PURPOSE A new segmentation technique is implemented for automatic lumen area extraction and stent strut detection in intravascular optical coherence tomography (OCT) images for the purpose of quantitative analysis of in-stent restenosis (ISR). In addition, a user-friendly graphical user interface (GUI) is developed based on the employed algorithm toward clinical use. METHODS Four clinical dat...

BACKGROUND The extraction of brain tissue from cerebral MRI volume is an important pre-procedure for neuroimage analyses. The authors have developed an accurate and robust brain extraction method using a hybrid level set based active contour neighborhood model. METHODS The method uses a nonlinear speed function in the hybrid level set model to eliminate boundary leakage. When using the new hy...

Roads are significant objects of an infrastructure and the extraction of roads from aerial and satellite images are important for different applications such as automated map generation and change detection. Roads are also important to detect other structures such as buildings and urban areas. In this paper, the road extraction approach is based on Active Contour Models for 1-meter resolution g...

A methodology for both accurate and smooth contour line generation from Light Detection 1 and Ranging (LiDAR) point clouds is proposed in this paper. In order to improve the accuracy of 2 contour lines in the area of forests, constrained triangulation networks with break lines are then 3 constructed to generate contour lines. In break line extraction, a bi-threshold method for edge line 4 detec...