Live level set: a hybrid method of livewire and level set for medical image segmentation.
Livewire and level set are popular methods for medical image segmentation. In this article, the authors propose a hybrid method of livewire and level set, termed the live level set (LLS). The LLS replaces the one graph update iteration in the classic livewire with two iterations of graph updates. The first iteration generates an initial contour for a level set computation. The level set distance is then factored back into the cost function in the second iteration of graph update. The authors validated LLS using synthetic images. The results show that the performance of the LLS is superior to both the classic live wire and traditional level set methods in terms of accuracy, reproducibility, smoothness and running time. They also qualitatively evaluated the LLS using real clinical data.
Yao
Jianhua
J
Diagnostic Radiology Department, Warren G. Magnuson Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, USA. jyao@cc.nih.gov
Chen
David
D
D003198:Computer Simulation; D005260:Female; D006801:Humans; D007719:Knee Joint / Q000033:anatomy & histology; D007889:Leiomyoma / Q000000981:diagnostic imaging; D008099:Liver / Q000000981:diagnostic imaging; D010363:Pattern Recognition, Automated; D011857:Radiographic Image Interpretation, Computer-Assisted