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» Quantitative abdominal fat estimation using MRI
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MICCAI
2005
Springer
14 years 6 months ago
Parametric Response Surface Models for Analysis of Multi-site fMRI Data
Analyses of fMRI brain data are often based on statistical tests applied to each voxel or use summary statistics within a region of interest (such as mean or peak activation). Thes...
Seyoung Kim, Padhraic Smyth, Hal S. Stern, Jessica...
MICCAI
2005
Springer
14 years 6 months ago
3D Curve Inference for Diffusion MRI Regularization
Abstract. We develop a differential geometric framework for regularizing diffusion MRI data. The key idea is to model white matter fibers as 3D space curves and to then extend Pare...
Peter Savadjiev, Jennifer S. W. Campbell, G. Bruce...
MICCAI
2007
Springer
14 years 6 months ago
Improving Temporal Fidelity in k-t  BLAST MRI Reconstruction
Studies of myocardial motion using magnetic resonance imaging usually require multiple breath holds and several methods have been proposed in order to reduce the scan time. Rapid i...
Andreas Sigfridsson, Mats T. Andersson, Lars Wigst...
MICCAI
2006
Springer
14 years 6 months ago
Rician Noise Removal in Diffusion Tensor MRI
Rician noise introduces a bias into MRI measurements that can have a significant impact on the shapes and orientations of tensors in diffusion tensor magnetic resonance images. Thi...
Saurav Basu, P. Thomas Fletcher, Ross T. Whitaker
SEDE
2008
13 years 6 months ago
Improving Fuzzy Algorithms for Automatic Magnetic Resonance Image Segmentation
: In this paper, we present reliable algorithms for fuzzy k-means and C-means that could improve MRI segmentation. Since the k-means or FCM method aims to minimize the sum of squar...
Ennumeri A. Zanaty, Sultan Aljahdali, Narayan C. D...