Title :
Neural network classifier to threshold images from 3D microcomputed tomography
Author :
Feldkamp, L.A. ; Jesion, G. ; Puskorius, G.V. ; Kubinski, D.J.
Author_Institution :
Ford Motor Co., Dearborn, MI
Abstract :
Summary form only given. The authors discuss the use of a neural network to perform context-dependent thresholding of gray-scale three-dimensional images of trabecular and cortical bone as measured in vitro by high-resolution X-ray computed tomography. A classifier is constructed on the basis of a simple model of the blurring necessarily associated with the tomographic measurement
Keywords :
bone; computerised picture processing; computerised tomography; neural nets; 3D microcomputed tomography; blurring; classifier; context-dependent thresholding; cortical bone; gray-scale three-dimensional images; high-resolution X-ray computed tomography; in vitro; neural network; threshold images; tomographic measurement; trabecular; Bones; Computed tomography; Gray-scale; In vitro; Micromotors; Neural networks; Performance evaluation; Testing; X-ray imaging;
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
DOI :
10.1109/IJCNN.1991.155526
