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Biomedical subjects

M R Stytz

Publications and source records attributed to M R Stytz.

4 recordsLinked to original sources

A distributed virtual environment prototype for emergency medical procedures training.

Because of the increasing complexity of emergency medical care, medical staffs require increasingly sophisticated training systems. Virtual environments offer a low cost means to achieve a widely usable yet sophisticated training capability. We describe the Virtual Emergency Room (VER) project, a simulation system designed to enable emergency department personnel within level I and II emergency rooms to practice emergency medical procedures and protocols. Because emergency rooms are manned by a wide variety of medical professionals, we are developing a simulation facility that uses a distributed virtual environment architecture to enable real-time, multi-participant simulations. The potential advantages of this system include the ability to evaluate and refine treatment skills, and the ability to provide scenario-specific training for mobile military field hospital teams. These advantages will ultimately improve the readiness of emergency department staffs for a wide variety of trauma situations. This paper describes the VER and the major components of its distributed virtual environment. The current capabilities of our system are described followed by a discussion of recommended follow-on work.

Computer Simulation↗

Computer systems for three-dimensional diagnostic imaging: an examination of the state of the art.

This survey reviews three-dimensional (3D) medical imaging machines and 3D medical imaging operations. The survey is designed to provide a snapshot overview of the present state of computer architectures for 3D medical imaging. The basic volume manipulation, object segmentation, and graphics operations required of a 3D medical imaging machine are described and sample algorithms are presented. The architecture and 3D imaging algorithms employed in 11 machines which render medical images are assessed. The performance of the machines is compared across several dimensions, including image resolution, elapsed time to form an image, imaging algorithms employed in the machine, and the degree of parallelism employed in the architecture. The innovation in each machine, whether architectural or algorithmic, is described in detail. General trends for future developments in this field are delineated and an extensive bibliography is provided.

Computer Systems↗

Three-dimensional medical imaging modalities: an overview.

Three-dimensional medical imaging modalities are reviewed with respect to their underlying science, data-gathering procedure, data interpretation, and image quality. A description of the main components of each data-gathering system is provided, and a brief history of the development of each modality is presented.

Diagnostic Imaging↗

Using kriging for 3D medical imaging.

We describe our implementation of kriging for interpolation of scalar values in three-dimensional medical image surface rendering and for slice interpolation. Kriging is an interpolation technique developed in the geosciences for estimating ore deposit spatial distributions. Kriging has been mathematically proven to be the best (statistically optimal) linear unbiased estimation technique for spatially distributed data. As a byproduct of the kriging technique, kriging can calculate the estimation error for the interslice interpolated values. Kriging also offers the potential for quantifying the interpolation error in slices computed by the estimation technique. This paper presents the initial results obtained using kriging for the pre-processing operations of slice interpolation by slice-value interpolation and interpolating voxel values during iso-surface extraction. We found that kriging is an accurate interpolation technique for surface rendering and for slice interpolation. Our results indicate that kriging can duplicate the rendering results obtained with other interpolation techniques and it offers the potential for providing visually "better" images than are obtained using the other interpolation techniques we tested.

Algorithms↗