Classification of trabecular structure in magnetic resonance images based on morphological granulometries

Yidong Chen, Edward R. Dougherty, Saara M. Totterman, Joseph P. Hornak

Producción científica: Articlerevisión exhaustiva

45 Citas (Scopus)

Resumen

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.

Idioma originalEnglish (US)
Páginas (desde-hasta)358-370
Número de páginas13
PublicaciónMagnetic Resonance in Medicine
Volumen29
N.º3
DOI
EstadoPublished - mar 1993
Publicado de forma externa

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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