Greg G. Slabaugh

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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)
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)
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)
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)
[ from the EDITOR ] s many of you have heard, Thomson Reuters has recently released its Jour nal Citation Reports (JCR), where IEEE Signal Processing Magazine has ranked first among all IEEE publications (125 in total) and among all publications within the electrical and electronics engineering category worldwide (245 in total). JCR provides " a systematic,(More)
This paper introduces a novel segmentation technique, called pearling, for identifying tubular structures in images. Examples of such structures include, but are not limited to, blood vessels, bones, roads, rivers, electrical wirings, and brush-strokes. Pearling allows the user to extract a higher level parametric representation of each tube or of a network(More)