Print Email Facebook Twitter Accelerating Diffusion-Weighted Chemical Shift Imaging using Compressed Sensing with Parameter Mapping Title Accelerating Diffusion-Weighted Chemical Shift Imaging using Compressed Sensing with Parameter Mapping Author Van der Kemp, J.W.F. Contributor Remis, R. (mentor) Ronen, I. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Microelectronics Programme Circuits and Systems Group Date 2016-10-13 Abstract Diffusion-weighted chemical shift imaging (DW-CSI) is a recently developed MRI modality that enables radiologists to reveal the diffusion properties of small molecules that act in metabolic reactions in-vivo. In order to extract this diffusion information from a patient, DW-CSI requires approximately one hour of scan time. This extensive scan time makes DW-CSI currently inapplicable for the clinical setting. This thesis describes the closely intertwined implementation of compressed sensing with parameter mapping (CS-PM) in the DW-CSI processing pipeline to accelerate its acquisition. The CS-PM algorithm enables DW-CSI to acquire less measurements (sample under Nyquist) and subsequently reconstruct the missing samples with the use of a custom designed, model-based sparsifying dictionary. As proof of concept, CS-PM was evaluated on the water signal of a non-water-suppressed DW-CSI scan. The results of the integration of CS-PM in the DW-CSI processing pipeline already indicates a feasible acceleration factor of 1.5 (scan time reduction of ca. 20 minutes) along with valuable insight to further improve the performance of DW-CSI in combination with CS-PM. Subject MRIdiffusionchemical shift imagingscan time reductioncompressed sensingparameter mapping To reference this document use: http://resolver.tudelft.nl/uuid:22ef6407-682a-46ce-9393-ddf71286b448 Part of collection Student theses Document type master thesis Rights (c) 2016 Van der Kemp, J.W.F. Files PDF JWFvanderKemp - 2016 - Ac ... Thesis.pdf 5.85 MB Close viewer /islandora/object/uuid:22ef6407-682a-46ce-9393-ddf71286b448/datastream/OBJ/view