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Biomedical subjects

Steven Senger

Publications and source records attributed to Steven Senger.

3 recordsLinked to original sources

The visible human and digital anatomy learning initiative.

A collaborative initiative is starting within the Internet2 Health Science community to explore the development of a framework for providing access to digital anatomical teaching resources over Internet2. This is a cross-cutting initiative with broad applicability and will require the involvement of a diverse collection of communities. It will seize an opportunity created by a convergence of needs and technical capabilities to identify the technologies and standards needed to support a sophisticated collection of tools for teaching anatomy.

Anatomy↗

Visualizing volumetric data sets using a wireless handheld computer.

We describe two extensions to the Nomadic Anatomy Viewer application that both make use of a statistical clustering analysis. In the first case the results of clustering are used to identify the geometry of the local neighborhood and provide for automated navigation along structures. In the second case the analysis is used to support a pen-based interface for interactively rendering selected portions of a volumetric data set.

Computer Simulation↗

Simulated medical learning environments on the Internet.

Learning anatomy and surgical procedures requires both a conceptual understanding of three-dimensional anatomy and a hands-on manipulation of tools and tissue. Such virtual resources are not available widely, are expensive, and may be culturally disallowed. Simulation technology, using high-performance computers and graphics, permits realistic real-time display of anatomy. Haptics technology supports the ability to probe and feel this virtual anatomy through the use of virtual tools. The Internet permits world-wide access to resources. We have brought together high-performance servers and high-bandwidth communication using the Next Generation Internet and complex bimanual haptics to simulate a tool-based learning environment for wide use. This article presents the technologic basis of this environment and some evaluation of its use in the gross anatomy course at Stanford University.

Anatomy↗