Titlebook: Information Processing in Medical Imaging; 21st International C Jerry L. Prince,Dzung L. Pham,Kyle J. Myers Conference proceedings 2009 Spr

巧思

Dynamic Dual-Tracer PET Reconstructionily because the photon measurements from dual tracers are overlapped. In this paper, we propose a simultaneous dynamic dual–tracer reconstruction of tissue activity maps based on guidance from tracer kinetics. The dual–tracer reconstruction problem is formulated in a state–space representation, wher

GLARE

DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weightingridge between the traditional voxel-wise methods and landmark/feature-based methods. In particular, DRAMMS extracts Gabor attributes at each voxel and selects the optimal components, so that they form a highly distinctive morphological signature reflecting the anatomical context around each voxel in

Opponent

Simultaneous Consideration of Spatial Deformation and Tensor Orientation in Diffusion Tensor Image Rt years. In order to compare the tractography obtained from different subjects or the same subject at different timepoints, a key step is to spatially align DTI images. Different from scalar or multi-channel image registration, tensor orientation should be considered in DTI registration. Several DTI

interior

synchronous

Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimationdvantage of the spatial alignment between the neural and the vascular activities, while allowing for substantial differences in their dynamics. Furthermore, with the regional approach, FIRE can be efficiently applied to a dense grid of sources. Inspection of our optimization procedure reveals that F

Mingle

PLUMP

驚奇

coagulation

Optometrist

Regression Models of Atlas Appearance A major shortcoming is that they rely entirely on the training data to extract principal modes of appearance variation and ignore underlying variables (e.g., subject age, gender). This paper introduces an appearance modeling framework based instead on generalized multi-linear regression. The traini