Abstract
We present a method for corresponding and combining cartilage thickness readings from a population of patients using the underlying bone structure as a reference. Knee joint femoral bone and cartilage surfaces are constructed from a set of parallel slice segmentations of MR scans. Correspondence points across a population of bone surfaces are defined and refined by minimising an objective function based on the Minimum Description Length of the resulting statistical shape model. The optimised bone model defines a set of corresponding locations from which 3D measurements of the cartilage thickness can be taken and combined for a population of patients. Results are presented for a small group of patients demonstrating the feasibility and potential of the approach as a means of detecting sub-millimetre cartilage thickness changes due to disease progression.
| Original language | English |
|---|---|
| Journal | Inf Process Med Imaging |
| Volume | 18 |
| Publication status | Published - Jul 2003 |
Keywords
- Algorithms
- diagnosis: Arthritis
- pathology: Cartilage, Articular
- Computer Simulation
- Feasibility Studies
- pathology: Femur
- Humans
- methods: Image Enhancement
- methods: Image Interpretation, Computer-Assisted
- methods: Imaging, Three-Dimensional
- pathology: Knee Joint
- Magnetic Resonance Imaging
- Models, Biological
- Models, Statistical
- Pattern Recognition, Automated
- Subtraction Technique