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Multitemporal Volume Registration for the Analysis of Rheumatoid Arthritis Evolution in the Wrist
Roberta Ferretti1, Silvana G Dellepiane1
1DITEN, Università degli Studi di Genova, Via Opera Pia 11a, 16145 Genova, Italy.
International Journal of Biomedical Imaging
|December 5, 2017
Summary
This study introduces a novel method for aligning carpal bones from different MRI scans. The technique accurately tracks subtle bone shape changes, aiding in diagnosing wrist conditions.
Area of Science:
- Medical Imaging
- Orthopedics
- Biomedical Engineering
Background:
- Accurate coregistration of carpal bones is crucial for longitudinal studies of wrist pathologies.
- Existing methods may introduce artifacts or struggle with pathological bone shapes.
Purpose of the Study:
- To develop and validate an automatic segmentation and rigid registration method for carpal bones.
- To enable precise detection of bone shape changes over time without artificial deformation.
Main Methods:
- Automatic segmentation of individual carpal bones.
- Rigid registration based on principal inertial axes and elemental rotations.
- Quantitative evaluation using volumetric comparison on magnetic resonance imaging (MRI) data.
Main Results:
- The method successfully coregistered carpal bones from serial MRI scans.
- Elemental rotations addressed limitations of traditional methods like Euler angles.
- Demonstrated robustness in both healthy and pathological wrist cases.
Conclusions:
- The proposed approach offers a reliable tool for analyzing carpal bone morphology changes.
- Its model-agnostic nature makes it suitable for diverse clinical applications, including disease progression monitoring.
