Peripheral arterial disease (PAD) is common and expensive; in the United States alone, Medicare-funded inpatient costs in 2001 were estimated at $4.4 billion. The superficial femoral artery (SFA) is the most frequently involved segment in symptomatic PAD, irrespective of sex or race. Although endovascular intervention in the SFA is generally considered safe and efficacious, simple angioplasty h...

We propose a novel and fast way to perform 2D-3D registration between available intra-operative 2D images with preoperative 3D images in order to provide better image-guidance. The current work is a feature based registration algorithm that allows the similarity to be evaluated in a very efficient and faster manner than that of intensity based approaches. The current approach is focused on solv...

It is very useful and increasingly popular to extract accurate road centerlines from very-high-resolution (VHR) remote sensing imagery for various applications, such as road map generation and updating etc. There are three shortcomings of current methods: (a) Due to the noise and occlusions (owing to vehicles and trees), most road extraction methods bring in heterogeneous classification results...

The quantitative analysis of the airway tree is of critical importance in the CT-based diagnosis and treatment of popular pulmonary diseases. The extraction of airway centerline is a precursor to identify airway hierarchical structure, measure geometrical parameters, and guide visualized detection. Traditional methods suffer from extra branches and circles due to incomplete segmentation results...

To improve the speed and accuracy of cerebral vessel extraction, a fast and robust method is proposed in this paper. First, volume data are divided into sub-volumes by using octree, and at the same time invalid volume data are eliminated. Second, fuzzy connectedness is introduced to achieve fast cerebral vessel segmentation from 3D MRA Images. The values of gradient and Laplacian transformation...

CONTRIBUTIONS We propose a novel framework for joint 3-D vessel segmentation and centerline extraction. The approach is based on multivariate Hough voting and oblique random forests (RFs) that we learn from noisy annotations. It relies on steerable filters for the efficient computation of local image features at different scales and orientations. EXPERIMENTS We validate both the segmentation ...

Various methods have been proposed to extract coronary artery centerlines from computed tomography angiography (CTA) data. Almost all previous approaches are data-driven, which try to trace a centerline from an automatically detected or manually specified coronary ostium. No or little high level prior information is used; therefore, the centerline tracing procedure may terminate early at a seve...

The main objective of this paper is to report on unsafe actions of motor vehicle drivers at railroadhighway grade crossings and drivers’ response to installation of a centerline barrier that prevented them from driving around the gates. A comparison of unsafe driver actions in the preand post-barrier periods provided an idea about the effectiveness of the barrier in reducing unsafe driver actio...

We sought to identify theoretical advantages and applications of the centerline method for quantitative assessment of regional ventricular function. Motion was measured along 100 chords constructed perpendicular to a centerline drawn midway between the end-diastolic and end-systolic contours, and normalized for heart size. Abnormality was expressed in units of standard deviations from the mean ...