Abstract
A new method of detecting structured changes in trabecular bone, such as those associated with osteoporosis, was evaluated on magnetic resonance images of the wrist. The method was based on gray‐scale morphological granulometries which classify image texture by iteratively filtering an image and measuring the rate of change of structural diminution in a filtered‐image sequence. A classification scheme capable of distinguishing structural changes in trabecular bone starting from normal trabeculae through sclerotic, cystic, and grossly porotic bone is presented. Results of the application of this technique to the evaluation of high resolution magnetic resonance images of the wrist are presented.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 358-370 |
| Number of pages | 13 |
| Journal | Magnetic Resonance in Medicine |
| Volume | 29 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 1993 |
| Externally published | Yes |
Keywords
- MRI
- magnetic resonance imaging
- morphological imaging
- osteoporosis
- wrist imaging
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
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Chen, Y., Dougherty, E. R., Totterman, S. M., & Hornak, J. P. (1993). Classification of trabecular structure in magnetic resonance images based on morphological granulometries. Magnetic Resonance in Medicine, 29(3), 358-370. https://doi.org/10.1002/mrm.1910290312