PhD Defense of Baran Gözcü
PhD defense of B. Gözcü ©V. Cevher/ 2019 EPFL
On Friday 1st November 2019, Baran Gözcü, a PhD student at LIONS lab, successfully defended his PhD thesis. The thesis, entitled "Data-driven Measurement Designs for Magnetic Resonance Imaging" was supervised by Prof. Volkan Cevher.
On Friday 1st November 2019, Baran Gözcü, a PhD student at LIONS lab, successfully defended his PhD thesis. The thesis, entitled "Data-driven Measurement Designs for Magnetic Resonance Imaging" was supervised by Prof. Volkan Cevher.
Abstract:
Recent years have seen new magnetic resonance imaging (MRI) reconstruction techniques that need less amount of acquired data (i.e., accelerated scans) for reconstructing images. Although much work has been done on the reconstruction side, there has been relatively less work on experimental design, i.e., which parts of the Fourier domain to acquire during the scan, an essential factor that considerably affects the performance of image reconstructions.
Can we systematically use the data acquired during past MRI scans for the design of accelerated scans with a reliable image quality? This problem is the focus of this thesis which proposes a data-driven scan design approach and training procedures which efficiently and effectively learn acquiring only the most relevant information given an acceleration rate constraint. As a result, this boosts the image quality of accelerated scans in various settings such as 2D/3D, single/multi-coil and static/dynamic MRI.