Object definition is an increasingly important area of medical image research. Accurate and fairly rapid object definition is essential for measuring the size and, perhaps more importantly, the change in size of anatomical objects such as kidneys and tumors. Rapid and fairly accurate object definition is essential for 3D real-time visualization including both surgery planning and Radiation onco...

this study examined the effects of aural and written prompts under two planning conditions (i.e. pre-task planning and no planning) on complexity, accuracy, and fluency of test takers' writing production. forty learners in an english institute, who had already been classified as intermediate according to the oxford placement test, were assigned to two planning conditions (i.e. no planning and p...

The purpose of this paper is to demonstrate that an inexpensive 3D printer can be used to manufacture patient-specific bolus for external beam therapy, and to show we can accurately model this printed bolus in our treatment planning system for accurate treatment delivery. Percent depth-dose measurements and tissue maximum ratios were used to determine the characteristics of the printing materia...

Highway Hierarchies. The computation of shortest paths in a graph is a well-known problem in graph theory. One of the most obvious practical applications is route planning in a road network, i.e., finding an optimal route from a start location to a target location. It is often assumed that a given road network does not change very often and that there are many source-target queries on the same ...

We compare selected mesh generation methods from intensity data and binary segmentions with respect to their application to surgical planning and make recommendations on how to receive smooth and accurate surface meshes for exemplary cases. We consider especially local curvature, distances between two meshes (before and after processing) and volume preservation as measures. Sample data from the...

A novel approach for sensor planning, which incorporates multi-objective optimization principals into the autonomous design of sensing strategies, is presented. The study addresses planning the behavior of an automated 3D inspection system, consisting of a manipulator robot in an Eye-on-Hand configuration. Task planning in this context is stated as a constrained multi-objective optimization pro...

GOKUL VARADHAN: Accurate Sampling-Based Algorithms for Surface Extraction and Motion Planning. (Under the direction of Dinesh Manocha.) Boolean operations, Minkowski sum evaluation, configuration space computation, and motion planning are fundamental problems in solid modeling and robotics. Their applications include computer-aided design, numerically-controlled machining, tolerance verificatio...

A time-consuming component of IMRT optimization is the dose computation required in each iteration for the evaluation of the objective function. Accurate superposition/convolution (SC) and Monte Carlo (MC) dose calculations are currently considered too time-consuming for iterative IMRT dose calculation. Thus, fast, but less accurate algorithms such as pencil beam (PB) algorithms are typically u...