Classification of trabecular structure in magnetic resonance images based on morphological granulometries.
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.
Chen
Y
Y
Center for Imaging Science, Rochester Institute of Technology, NY 14623.
Dougherty
E R
ER
Totterman
S M
SM
Hornak
J P
JP
D000293:Adolescent; D000328:Adult; D001845:Bone Cysts / Q000473:pathology; D015519:Bone Density; D001842:Bone and Bones / Q000473:pathology*; D002348:Carpal Bones / Q000473:pathology; D002965:Classification; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D008962:Models, Theoretical; D015588:Observer Variation; D010020:Osteonecrosis / Q000473:pathology; D010024:Osteoporosis / Q000175:diagnosis / Q000473:pathology; D011884:Radius / Q000473:pathology; D012598:Sclerosis