Reducing View-sharing artifacts in dynamic Contrast-Enhanced Magnetic Resonance Angiography using Compressed Sensing
نویسندگان
چکیده
Target Audience: Clinicians and researchers working with dynamic Contrast Enhanced MRA (CE-MRA). Purpose: Dynamic Magnetic Resonance Angiography (MRA) has become a widely accepted tool for clinical evaluation of complex vascular hemodynamics. To allow for high spatial and temporal resolution, view-sharing techniques 1,2 are commonly used whereby the k-space center is updated more frequently than the periphery. However view-sharing elongates the long temporal footprint of images, which can lead to temporal and spatial blurring. In this work, we aim to study the temporal and spatial blurring effect of view-sharing on dynamic CE-MRA using phantom and in vivo data and its impact on the assessment of blood vessels. Furthermore we propose to reduce artifacts and improve the accuracy of dynamic CE-MRA by limiting the use of view-sharing and reconstruct under-sampled kspaces with compressed sensing 3–5 (CS).
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Accelerating Magnetic Resonance Imaging through Compressed Sensing Theory in the Direction space-k
Magnetic Resonance Imaging (MRI) is a noninvasive imaging method widely used in medical diagnosis. Data in MRI are obtained line-by-line within the K-space, where there are usually a great number of such lines. For this reason, magnetic resonance imaging is slow. MRI can be accelerated through several methods such as parallel imaging and compressed sensing, where a fraction of the K-space lines...
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