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Proceedings Paper

Principal Components Analysis In Medical Imaging
Author(s): J. B. Weaver; A. L. Huddleston
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Paper Abstract

Principal components analysis, PCA, is basically a data reduction technique. PCA has been used in several problems in diagnostic radiology: processing radioisotope brain scans (Ref.1), automatic alignment of radionuclide images (Ref. 2), processing MRI images (Ref. 3,4), analyzing first-pass cardiac studies (Ref. 5) correcting for attenuation in bone mineral measurements (Ref. 6) and in dual energy x-ray imaging (Ref. 6,7). This paper will progress as follows; a brief introduction to the mathematics of PCA will be followed by two brief examples of how PCA has been used in the literature. Finally my own experience with PCA in dual-energy x-ray imaging will be given.

Paper Details

Date Published: 12 June 1986
PDF: 7 pages
Proc. SPIE 0626, Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems, (12 June 1986); doi: 10.1117/12.975376
Show Author Affiliations
J. B. Weaver, Dartmouth-Hitchcock Medical Center (United States)
A. L. Huddleston, Texas Tech Health Sciences Center (United States)


Published in SPIE Proceedings Vol. 0626:
Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems
Samuel J. Dwyer; Roger H. Schneider, Editor(s)

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