DocumentCode
853432
Title
Measurement of trabecular bone thickness in the limited resolution regime of in vivo MRI by fuzzy distance transform
Author
Saha, Punam K. ; Wehrli, Felix W.
Author_Institution
Dept. of Radiol., Univ. of Pennsylvania, Philadelphia, PA, USA
Volume
23
Issue
1
fYear
2004
Firstpage
53
Lastpage
62
Abstract
Trabecular or cancellous bone, the type of bone found in the vertebrae and near the joints of long bones, consists of a network of plates and struts. Accurate measurement of trabecular thickness is of significant interest, for example, to assess the effectiveness of anabolic (bone forming) agents of patients with osteoporosis. Here, we introduce a new fuzzy distance transform (FDT)-based thickness computation method that obviates binary segmentation and that can effectively deal with images acquired at a voxel size comparable to the typical trabecular bone thickness. The method´s robustness is shown on the basis of μ-CT images of human trabecular bone, resampled at progressively coarser resolution and after application of rotation and addition of noise as a means to simulate the in vivo situation. Reproducibility of the method is demonstrated with μ-CT images by comparing histograms of thickness within and between data sets and with μ-MRI volume data sets of human volunteers imaged repeatedly. Finally, with in vivo μ-MR images from a prior study in rabbits subjected to corticosteroid exposure, it is demonstrated that short-term treatment resulting in trabecular thinning can be quantified with the new method.
Keywords
biomedical MRI; bone; computerised tomography; image resolution; image segmentation; medical image processing; orthopaedics; thickness measurement; /spl mu/-CT images; /spl mu/-MR images; /spl mu/-MRI; anabolic agents; binary segmentation; bone formation; cancellous bone; corticosteroid exposure; fuzzy distance transform; in vivo MRI; joints; limited resolution; osteoporosis; short-term treatment; trabecular bone thickness; trabecular thinning; vertebrae; voxel-sized image; Cancellous bone; Humans; Image segmentation; In vivo; Joints; Magnetic resonance imaging; Noise robustness; Osteoporosis; Spine; Thickness measurement; Algorithms; Animals; Bone Density; Bone and Bones; Dexamethasone; Femur; Fuzzy Logic; Humans; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Phantoms, Imaging; Rabbits; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/TMI.2003.819925
Filename
1256427
Link To Document