Early glaucoma detection by Fourier transform analysis of digiti

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128654, 128745, 356223, G06F 1500, A61B 600, A61B 1300, G01J 142

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active

052335178

ABSTRACT:
Early glaucoma detection by a system and a method of fast Fourier transform analysis of digitized eye fundus images is disclosed. In this system, a red-free photograph of the eye fundus is first converted to digital form, and then the topography is further studied by taking sectional views, each of which is restated as a waveform. Each waveform represents the outline of the hills and valleys or "landscape" of the eye fundus and has a low signal-to-noise ratio. The noise is filtered out by taking adjacent slices and averaging the waveform signals thereof. Optionally, linear regression and window functions are used to eliminate trend and endpoint effects. This reduced digitized data is now the RNFL image in spatial frequency components. Using a fast Fourier transform function to calculate the power spectrum at each spatial frequency, the waveform is graphically represented on a printer/plotter. When resultant waveforms representative of RNFL topographic sections are presented from spaced-in-time eye fundus photographs, comparisons thereof are usable to provide early diagnoses and to monitor the progress of pathological conditions, especially glaucomatous conditions. In glaucoma throughout the progress of the disease, the landscape continually flattens, and, thus, this method of digitized imaging is useful in detecting previously indiscernible changes.

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patent: 5016173 (1991-05-01), Kenet et al.

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