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In magnetic resonance imaging (MRI), the balanced steady-state free precession (bSSFP) pulse sequence has shown to be of great interest, due to its relatively high signal-to-noise ratio in a short scan time. However, images acquired with this pulse sequence suffer from banding artifacts due to off-resonance effects. These artifacts typically appear as black(More)
In this paper we present an algorithm for sequence design with magnitude constraints. We formulate the design problem in a general setting, but also illustrate its relevance to parallel excitation MRI. The formulated non-convex design optimization criterion is minimized locally by means of a cyclic algorithm, consisting of two simple algebraic sub-steps.(More)
This article presents a way of modeling patient response to a pharmacotherapy by means of dynamic models with quantized output. The proposed modeling technique is exemplified by treatment of Parkinson's disease with Duodopa <sup>&#x00AE;</sup>, where the drug is continuously administered via duodenal infusion. Titration of Duodopa <sup>&#x00AE;</sup> is(More)
Estimating the transverse relaxation time (T<sub>2</sub>) from magnitude spin echo images is a common problem in Magnetic Resonance Imaging. The standard approach is to use pixelwise estimates; however these estimates can be quite noisy when only two images are available. By imposing inter-pixel information the estimates can be improved. An optimal(More)
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