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» Analysis of Functional Magnetic Resonance Imaging in Python
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CVPR
2011
IEEE
12 years 11 months ago
Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
Bernard Ng, Rafeef Abugharbieh
IPPS
2006
IEEE
14 years 1 months ago
Accelerating DTI tractography using FPGAs
Diffusion Tensor Imaging (DTI) tractography in Magnetic Resonance Imaging (MRI) is a computationally intensive procedure, requiring on the order of tens of minutes to complete tr...
Kwatra Kwatra, Viktor K. Prasanna, Mitali Singh
CGF
2008
203views more  CGF 2008»
13 years 7 months ago
Virtual Klingler Dissection: Putting Fibers into Context
Fiber tracking is a standard tool to estimate the course of major white matter tracts from diffusion tensor magnetic resonance imaging (DT-MRI) data. In this work, we aim at suppo...
Thomas Schultz, Natascha Sauber, Alfred Anwander, ...
IPMI
2005
Springer
14 years 8 months ago
Spherical Navigator Registration Using Harmonic Analysis for Prospective Motion Correction
Spherical navigators are an attractive approach to motion compensation in Magnetic Resonance Imaging. Because they can be acquired quickly, spherical navigators have the potential ...
Christopher L. Wyatt, Narter Ari, Robert A. Kraft
MICCAI
2007
Springer
14 years 8 months ago
Quantification of Measurement Error in DTI: Theoretical Predictions and Validation
The presence of Rician noise in magnetic resonance imaging (MRI) introduces systematic errors in diffusion tensor imaging (DTI) measurements. This paper evaluates gradient directio...
Casey Goodlett, P. Thomas Fletcher, Weili Lin, Gui...