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Classification of trabecular structure in magnetic resonance images based on morphological granulometries
Author(s) -
Chen Yidong,
Dougherty Edward R.,
Totterman Saara M.,
Hornak Joseph P.
Publication year - 1993
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.1910290312
Subject(s) - magnetic resonance imaging , trabecular bone , texture (cosmology) , osteoporosis , wrist , anatomy , materials science , nuclear magnetic resonance , artificial intelligence , medicine , computer science , image (mathematics) , radiology , pathology , physics
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.