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Found 3 swedish dissertations matching the above criteria.

  2. 1. Computational Diffusion MRI: Optimal Gradient Encoding Schemes

    Author : Mohammad Alipoor; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Gradient Encoding Scheme; ADC imaging; Diffusion MRI; D-optimal experiment design; Diffusion Tensor Imaging; Optimal Image acquisition; Second and Fourth Order Tensors.; Diffusion Kurtosis Imaging;

    Abstract : Diffusion-weighted magnetic resonance imaging (dMRI) is a non-invasivestructural imaging technique that provides information about tissue microstructures.Quantitative measures derived from dMRI reflect pathologicaland developmental changes in living tissues such as human brain. READ MORE

  4. 2. Optimisation in strategies in diffusion tensor MR imaging

    Author : Stefan Skare; Karolinska Institutet; Karolinska Institutet; []
    Keywords : Diffusion tensor; magnetic resonance imaging; optimisation; artefacts;

    Abstract : With diffusion MR imaging, the Brownian motion (or self-diffusion) of water molecules is measured. In the corresponding ADC (Apparent Diffusion Coefficient) image, each image element (voxel) represents the average diffusion. In MRI, the diffusion is measured with diffusion gradients along certain directions in space. READ MORE

  5. 3. Distributed Control for Spatio-Temporally Constrained Systems

    Author : Adrian Wiltz; Dimos V. Dimarogonas; Jonas Mårtensson; Matthias Müller; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; distributed model predictive control; control barrier functions; spatio-temporal constraints; constrained control; multiagent systems; distribuerad modell prediktiv styrning; kontrollbarriärfunktion; tillstånds-temporala begränsningar; begränsade system; multiagentsystem;

    Abstract : In this thesis, we develop methods leading towards the distributed control of spatio-temporally constrained systems. Overall, we focus on two different approaches: a model predictive control approach and an approach based on ensuring set-invariance via control barrier functions. READ MORE