We propose an image-based motion tracking algorithm that can be used with stereo endoscopie and microscope systems. the tracking problem is considered to be a time-varying optimization of a parametric function describ...
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A problem of early diagnostics of vascular pathologies is discussed. the method of diagnostic features estimation based on the mathematical model of a retina vessel fragment is presented. the experimental studies of t...
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Current minimally invasive techniques for beating heart surgery are associated withthree major limitations: the shortage of realistic and safe training methods, the process of selecting port locations for optimal tar...
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Current minimally invasive techniques for beating heart surgery are associated withthree major limitations: the shortage of realistic and safe training methods, the process of selecting port locations for optimal target coverage from X-rays and angiograms, and the sole use of the endoscope for instrument navigation in a dynamic and confined 3D environment. To supplement the current surgery training, planning and guidance methods, we continue-to develop our Virtual Cardiac Surgery Planning environment (VCSP) - a virtual reality, patient-specific, thoracic cavity model derived from 3D pre-procedural images. In this work, we create and validate dynamic models of the heart and its components. A static model is first generated by segmenting one of the image frames in a given 4D data set. the dynamics of this model are then extracted from the remaining image frames using a non-linear, intensity-based registration algorithm with a choice of six different similarity metrics. the algorithm is validated on an artificial CT image set created using an excised porcine heart, on CT images of canine subjects, and on MR images of human volunteers. We found that withthe appropriate choice of similarity metric, our algorithm extracts the motion of the epicardial surface in CT images, or of the myocardium, right atrium, right ventricle, aorta, left atrium, pulmonary arteries, vena, cava and epicardial surface in MR images, with a root mean square error in the I rum range. these results indicate that our method of modeling the motion of the heart is easily adaptable and sufficiently accurate to meet the requirements for reliable cardiac surgery training, planning, and guidance. (C) 2004 Elsevier B.V. All rights reserved.
the advent and accelerated adoption of laparoscopic surgery requires an objective assessment of both operative performance and perceptual events that lead to clinical decisions. In this paper we present a framework to...
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this paper investigates the use of a total least squares approach in a generalization of the iterative closest point (ICP) algorithm for shape registration. A new Generalized Total Least Squares (GTLS) formulation of ...
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In this paper, we present a physics-based deformable model framework for the quantification of shape and motion parameters of the Left Anterior Descending (LAD) coronary artery in the heart's local frame of refere...
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Partial volume effects are present in nearly all medical imaging data. these artifacts blur the boundaries between different regions, making accurate delineation of anatomical structures difficult. In this paper, we p...
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this work involves the conception of the experimental dosimetric testing setup of an image based procedure for intravascular brachytherapy by 192Ir seed in peripheral arteries. After making sure of the suitability of ...
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this paper presents a novel segmentation approach featuring shape constraints of multiple structures. A framework is developed combining statistical shape modeling with a maximum a posteriori segmentation problem. the...
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this paper extends our prior work on multi-modal image registration based on the a priori knowledge of the joint intensity distribution that we expect to obtain, and Kullback-Leibler distance. this expected joint dist...
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