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A main source of problem in human cardiac diffusion tensor magnetic resonance imaging (DT-MRI) is the presence of high noise that buries useful information such as edges, details, and even whole objects. We propose a new enhancement approach based on the combined use of non-stationarity degree (NSD) notion and amoebas algorithm. The method consists of first calculating the NSD at each pixel of the...
Fiber tracking in diffusion tensor magnetic resonance imaging (DT-MRI, or DTI) offers a unique and nondestructive technique to obtain the three-dimensional organization of myocardial fibers. This technique is however sensitive to various parameters. In this paper, we present a methodology to get insight into how fiber tracking results vary with different parameters such as anisotropy threshold. The...
Diffusion tensor magnetic resonance imaging (DT-MRI, or DTI) is a new technique allowing ex-vivo and/or in-vivo investigation of human fibrous tissues. Processing of DT-MRI data appears as a new field for image processing community. This paper presents an interpolation method for the eigenvector fields in human cardiac DT-MRI. The method accounts for inherent relationships between vector components...
We investigated the performance of a new sparse neuroimaging method, i.e., Variation-Based Sparse Cortical Current Density (VB-SCCD) using magnetoencephalography (MEG) data to reconstruct extended cortical sources and their spatial distributions on the cortical surface. We conducted Monte Carlo simulation studies to compare the performance of the VB-SCCD method with different number of cortical sources...
We propose a new fibre tracking algorithm for cardiac DT-MRI that parts with the locally ??greedy?? paradigm intrinsic to conventional tracking algorithms. We formulate the fibre tracking problem as the global problem of computing paths in a Boolean-weighted undirected graph. Each voxel is a vertex and edges connect every pair of neighboring voxels. We solve the underlying optimization task by Metropolis...
We investigate the noise sensitivity in various diffusion tensor MRI acquisition protocols in sixteen human ex vivo hearts. In particular, we compare the accuracy of protocols with various numbers of excitations and diffusion sensitizing directions for estimating the principal diffusion directions in the myocardium. It is observed that noise sensitivity decreases as the number of excitations and the...
Computation of B1 fields is a key issue for determination and correction of intensity nonuniformity in magnetic resonance images. This paper presents a new method for computing transmitted and received B1 fields. Our method combines a modified MRI acquisition protocol and an estimation technique based on the Levenberg-Marquardt algorithm and spatial filtering. It enables accurate estimation of transmitted...
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