Greg G Slabaugh

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This paper presents Pearling, a novel three-dimensional approach to the interactive segmentation and modeling of tubular structures from a volumetric image. Given a user-supplied initialization, Pearling extracts runs of pearls (balls) from the image, where each pearl is specified by a center position and radius. The runs are combined into a graph, with(More)
PURPOSE Computed tomographic (CT) colonography is a relatively new technique for detecting bowel cancer or potentially precancerous polyps. CT scanning is combined with three-dimensional (3D) image reconstruction to produce a virtual endoluminal representation similar to optical colonoscopy. Because retained fluid and stool can mimic pathology, CT data are(More)
Segmentation of arterial wall boundaries from intravascu-lar images is an important problem for many applications in study of plaque characteristics, mechanical properties of the arterial wall, its 3D reconstruction, and its measurements such as lumen size, lumen radius, and wall radius. We present a shape-driven approach to segmentation of the arterial(More)
We present a graph cuts-based image segmentation technique that incorporates an elliptical shape prior. Inclusion of this shape constraint restricts the solution space of the seg-mentation result, increasing robustness to misleading information that results from noise, weak boundaries, and clutter. We argue that combining a shape prior with a graph cuts(More)
This paper presents a new, fully automatic method of accurately extracting lesions from CT data. It first determines, at each voxel, a five-dimensional feature vector that contains intensity, shape index, and 3D spatial location. Then, non-parametric mean shift clustering is applied to produce intensity and shape mode maps. Finally, a graph cut algorithm(More)
In building robust classifiers for computer-aided detection (CAD) of lesions, selection of relevant features is of fundamental importance. Typically one is interested in determining which, of a large number of potentially redundant or noisy features, are most discriminative for classification. Searching all possible subsets of features is impractical(More)
The most frequent cause of heart attack and sudden cardiac death is the disruption of plaque build ups in the arteries. Current technologies such as intravascular ultrasound (IVUS) and optical coherence tomography (OCT) image the vessels from inside-out in order to detect plaque deposits as well as other structures. In this work we develop a novel image(More)
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Online is checked for eligibility for copyright before being made available in the live archive. URLs from City Research Online may be freely distributed and linked to from other web pages. Enquiries If you have any enquiries about any aspect of City Research Online, or if you wish to make contact with the author(s) of this paper, please email the team at(More)