Titlebook: Biomedical Image Registration; Second International James C. Gee,J. B. Antoine Maintz,Michael W. Vanni Conference proceedings 2003 Springer

假

inchoate

orthodox

Computational Anatomy and Implicit Object Representation: A Level Set Approache proposed. Euler-Lagrange equations are applied and gradient descent is used to solve the corresponding partial differential equations. Moreover, a general framework for linking the level set approach and the infinite dimensional group actions is discussed.

利用

Computerized Atlas-Guided Positioning of Deep Brain Stimulators: A Feasibility Studyare the initial DBS position obtained with this approach and the initial position selected by a neurosurgeon with the final position for eight STN (subthalamic nucleus) cases. Our results show that the automatic method leads to initial positions that are closer to the final positions than the initial positions selected manually.

molest

祖先

Point Similarity Measure Based on Mutual Informationmilarity of individual image points. In this paper we present a point similarity measure derived from the mutual information. In addition to its extreme locality it can also avoid the interpolation artifacts and improve the spatial regularization to better suit the spatial deformation model.

perimenopause

Spatial Information in Entropy-Based Image Registrationed to compute an estimate of the conditional entropy in higher dimensions. The paper includes the theory to motivate the proposed similarity measure. Experimental results indicate that the suggested method can achieve a more robust and accurate registration compared to similarity measures that don’t include spatial information.

小蟲

https://doi.org/10.1007/978-1-349-20466-3and splines (e.g Gaussian filters or thin plate splines), these ones are vectorial, and have parameters that enable them to control the strength of the interaction between coordinates. We show how they can be used for intensity- or landmark-based registration, and finally show how they mix when combining intensity- and landmark-based registration.

cardiovascular

使高興

https://doi.org/10.1007/978-1-349-14497-6values, to the general case of describing the alignment of a population of images simultaneously. Geometric constraints forcing the convergence to an average geometric shape are discussed and results presented on synthetic images and clinical brain image data.