sa.12, ss.2153-2161, 2016 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 11 Sayı: 12
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1007/s11548-016-1446-8
  • Dergi Adı: INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.2153-2161
  • Anahtar Kelimeler: Vessel labeling, Hepatic vein, Portal vein, Vessel segmentation, MR images, TRAINABLE COSFIRE FILTERS, VESSEL EXTRACTION, RETINAL IMAGES, CT-VOLUMETRY, DISEASE MELD, SEGMENTATION, MODEL, VASCULATURE, ALGORITHMS, ALLOCATION
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Living donated liver transplantation is an important task since a person (healthy donor) donates some part of her/his liver to a person in this surgery operation. The success of this operation mainly depends on the sufficiency of vessels and volume of the liver. Accurate labeling of portal and hepatic veins of donors reduces the incidence of complications during and after transplantation. Therefore, prior to the hepatic surgery, automatic analysis and labeling of vasculature structures in the liver are vital to see whether liver is suitable or not for transplantation. However, automatic labeling of veins in the liver is challenging because of partial volume effects, noise and image resolution, which causes wrong connections between vessels. The goal of this paper is to propose an automatic labeling approach for vessels.