Journal article
The variation in user drawn outlines on digital images: Effects on quantitative autoradiography
Computerized medical imaging and graphics, v 14(5), pp 331-339
1990
PMID: 2224831
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Variation in user outlines drawn to delineate neural regions is the only source of error added to autoradiographic images after the images have been digitized. By analyzing data compiled from many outlines drawn by several different investigators, it was demonstrated that this variation constitutes a major source of error affecting quantitative autoradiography. Both the gray level variation and average within a region, as well as the specific pixels included in an outline, were affected. However, using the intersection of multiple outlining attempts surrounding any given region and a consistent set of outlining criteria, it was possible to delineate a region which remained consistent from user to user. A technique for automating the consistent outlining process is discussed.
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Details
- Title
- The variation in user drawn outlines on digital images: Effects on quantitative autoradiography
- Creators
- James L. Eilbert - Drexel UniversityC.R. Gallistel - University of PennsylvaniaDonald L. McEachron - Drexel University
- Publication Details
- Computerized medical imaging and graphics, v 14(5), pp 331-339
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:A1990DY40600005
- Scopus ID
- 2-s2.0-0025483023
- Other Identifier
- 991019174725004721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Biomedical
- Radiology, Nuclear Medicine & Medical Imaging