Sentence examples for multimodal imaging data from inspiring English sources

These instruments generate massive amounts of multimodal imaging data.

To study the issues arising when multimodal imaging data sets are combined a model data set concerned with induced tumour haemorrhaging was studied.

A current challenge faced at all stages of the acquisition and processing of multimodal imaging data is how to present it in a manner that simply and clearly conveys the information contained within it.

This result provides direct evidence that lexical processes influence lower level phonetic perception, and demonstrates the potential value of combining Granger causality analyses and high spatiotemporal resolution multimodal imaging data to explore the functional architecture of cognition.

Our aim was to make publicly available genotype data for AD and controls in the context of rich multimodal imaging data and comprehensive clinical data that can be investigated by the research community, as well as conducting a preliminary analysis to identify potential genes related to the susceptibility of AD.

This study used a technique known as biological parametric mapping (Casanova et al., 2007), which allows voxelwise analysis of multimodal imaging data.

A study has been completed examining design issues concerning the interpretation of and dissemination of multimodal medical imaging data sets to diverse audiences.

http://pingstudy.ucsd.edu/ Pediatric Imaging, Neurocognition and Genetics (PING) Study: A multisite project that has collected "neurodevelopmental histories, information about mental and emotional functions, multimodal brain imaging data and genotypes for well over 1000 children and adolescents between the ages 3 and 20" [ 7].

Data postprocessing with precise spatial coregistration of multimodal morphologic and functional imaging data as well as quality assurance aspects are still challenging.

Multimodal imaging obtains images by different methods at the same time, thus integrates structural, functional, and molecular information.

The focus is on the simulation of joint information for the verification of stochastic linear models, particularly those used in multimodal data fusion of brain imaging data.