We propose new hybrid methods for automated segmentation of radiological patient data and the Visible Human data. In this paper, we integrate boundary-based and region-based segmentation methods which amplifies the st...
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Segmentation of MRI volumes is complicated by RF inhomogeneity, noise and partial volume artifacts. Fully automatic methods often do not cope well with a combination of these problems. Semi-automatic methods are gener...
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In this paper, we examine the problem of point-based registration in which a pair of two-dimensional projective views of an object is used to reconstruct the three-dimensional position of given points within the objec...
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Recent figures show that approximately 1 in 11 women in the western world will develop breast cancer duringt he course of their lives. Early detection greatly improves prognosis and considerable research has been unde...
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A major problem with non-rigid image registration techniques in many applications is their tendency to reduce the volume of contrast-enhancing structures [10]. Contrast enhancement is an intensity inconsistency, which...
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Measuring the thickness of sheet-like (or plate-like) anatomical structures, such as articular cartilages and brain cortex, in 3D magnetic resonance (MR) images is often an important diagnostic procedure. The purpose ...
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The paper presents a novel approach to integrate a robot and an optical 3D digitizing system. In a first application, the combined system is used as a sophisticated tool for precise preparation of the acetabulum and f...
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We propose a method for creating a 3-D statistical shape model of the left ventricle from sets of sparse 2-D contour inputs. Since the input contours may not delineate consistent portions of the underlying organ from ...
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In this paper, we compare two restoration techniques applied to 3D angiographies and to femoral CT scans. The first technique uses a Partial Derivative Equation and the second one is based on an extension of adaptive ...
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