Semi-automated detection of anterior cruciate ligament injury from MRI


Stajduhar I., Mamula M., Miletic D., Uenal G.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, cilt.140, ss.151-164, 2017 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 140
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1016/j.cmpb.2016.12.006
  • Dergi Adı: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
  • Sayfa Sayıları: ss.151-164

Özet

Background and objectives: A radiologist's work in detecting various injuries or pathologies from radiological scans can be tiresome, time consuming and prone to errors. The field of computer-aided diagnosis aims to reduce these factors by introducing a level of automation in the process. In this paper, we deal with the problem of detecting the presence of anterior cruciate ligament (ACL) injury in a human knee. We examine the possibility of aiding the diagnosis process by building a decision-support model for detecting the presence of milder ACL injuries (not requiring operative treatment) and complete ACL ruptures (requiring operative treatment) from sagittal plane magnetic resonance (MR) volumes of human knees.