Abstract
We describe a system that performs fully automatic analysis of total hip replacement (THR) radiographs using a model-based approach. Previous methods for analysis of this type of radiograph have been manual or semi-automatic and require considerable investment of skilled operators time. Our system works unsupervised and is the first of its type. Image search is carried out using a statistically defined deformable template used as an active shape model (ASM). The ASM, which is trained to model prosthetic, femoral, and pelvic structures within the image, iteratively modifies its pose and shape to fit to the evidence in a given image. We present the results of systematic experiments which show that the system can robustly locate relevant structures in routine post-operative radiographs accurately enough for practical applications. © 1996 IEEE.
| Original language | English |
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| Title of host publication | Proceedings - International Conference on Pattern Recognition|Proc. Int. Conf. Pattern Recognit. |
| Publisher | IEEE |
| Pages | 391-395 |
| Number of pages | 4 |
| Volume | 4 |
| ISBN (Print) | 081867282X, 9780818672828 |
| DOIs | |
| Publication status | Published - 1996 |
| Event | 13th International Conference on Pattern Recognition, ICPR 1996 - Vienna Duration: 1 Jul 1996 → … http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000545 |
Conference
| Conference | 13th International Conference on Pattern Recognition, ICPR 1996 |
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| City | Vienna |
| Period | 1/07/96 → … |
| Internet address |
Keywords
- Peer Reviewed Conference