Medical image registration based on random line sampling
One of the key aspects in 3D-image registration is the computation of the joint intensity histogram. We propose a new approach to compute this histogram using uniformly distributed random lines to sample stochastically the overlapping volume between two 3D-images. The intensity values are captured f...
| Authors: | ; ; ; |
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| Format: | Article |
| Publication date: | 2005 |
| Country: | España |
| Institution: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repository: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10256/3053 |
| Online Access: | http://hdl.handle.net/10256/3053 |
| Access Level: | Open access |
| Keyword: | Imatgeria mèdica -- Processament Processos estocàstics Imatgeria tridimensional en medicina Imaging systems in medicine Stochastic processes Three-dimensional imaging in medicine |
| Summary: | One of the key aspects in 3D-image registration is the computation of the joint intensity histogram. We propose a new approach to compute this histogram using uniformly distributed random lines to sample stochastically the overlapping volume between two 3D-images. The intensity values are captured from the lines at evenly spaced positions, taking an initial random offset different for each line. This method provides us with an accurate, robust and fast mutual information-based registration. The interpolation effects are drastically reduced, due to the stochastic nature of the line generation, and the alignment process is also accelerated. The results obtained show a better performance of the introduced method than the classic computation of the joint histogram |
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