Abstract
Digital image processing texture analysis methods are implemented to detect and quantitate trabecular pattern changes for computer-assisted diagnosis of bone loss diseases. Techniques are described for extracting certain textural features, namely, run length statistics, fractal dimension, and relative extrema density from standard film radiographs of trabecular bone. Results of a study are given that suggest that these features are able to quantitate changes that occur in a clinical disuse osteoporosis model.
| Original language | English |
|---|---|
| Pages | 1334-1335 |
| Number of pages | 2 |
| State | Published - 1987 |