TY  - THES
U1  - Master Thesis
A1  - Hilbert, Tom
T1  - Accelerated Quantitative Mapping of Relaxation Times in MRI
N2  - Clinical diagnosis ideally relies on quantitative measures of disease. For a number of diseases, diagnostic guidelines require or at least recommend neuroimaging exams to support the clinical findings. As such, there is also an increasing interest to derive quantitative results from magnetic resonance imaging (MRI) examinations, i.e. images providing quantitative T1, T2, T2* tissue parameters. Quantitative MRI protocols, however, often require prohibitive long acquisition times (> 10 minutes), nor standards have been established to regulate and control MRI-based quantification. This work aims at exploring the technical feasibility to accelerate existing MRI acquisition schemes to enable a -3 minutes clinical imaging protocol of quantitative tissue parameters such as T2 and T2* and at identifying technical factors that are key elements to obtain accurate results. In the first part of this thesis, the signal model of an existing quantitative T2-mapping algorithm is expanded to explore the methodology for a broader use including the application to T2* and its use in the presence of imperfect imaging conditions and system related limitations of the acquisition process. The second part of this thesis is dedicated to optimize the iterative mapping algorithm for a robust clinical application including the integration on a clinical MR platform. This translation of technology is a major step to enable and validate such new methodology in a realistic clinical environment. The robustness and accuracy of the developed and implemented model is investigated by comparing with the "gold standard" information from fully sampled phantom and in-vivo MRI data.
KW  - Entspannung
KW  - Zeit
KW  - Accelerated
KW  - Relaxation
KW  - MRI
Y2  - 2013
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:840-opus-693
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:840-opus-693
ER  -