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In this paper, a novel lossless compression method for volumetric medical datasets based on 3D adaptive prediction is presented. While almost all existing methods are based on a three-dimensional wavelet transform, this method, referred to as LSE-3D, evaluates the performance of an algorithm that operates on a least-square prediction basis. This leads to a different method with approximately similar...
Estimating white matter ber pathways from a diffusion tensor MRI dataset has many important applications in medical research. Even after the definition of white matter ROIs, the precise selection of appropriate fibers of interest for further analysis in population studies is often a time consuming and error prone task. Tractography segmentation methods based on pairwise distances between fibers are...
Discontinuation of mechanical ventilation is a challenging task that involves a number of subtle clinical issues. The gradual removal of the respiratory support (referred to as weaning) should be performed as soon as autonomous respiration can be sustained. However, the prediction rate of successful extubation is still below 25% based on previous studies. Construction of an automatic system that provides...
In this paper a new fiber tracking algorithm to be used with diffusion tensor fields acquired via magnetic resonance imaging is developed. The research effort in tracking fibers of nervous cells in the human brain affords many benefits to the medical community. The proposed method is an improvement over a previously developed algorithm that uses both geometrical and probabilistic criteria. The new...
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