DocumentCode :
837446
Title :
Automatic Quantification of Changes in Bone in Serial MR Images of Joints
Author :
Leung, Kelvin K. ; Holden, Mark ; Saeed, Nadeem ; Brooks, Keith J. ; Buckton, Jacky B. ; Williams, Ann A. ; Campbell, Simon P. ; Changani, Kumar ; Reid, David G. ; Zhao, Yong ; Wilde, Mike ; Rueckert, Daniel ; Hajnal, Joseph V. ; Hill, Derek L G
Author_Institution :
Univ. Coll. London
Volume :
25
Issue :
12
fYear :
2006
Firstpage :
1617
Lastpage :
1626
Abstract :
Recent innovations in drug therapies have made it highly desirable to obtain sensitive biomarkers of disease progression that can be used to quantify the performance of candidate disease modifying drugs. In order to measure potential image-based biomarkers of disease progression in an experimental model of rheumatoid arthritis (RA), we present two different methods to automatically quantify changes in a bone in in-vivo serial magnetic resonance (MR) images from the model. Both methods are based on rigid and nonrigid image registration to perform the analysis. The first method uses segmentation propagation to delineate a bone from the serial MR images giving a global measure of temporal changes in bone volume. The second method uses rigid body registration to determine intensity change within a bone, and then maps these into a reference coordinate system using nonrigid registration. This gives a local measure of temporal changes in bone lesion volume. We detected significant temporal changes in local bone lesion volume in five out of eight identified candidate bone lesion regions, and significant difference in local bone lesion volume between male and female subjects in three out of eight candidate bone lesion regions. But the global bone volume was found to be fluctuating over time. Finally, we compare our findings with histology of the subjects and the manual segmentation of bone lesions
Keywords :
biomedical MRI; bone; diseases; image registration; image segmentation; medical image processing; biomarkers; bone lesion volume intensity change; disease progression; drug therapies; global bone volume; histology; in-vivo serial magnetic resonance images; joints; nonrigid image registration; rheumatoid arthritis; rigid image registration; segmentation propagation; serial bone MR images; temporal bone volume changes; Arthritis; Biomarkers; Bone diseases; Drugs; Joints; Lesions; Magnetic resonance; Medical treatment; Technological innovation; Volume measurement; Histology; image analysis; magnetic resonance imaging (MRI); rheumatoid arthritis (RA);
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2006.884216
Filename :
4016168
Link To Document :
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