DocumentCode :
3484135
Title :
Segmentation of trabecular bones from Vertebral bodies in volumetric CT spine images
Author :
Aslan, Melih S. ; Ali, Asem ; Arnold, Ben ; Fahmi, Rachid ; Farag, Aly A. ; Xiang, Ping
Author_Institution :
Comput. Vision & Image Process. Lab., Univ. of Louisville, Louisville, KY, USA
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
3385
Lastpage :
3388
Abstract :
We present a 3D segmentation technique of trabecular (cancellous) bones in CT images of Vertebral bodies (VBs). In order to be used for Bone Mineral Density (BMD) measurements, the cortical and trabecular bones are subsequently segmented using graph cuts method and local volume growing methods separately. In the final step, we measure our segmentation accuracy for each method. Validity was analyzed using ground truths of data sets and the European Spine Phantom (ESP). Preliminary results are very encouraging and a reproducibility of the results was achieved for 16 data sets. The average segmentation error is below 2.0% for both methods.
Keywords :
bone; computerised tomography; density measurement; image segmentation; medical image processing; neurophysiology; phantoms; 3D segmentation technique; European spine phantom; bone mineral density measurements; cortical bones; data sets ground truths; graph cuts method; trabecular bones segmentation; vertebral bodies; volume growing methods; volumetric CT spine images; Cancellous bone; Computed tomography; Density measurement; Electrostatic precipitators; Image segmentation; Imaging phantoms; Labeling; Minerals; Spine; Timing; 3D Segmentation; Bone Mineral Density; Spine column; segmentation accuracy; trabecular bone;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5413887
Filename :
5413887
Link To Document :
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