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Full-Text Articles in Biomedical Engineering and Bioengineering
Accelerating Mri Data Acquisition Using Parallel Imaging And Compressed Sensing, Haifeng Wang
Accelerating Mri Data Acquisition Using Parallel Imaging And Compressed Sensing, Haifeng Wang
Theses and Dissertations
Magnetic Resonance Imaging (MRI) scanners are one of important medical instruments, which can achieve more information of soft issues in human body than other medical instruments, such as Ultrasound, Computed Tomography (CT), Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), etc. But MRI's scanning is slow for patience of doctors and patients. In this dissertation, the author proposes some methods of parallel imaging and compressed sensing to accelerate MRI data acquisition. Firstly, a method is proposed to improve the conventional GRAPPA using cross-sampled auto-calibration data. This method use cross-sampled auto-calibration data instead of the conventional parallel-sampled auto-calibration data …
Novel Phantoms And Post-Processing For Diffusion Spectrum Imaging, Vaibhav Juneja
Novel Phantoms And Post-Processing For Diffusion Spectrum Imaging, Vaibhav Juneja
Dissertations & Theses (Open Access)
High Angular Resolution Diffusion Imaging (HARDI) techniques, including Diffusion Spectrum Imaging (DSI), have been proposed to resolve crossing and other complex fiber architecture in the human brain white matter. In these methods, directional information of diffusion is inferred from the peaks in the orientation distribution function (ODF). Extensive studies using histology on macaque brain, cat cerebellum, rat hippocampus and optic tracts, and bovine tongue are qualitatively in agreement with the DSI-derived ODFs and tractography. However, there are only two studies in the literature which validated the DSI results using physical phantoms and both these studies were not performed on a …
Controlling Dimensionality In A Systems Approach To Dynamic Multimodal Functional Brain Imaging, Srinivas Laxminarayan, Manu Ben Jonny, Solomon Diamond, Dana Brooks, Gilead Tadmore, Eric Miller, David Boas
Controlling Dimensionality In A Systems Approach To Dynamic Multimodal Functional Brain Imaging, Srinivas Laxminarayan, Manu Ben Jonny, Solomon Diamond, Dana Brooks, Gilead Tadmore, Eric Miller, David Boas
Dana Brooks
The complementary spatial, temporal and specificity advantages of MRI, EEG, MEG, PET and DOT for functional brain imaging motivate interest in multimodal functional brain imaging. State-variable dynamical systems modeling of neural activity and its relation to local hemodynamics further coupled with autonomic physiology offers enhanced spatiotemporal resolution and insight into physiological signals and mechanisms. However, such a model also implies an explosion of state dimension. We discuss strategies for controlling this high dimensionality based on subspace approaches applied to the observed data and the model structure, and also describe some implications for understanding human brain function.