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Proceedings Paper

Development of a neural network for early detection of renal osteodystrophy
Author(s): Shirley Nian-Chang Cheng; Heang-Ping Chan; Ronald Adler; Loren T. Niklason; Chair-Li Chang
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Paper Abstract

Bone erosion presenting as subperiosteal resorption on the phalanges of the hand is an early manifestation of hyperparathyroidism associated with chronic renal failure. At present, the diagnosis is made by trained radiologists through visual inspection of hand radiographs. In this study, a neural network is being developed to assess the feasibility of computer-aided detection of these changes. A two-pass approach is adopted. The digitized image is first compressed by a Laplacian pyramid compact code. The first neural network locates the region of interest using vertical projections along the phalanges and then the horizontal projections across the phalanges. A second neural network is used to classify texture variations of trabecular patterns in the region using a concurrence matrix as the input to a two-dimensional sensor layer to detect the degree of associated osteopenia. Preliminary results demonstrate the feasibility of this approach.

Paper Details

Date Published: 1 July 1991
PDF: 9 pages
Proc. SPIE 1450, Biomedical Image Processing II, (1 July 1991); doi: 10.1117/12.44288
Show Author Affiliations
Shirley Nian-Chang Cheng, Univ. of Missouri/Rolla and Univ. of Missouri Engineering Ed (United States)
Heang-Ping Chan, Univ. of Michigan (United States)
Ronald Adler, Univ. of Michigan (United States)
Loren T. Niklason, Univ. of Michigan (United States)
Chair-Li Chang, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 1450:
Biomedical Image Processing II
Alan Conrad Bovik; Vyvyan Howard, Editor(s)

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