Automatic quantification of changes in bone in serial MR images of joints

Kelvin K. Leung, Mark Holden, Nadeem Saeed, Keith J. Brooks, Jacky B. Buckton, Ann A. Williams, Simon P. Campbell, Kumar Changani, David G. Reid, Yong Zhao, Mike Wilde, Daniel Rueckert, Joseph V. Hajnal, Derek L. G. Hill

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1617-1626
Number of pages10
JournalIeee Transactions on Medical Imaging
Issue number12
Publication statusPublished - Dec 2006


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