Biomedical subjects

R Pichumani

Publications and source records attributed to R Pichumani.

3 recordsLinked to original sources

PubMed1998

Information frames: a new multimedia approach to Web-based learning of biology and medicine.

Presentation of content in hyperlinked multimedia formats for teaching has failed using the computer's power of navigation through rich visual and auditory information. We have developed "Information Frames", an authoring tool in hypertext markup language (html) format, that allows easy utilization by technology-challenged teachers and professors, and attracts students because of interactive, design-based learning. An Information Frame contains a definition, explanation and illustration of a single concept. Topics are provided with hyperlinks to other Information Frames having related concepts that may provide prerequisite knowledge, or may raise the concept to a more integrative level. A graphical view of the linked-Information Frames presents a Concept Map of the overall topic.

Computer Communication Networks↗

PubMed1998

Formative design of a virtual learning environment.

Current technology for 3D visualization, modeling and interaction allows the construction of attractive virtual environments for study of anatomy, surgery and other biomedical fields. The formative methodology for designing such environments is uncharted, but necessary before committing to large scale development. We present one such methodology undertaken during the design of a learning environment for biology for high school and middle school students. We expect to extend this design methodology to the development of environments for the teaching of medical subjects.

Animals↗

PubMed1995

Registration error quantification of a surface-based multimodality image fusion system.

This paper presents a new reference data set and associated quantification methodology to assess the accuracy of registration of computerized tomography (CT) and magnetic-resonance (MR) images. Also described is a new semiautomatic surface-based system for registering and visualizing CT and MR images. The registration error of the system was determined using a reference data set that was obtained from a cadaver in which rigid fiducial tubes were inserted prior to imaging. Registration error was measured as the distance between an analytic expression for each fiducial tube in one image set and transformed samples of the corresponding tube obtained from the other. Registration was accomplished by first identifying surfaces of similar anatomic structures in each image set. A transformation that best registered these structures was determined using a nonlinear optimization procedure. Even though the root-mean-square (rms) distance at the registered surfaces was similar to that reported by other groups, it was found that rms distances for the tubes were significantly larger than the final rms distances between the registered surfaces. It was also found that minimizing rms distance at the surface did not minimize rms distance for the tubes.

Biophysical Phenomena↗