Files in this item

FilesDescriptionFormat

application/pdf

application/pdfGUO-THESIS-2018.pdf (2MB)Restricted Access
(no description provided)PDF

Description

Title:Simultaneous fMRI and metabolic imaging of the brain using spice
Author(s):Guo, Rong
Advisor(s):Liang, Zhi-Pei
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):fMRI, metabolic imaging
SPICE
sparse sampling
subspace modeling
partial separability
Abstract:In this thesis, we propose a novel approach to achieve simultaneous acquisition of high resolution MRSI and fMRI in a fast scan. The proposed acquisition scheme adds an EVI-based sequence module into a subspace-based imaging technique called SPICE (SPectroscopic Imaging by exploiting spatiospectral CorrElation). With the features of ultrashort TE/short TR, no water and lipid suppression, extended k-space coverage by prolonged EPSI readout and highly sparse sampling, the data acquisition captures both the spatiospectral information of brain metabolites and the dynamic information of brain functional activation. The data processing and reconstruction are based on the subspace modeling and involve pre-trained basis functions and spatial prior information. Moreover, the complementary information between fMRI and MRSI is utilized to further improve the quality of both fMRI and metabolic imaging. The in vivo experimental results demonstrate that the proposed method can achieve whole brain covered, simultaneous fMRI at spatial resolution of 3.0 × 3.0 × 1.8 mm, temporal resolution 3 seconds, along with metabolic imaging at nominal spatial resolution of 1.9 × 2.3 × 3.0 mm in a single 6-minute scan. The high-quality metabolic maps, spatially resolved spectra, resting-state functional networks and task time courses corresponding to the task events can all be obtained in the in vivo scans. This technique, when fully developed, will become a powerful tool to study the brain metabolism and function activities.
Issue Date:2018-11-20
Type:Text
URI:http://hdl.handle.net/2142/102916
Rights Information:Copyright 2018 Rong Guo
Date Available in IDEALS:2019-02-08
Date Deposited:2018-12


This item appears in the following Collection(s)

Item Statistics