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Osteoporosis is a major health problem worldwide, and is projected to increase exponentially due to the aging of the population. The absolute fracture risk in individual subjects is calculated by the use of algorithms which include bone mineral density (BMD), age, gender, history of prior fracture and other risk factors. This review describes the laboratory(More)
In this paper, we address the problem of 2D-3D pose estimation. Specifically, we propose an approach to jointly track a rigid object in a 2D image sequence and to estimate its pose (position and orientation) in 3D space. We revisit a joint 2D segmentation/3D pose estimation technique, and then extend the framework by incorporating a particle filter to(More)
The bovine leukemia virus (BLV) is the causative agent of enzootic bovine leucosis. This study investigated the presence of the BLV in leukemia (179 acute lymphoblastic leukemia, 292 acute myeloid leukemia and 46 chronic myelogenous leukemia cases) and 162 lung cancer patients (139 adenocarcinoma, 23 squamous cell carcinoma) to determine if the BLV is a(More)
In this paper, we present a visual pose tracking algorithm based on Monte Carlo sampling of special Euclidean group SE(3) and knowledge of a 3D model. In general, the relative pose of an object in 3D space can be described by sequential transformation matrices at each time step. Thus, the objective of this work is to find a transformation matrix in SE(3) so(More)
We present an approach for tracking a moving object based on range information in stereoscopic temporal imagery. Range information is filtered by the proposed dynamic scheme to improve the quality of active contour segmentation, and to better estimate the global motion of the object. Region-based active contours using Bhattacharyya gradient flow is(More)
In this paper, we propose an approach for tracking an object of interest based on 3-D range data. We employ particle filtering and active contours to simultaneously estimate the global motion of the object and its local deformations. The proposed algorithm takes advantage of range information to deal with the challenging (but common) situation in which the(More)
This preliminary study assessed the association between ossification of the posterior longitudinal ligament (OPLL) and the transforming growth factor β receptor type 2 (TGFBR2) gene, with autoimmune disease examined as a possible underlying factor. Twenty-one patients diagnosed with OPLL and 42 control patients without OPLL (non-OPLL) were enrolled in the(More)
[Purpose] The purpose of this study was to determine the effect of a weight-bearing therapeutic exercise program for elite athletes diagnosed as having patellofemoral pain syndrome (PFPS). [Subjects] The subjects were 34 elite athletes from the Seoul T Center. They were randomly allocated to three groups: an elastic band exercise group (EBG), a sling(More)
This work presents a deformable point set registration algorithm that seeks an optimal set of radial basis functions to describe the registration. A novel, global optimization approach is introduced composed of simulated annealing with a particle filter based generator function to perform the registration. It is shown how constraints can be incorporated(More)