Journal article
Image processing for the rest of us: The potential utility of inexpensive computerized image analysis in clinical pathology and radiology
Computerized medical imaging and graphics, v 13(1), pp 3-30
1989
PMID: 2647281
Abstract
Recent progress in computer technology in both hardware and software, combined with marked cost reductions, have placed quantitatively accurate video densitometry systems within the reach of the individual clinician, biomedical researcher, and community hospital. While much of the attention generated by advances in image processing has focussed on larger scale procedures, such as CAT, chemical shift, and positron emission tomography, important applications can be found for considerably more modest systems. In this article, we discuss three such applications of DUMAS, a personal computer-based imaging system developed by the Image Processing Center at Drexel University. A potential technique for quantifying numbers of estrogen receptors in tumorous breast tissue samples as a predictor of patient responsiveness to hormonal therapy is described first, along with possible sources of error. The second application, also related to clinical pathology and cancer, outlines methods for relating changes in nuclear and cell morphology to the diagnosis of Sezary Cell Syndrome. The utility of binary image filtering methods in the classification of cell types is discussed. The third application involves the development of a semi-automatic procedure for the determination of vessel diameter in arteriograms. A detailed description of the optimization and curve-fitting algorithms is provided along with preliminary test results comparing various approaches. The need for user demand to fuel research and development in small-scale imaging systems is also discussed.
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Details
- Title
- Image processing for the rest of us: The potential utility of inexpensive computerized image analysis in clinical pathology and radiology
- Creators
- Donald L. McEachron - Drexel UniversitySusan Hess - Drexel UniversityLewis B. Knecht - IBMLawrence D. True - Yale University
- Publication Details
- Computerized medical imaging and graphics, v 13(1), pp 3-30
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:A1989T055800002
- Scopus ID
- 2-s2.0-0024497310
- Other Identifier
- 991019173902604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Biomedical
- Radiology, Nuclear Medicine & Medical Imaging