DocumentCode
1680423
Title
Quantification of trabecular bone structure from three-dimensional μMR images
Author
Accardo, A. ; Candido, G. ; Toffanin, R. ; Vittur, F. ; Jellus, V.
Author_Institution
Trieste Univ., Italy
Volume
2
fYear
2001
Firstpage
304
Abstract
Magnetic resonance imaging (MRI) has recently been applied to the study of osteoporosis. Accurate acquisition techniques and image analysis protocols for the determination of trabecular bone structure are yet to be defined. Two different approaches for three-dimensional acquisition and reconstruction are exploited to derive the structural parameters of trabecular bone explants. In particular, MR microscopy (μMRI) is used to obtain conventional (FT) and projection reconstruction (PR) spin-echo images (41×41×41 μm3 /voxel). Segmentation of the high-resolution images into bone and bone marrow is obtained by using a suitable threshold. The main bone structural parameters are then derived by using a 3D version of the directed secant algorithm applied to a series of contiguous sections. The efficiency of the two methods in the assessment of trabecular bone architecture is discussed
Keywords
biomedical MRI; bone; diseases; image reconstruction; image resolution; image segmentation; medical image processing; microscopy; μMRI; 3D directed secant algorithm; FT images; MR microscopy; bone marrow; contiguous sections; high resolution images; image reconstruction; image segmentation; magnetic resonance imaging; osteoporosis; projection reconstruction images; spin-echo images; three-dimensional μMR images; three-dimensional acquisition; trabecular bone structure; Cancellous bone; Histograms; Image analysis; Image reconstruction; Image resolution; Image segmentation; Magnetic resonance imaging; Microscopy; Osteoporosis; Protocols;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.958488
Filename
958488
Link To Document