Automated morphometric analysis in peripheral neuropathies.
We describe a three-step algorithm for the morphometric analysis of color images of nerve specimens, currently used in the diagnosis of peripheral neuropathies. The algorithm first segments the images by applying a clustering method in the color space. It then identifies and eliminates irrelevant regions and, in the final step, calculates the diagnostic parameters required for clinical analysis. The results obtained on 25 images are reported and compared with corresponding measurements made by neurologists.
Campadelli
P
P
Dipartimento di Scienze dell'Informazione, Università degli Studi di Milano, Milan, Italy. campadelli@dsi.unimi.it
Gangai
C
C
Pasquale
F
F
D000465:Algorithms; D001369:Axons / Q000648:ultrastructure; D003116:Color; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009186:Myelin Sheath / Q000648:ultrastructure; D009412:Nerve Fibers / Q000648:ultrastructure; D009413:Nerve Fibers, Myelinated / Q000648:ultrastructure; D016571:Neural Networks, Computer; D009462:Neurology; D015588:Observer Variation; D010363:Pattern Recognition, Automated; D010523:Peripheral Nervous System Diseases / Q000473:pathology*; D013497:Sural Nerve / Q000473:pathology