Abstract
Advanced Signal Processing Methods for Biomedical Imaging
Highlights
We present high-quality original research papers that address specific challenges for the biomedical imaging community and benefit of advanced and emerging methods in signal and image processing required for novel time-varying high-dimensional structural and functional biomedical imaging modalities
Deriche deal with the complicated problem of inferring the microstructure of tissue or fiber bundles from diffusion weighted MRI (DW-MRI). To this extent they propose a modified generalized diffusion tensor imaging (GDTI) approach, where the higher-Order tensor (HOT) representation of the apparent diffusivity coefficient (ADC) is estimated, from the DW-MRI data, in such a way that they provide a closed-form approximation, using Hermite polynomials, to the ensemble average propagator (EAP) that overcomes the computational overload of other EAP estimation methods from GDTI
The EAP describes the probability of the diffusing particles, and, the geometry of the EAP is a direct indicator of the microstructure of the International Journal of Biomedical Imaging underlying tissue or fiber bundles
Summary
Editorial Advanced Signal Processing Methods for Biomedical Imaging Signal and image processing is ubiquitous in modern biomedical imaging, as it provides essential techniques for image construction, enhancement, coding, storage, transmission, analysis, understanding, and visualization from any of an increasing number of different multidimensional sensing modalities.
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