Radiology Key

with labels . If the number of possible labels is finite and small, then we can be interested in classification, i.e. in finding the label to assign to a new…

by specifying neighboring points and tangent vectors, which allows to differentiate smooth functions on the manifold. The topology also impacts the global structure as it determines if there exists a…

apply a transformation defined by parameters . In 2D, similarity transformations have 4 parameters, affine transformations are defined by 6 parameters. The configurations of points defined by and are considered…

Fig. 1 Typical components of registration algorithms The choice of the transformation model is usually dictated by the application at hand and is related to the nature of the deformation…

× defined at a plane Ω. The most general form of the snake model consists of: (1)where is the input image, E int [=w1 |Γ′| + w 2 |Γ″ |] imposes smoothness…

, C. Delorenzo1  , X. Papademetris2   and J. S. Duncan1 (1) Center for Understanding Biology using Imaging Technology (CUBIT), Stony Brook University, Stony Brook, NY 11794, USA (2) Department of Diagnostic Radiology and Biomedical Engineering, Yale…

associated to the m th stimulus type with the canonical HRF , i.e. a composition of two gamma functions which reflects the BOLD signal best in the visual and motor cortices [8]….

Fig. 1 Object extraction methods using contour/surface energy functionals. Only a few representative references are shown for each method Note that graph cut methods for object extraction, e.g. [4, 8,…

and be two images that are geometrically related by the registration transformation with parameters such that voxels p in with intensity a correspond to voxels in with intensity b. Taking…

with the tensor D being the unknown variable and b a value that depends on the acquisition settings. The estimation of the tensors in the volume domain Ω can be…