Editorial
Editorial
Computerized medical imaging and graphics, v 14(5), pp 285-285
Sep 1990
Abstract
We as human beings are visually oriented animals, relying on our sense of sight for much of the data we gather about the world. This is as true in scientific endeavors as it is in our everyday lives and is reflected in the recent explosion of image processing and analysis in the field of neuroscience. However, whereas a single picture may be worth a thousand words, a single digitized image may contain millions of individual bits of data and neuroscientists, like scientists everywhere, want to know everything there is to know about every bit or pixel. Unfortunately, not all laboratories have the resources to install and run supercomputers to handle these massive amounts of data and so researchers have been forced to live and work with more modest systems. In a very real sense, this limitation has led inspired new, more efficient approaches to some age-old problems in image recognition, data handling, and three-dimensional reconstruction. Combined with the rapid growth of computational power and decreasing costs of microcomputers and workstations, these inspired effects have launched a new era in image-based research for the individual neuroscientist. For the first time, the biological researcher has the sophistication and power to solve many of his or her most difficult imaging problems without being forced to either hire computer programmers or sell their souls for a roomful of sophisticated equipment which may take years to comprehend. This Special Issue, derived from a Satellite Symposium entitled Progress in Computerized Imaging in the Neurosciences held at the 1988 Annual Meeting of the Society for Neuroscience in Toronto, Canada, will attempt to provide a ‘snapshot’ of the state of microcomputer and workstation imaging in the neurosciences. The main thrust of the issue is not on hardware involved with obtaining the image as much as the manuscripts focus on what can be done with the image once it has been obtained. [1st paragraph]
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Details
- Title
- Editorial
- Creators
- Donald L. McEachron - Drexel University
- Publication Details
- Computerized medical imaging and graphics, v 14(5), pp 285-285
- Publisher
- Elsevier
- Number of pages
- 1
- Resource Type
- Editorial
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:A1990DY40600001
- Scopus ID
- 2-s2.0-0025489015
- Other Identifier
- 991019184187004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Biomedical
- Radiology, Nuclear Medicine & Medical Imaging