Literature DB >> 7515775

Morphing as a means of generating variation in visual medical teaching materials.

B P Bergeron1, L Sato, R L Rouse.   

Abstract

In computer-based medical education, there is frequently a need to present students with pictorial data representative of the natural variation associated with disease presentations as well as the progression of disease within an individual. Because of the difficulty in acquiring such data, image acquisition is often the most resource-intensive phase of multimedia courseware development. In light of the resource demands associated with image content, many courseware designers do not make opportune use of image data, but rely instead upon text descriptions to provide variation in content. The resulting lack of adequate pictorial content often lessens the overall impact of the courseware. To overcome constraints imposed by the difficulty in acquiring pictorial content of sufficient richness, a methodology of generating variation in visual teaching materials has been developed through the use of morphing. These techniques have general applicability in creating variation in pictorial teaching materials in a variety of image-intensive domains.

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Year:  1994        PMID: 7515775     DOI: 10.1016/0010-4825(94)90033-7

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  3 in total

1.  Computer morphing of scanning electron micrographs: an adjunct to embryology teaching.

Authors:  M E Watt; S W McDonald; A Watt
Journal:  Surg Radiol Anat       Date:  1996       Impact factor: 1.246

2.  Generation of a suite of 3D computer-generated breast phantoms from a limited set of human subject data.

Authors:  Christina M L Hsu; Mark L Palmeri; W Paul Segars; Alexander I Veress; James T Dobbins
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

3.  Macular hole formation, progression, and surgical repair: case series of serial optical coherence tomography and time lapse morphing video study.

Authors:  Ronald C Gentile; Gennady Landa; Mauricio E Pons; Dean Eliott; Richard B Rosen
Journal:  BMC Ophthalmol       Date:  2010-09-17       Impact factor: 2.209

  3 in total

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