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Felix Dietz

Publications and source records attributed to Felix Dietz.

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MR Simulation with Phase Distribution Graphs: Off-Resonant Pulse Response and Slice-Selection

Purpose: Phase Distribution Graphs were introduced as a powerful tool for on-resonant MRI simulations. Herein, we extend the concept beyond the assumptions of hard and on-resonant RF pulses in Phase Distribution Graph simulations, while retaining differentiability across all parameters. The extension into the frequency domain further generalizes the Phase Distribution Graph simulation framework for sequence simulation and optimization. Theory and Methods: Using an effective axis rotation model, the RF operator is generalized to off-resonant rotations, originating from field inhomogeneities, chemical shift, and field gradients. Discretization of the RF pulse shape enables the modeling of the magnetization response to shaped RF pulses and thus slice selection. Results: Including off-resonant pulse response into a PDG based MRI simulation enables the simulation of key MRI features, such as fat suppression, binomial pulses, or Bloch-Siegert shifts. The discretization of RF shapes enables the simulation of their respective frequency response and thus slice selective excitation, refocusing or saturation pulses, including multi-band excitation. In combination with flow, typical inflow artifacts in slice-selective MRI can be simulated. Discussion and Conclusion: Extension for off-resonance removes a major limitation of phase distribution graphs and makes the simulation framework more realistic. As the method is not restricted to specific RF shapes, optimization of RF pulse shapes in amplitude, phase and frequency is now possible in the context of or jointly with specific MR sequences.

physics.med-ph

PalmGazer: Unimanual Eye-hand Menus in Augmented Reality

How can we design the user interfaces for augmented reality (AR) so that we can interact as simple, flexible and expressive as we can with smartphones in one hand? To explore this question, we propose PalmGazer as an interaction concept integrating eye-hand interaction to establish a singlehandedly operable menu system. In particular, PalmGazer is designed to support quick and spontaneous digital commands -- such as to play a music track, check notifications or browse visual media -- through our devised three-way interaction model: hand opening to summon the menu UI, eye-hand input for selection of items, and dragging gesture for navigation. A key aspect is that it remains always-accessible and movable to the user, as the menu supports meaningful hand and head based reference frames. We demonstrate the concept in practice through a prototypical personal UI with application probes, and describe technique designs specifically-tailored to the application UI. A qualitative evaluation highlights the system's design benefits and drawbacks, e.g., that common 2D scroll and selection tasks are simple to operate, but higher degrees of freedom may be reserved for two hands. Our work contributes interaction techniques and design insights to expand AR's uni-manual capabilities.

cs.HC

Revealing the Hidden Effects of Phishing Emails: An Analysis of Eye and Mouse Movements in Email Sorting Tasks

Users are the last line of defense as phishing emails pass filter mechanisms. At the same time, phishing emails are designed so that they are challenging to identify by users. To this end, attackers employ techniques, such as eliciting stress, targeting helpfulness, or exercising authority, due to which users often miss being manipulated out of malicious intent. This work builds on the assumption that manipulation techniques, even if going unnoticed by users, still lead to changes in their behavior. In this work, we present the outcomes of an online study in which we collected gaze and mouse movement data during an email sorting task. Our findings show that phishing emails lead to significant differences across behavioral features but depend on the nature of the email. We discuss how our findings can be leveraged to build security mechanisms protecting users and companies from phishing.

cs.HC