- Advanced MRI Techniques and Applications
- NMR spectroscopy and applications
- Ultrasound Imaging and Elastography
- Advanced Neuroimaging Techniques and Applications
- Fault Detection and Control Systems
- Medical Imaging Techniques and Applications
- Control Systems and Identification
- Sparse and Compressive Sensing Techniques
- Advanced X-ray Imaging Techniques
- Photoacoustic and Ultrasonic Imaging
- Cardiovascular Function and Risk Factors
- Dental Radiography and Imaging
- Cardiac Imaging and Diagnostics
- Blind Source Separation Techniques
- Image and Signal Denoising Methods
- Clinical practice guidelines implementation
- Neurological disorders and treatments
- MRI in cancer diagnosis
- Wind and Air Flow Studies
- Dental Research and COVID-19
- Ferroelectric and Negative Capacitance Devices
- Electronic Health Records Systems
- AI-based Problem Solving and Planning
- Building Energy and Comfort Optimization
- Advanced NMR Techniques and Applications
Uppsala University
2010-2018
Luleå University of Technology
2015
Informa (Sweden)
2014
Purpose The balanced steady‐state free precession (bSSFP) pulse sequence has shown to be of great interest due its high signal‐to‐noise ratio efficiency. However, bSSFP images often suffer from banding artifacts off‐resonance effects, which we aim minimize in this article. Methods We present a general and fast two‐step algorithm for 1) estimating the unknowns signal model multiple phase‐cycled acquisitions, 2) reconstructing band‐free images. first step, linearization estimation (LORE),...
Purpose Models based on a sum of damped exponentials occur in many applications, particularly multicomponent T 2 relaxometry. The problem estimating the relaxation parameters and corresponding amplitudes is known to be difficult, especially as number components increases. In this article, commonly used non‐negative least squares spectrum approach compared recently published estimation algorithm abbreviated Exponential Analysis via System Identification using Steiglitz–McBride. Methods two...
In quantitative magnetic resonance mapping, the variable flip angle (VFA) steady state spoiled gradient recalled echo (SPGR) imaging technique is popular as it provides a series of high resolution weighted images in clinically feasible time. Fast, linear methods that estimate maps from these have been proposed, such DESPOT1 and iterative re-weighted least squares. More accurate, non-linear squares (NLLS) estimators are play, but generally much slower require careful initialization. this...
This article presents a web-based game functionally imitating part of the cognitive behavior living organism. is prototype implementation an artificial online architecture based on usage distributed data representations and Vector Symbolic Architectures. The demonstrates feasibility creating lightweight architecture, which capable performing rather complex tasks. functionality implemented in about 100 lines code requires few tens kilobytes memory for its operation, make concept suitable...
In this paper we present an algorithm for sequence design with magnitude constraints. We formulate the problem in a general setting, but also illustrate its relevance to parallel excitation MRI. The formulated non-convex optimization criterion is minimized locally by means of cyclic algorithm, consisting two simple algebraic sub-steps. Since truly minimizes criterion, obtained designs are guaranteed improve upon estimates provided previous method, which based on heuristic principle Iterative...
Magnetic Resonance Imaging of tissues with both fat and water resonances allows for absolute temperature mapping through parametric modeling. The resonance is used as a reference to determine the frequency which linearly related temperature. goal this paper assess whether or not based feasible in tissue. This done by examining identifiability conditions analyzing obtainable performance terms Cramér-Rao Bound estimates. We develop model including multiple peaks, since even small can be...
This article presents a way of modeling patient response to pharmacotherapy by means dynamic models with quantized output. The proposed technique is exemplified treatment Parkinson's disease Duodopa <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> , where the drug continuously administered via duodenal infusion. Titration currently performed manually nurse judging patient's motor symptoms on scale and adjusting flow provided portable...