MaElenaNasonova

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

A General Reconstruction Framework for Constrained Optimisation Problems in Hyperpolarised 13C Metabolic MR Imaging.

Abstract

Magnetic resonance spectroscopic imaging with hyperpolarised 13C agents is a novel technique that examines the cellular metabolic reactions in a minimally invasive fashion. Being acquired under challenging conditions of rapidly decaying signal and limited injected dose of the hyper-polarised substance, reconstructed images exhibit low signal-to-noise ratio (SNR) and artefacts. The goal of this work was to enhance the quality of images by means of iterative reconstruction with included a priori knowledge in a form of additional constraints and to propose a valid extension to the physical model of signal acquisition.


ProjectForm
Title: A General Reconstruction Framework for Constrained Optimisation Problems in Hyperpolarised 13C Metabolic MR Imaging.
Abstract: Magnetic resonance spectroscopic imaging with hyperpolarised 13C agents is a novel technique that examines the cellular metabolic reactions in a minimally invasive fashion. Being acquired under challenging conditions of rapidly decaying signal and limited injected dose of the hyper-polarised substance, reconstructed images exhibit low signal-to-noise ratio (SNR) and artefacts. The goal of this work was to enhance the quality of images by means of iterative reconstruction with included a priori knowledge in a form of additional constraints and to propose a valid extension to the physical model of signal acquisition.
Student: Elena Nasonova
Director: Prof. Nassir Navab
Supervisor: Prof. Dr. Michael Friebe, Prof. Dr. Axel Haase, Advisor: Dipl.-Phys. Markus Durst, Dr. Rolf F. Schulte
Type: Master Thesis
Area: Medical Imaging
Status: finished
Start: 2013/05/01
Finish: 2013/11/01
Thesis (optional): http://campar.in.tum.de/files/thesis/ElenaNasonova-MScThesisEN.pdf
Picture:  


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