Development of a neural network for early detection of renal osteodystrophy

Shirley Nian-Chang Cheng; Heang-Ping Chan; Ronald Adler M.D.; Loren T. Niklason; Chair-Li Chang

doi:10.1117/12.44288

1 July 1991 Development of a neural network for early detection of renal osteodystrophy

Shirley Nian-Chang Cheng, Heang-Ping Chan, Ronald Adler M.D., Loren T. Niklason, Chair-Li Chang

Proceedings Volume 1450, Biomedical Image Processing II; (1991) https://doi.org/10.1117/12.44288
Event: Electronic Imaging '91, 1991, San Jose, CA, United States

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.

Citation Download Citation

Shirley Nian-Chang Cheng, Heang-Ping Chan, Ronald Adler M.D., Loren T. Niklason, and Chair-Li Chang "Development of a neural network for early detection of renal osteodystrophy", Proc. SPIE 1450, Biomedical Image Processing II, (1 July 1991); https://doi.org/10.1117/12.44288

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