May 4, 2018
Lopata Hall, Room 101
"Real-Time Low-Field Cardiac MRI Using an Integrated MRI-Guided"
Adviser: Mark Anastasio
The efficacy of stereotactic body radiation therapy (SBRT) cardiac radiosurgery in resolving cardiac arrhythmias was recently reported from a small clinical trial (NCT02919618). However, real-time tracking of the cardiac lesion is challenging using conventional cone-beam CT guided radiotherapy. MRI-guided radiotherapy (MRIgRT) systems integrate real-time MRI for lesion tracking with radiation therapy and can provide excellent cardiac tissue image quality at high frame rates. Real-time cardiac MRI using sparsely-sampled radial acquisitions is demonstrated with iterative reconstruction methods at low-field (0.35 T). The performance goal is to image the heart and track the lesion at 30 Hz with 2.5 mm in-plane resolution.
"Preference Elicitation for Distributed Constraint Optimization Problems"
Adviser: William Yeoh
Distributed Constraint Optimization Problems (DCOPs) offer a powerful approach for the description and resolution of cooperative multi-agent problems. In this model, a group of agents coordinates their actions to optimize a global objective function, taking into account their preferences or constraints. A core limitation of this model is the assumption that the preferences of all agents or the costs of all constraints are specified a priori. Unfortunately, this assumption does not hold in a number of application domains where preferences or constraints must be elicited from the users. One of such domains is the Smart Home Device Scheduling (SHDS) problem, which is motivated by the aforementioned limitation. The goal of this line of research is to develop general models for preference elicitation in DCOPs, propose several heuristics to elicit preferences in DCOPs, and empirically evaluate the effect of these heuristics on different real-world and synthetic benchmarks such as SHDS and random binary graphs.