LCModel, which is performed on Linux, has been widely used for quantitative analysis of MRS. Its interface, LCMgui, converts MRS data of various formats to RAW file for LCModel analysis automatically. In this work, we had a web-based MRS analysis tool for GE MRS, GE MRS with Phase-Array and GE 2D-MRSI and improve the capability of web-based MRS analysis tool for GE 3D-MRSI, Siemens MRS/MRSI, and Philips MRS/MRSI. Meanwhile, T2 correction has been involved in the absolute quantification with LCModel. With the same echo-time, the different T2 value of each metabolite results in different degree of signal decay. In order to correct and make absolute concentrations more accurate, we exploit a factor to correct effect of different T2. Two groups of MRS data (TE = 35 and 272 ms) have been studied for comparison.

Thesis (M.Sc.) - Carleton University, 2005. / Includes bibliographical references (p. 106-119). Also available in electronic format on the Internet.

<p dir="ltr">Magnetic Resonance Spectroscopic Imaging (MRSI) simultaneously performs the functions of both Magnetic Resonance Imaging (MRI) and Magnetic Resonance Spectroscopy (MRS) in a single instance of data collection, but, in turn, it suffers from poorer voxel resolutions, longer scan durations, and lower Signal-to-Noise Ratios (SNR).</p><p dir="ltr">This work covers three potential contributions to the field of accelerated Magnetic Resonance Spectroscopic Imaging (MRSI) acquisition. In order, these are test-retest reproducibility of reduced Field-of-View Density-Weighted Concentric-Ring-Trajectory (rFOV-DW-CRT) MRSI, accelerated reconstruction through the interpolation of missing points of K-space through a Deep-Neural-Network (DNN), and the exploitation of the interaction between the pulse sequence and the DNN used for image reconstruction to propose a novel K-space acquisition trajectory which is capable of acquiring all of K-space in a single-shot. The latter of the three potentially offers the most in terms of additional factors of acceleration, but, as of writing, it is still in its infancy and will require significantly more resources to be invested before its full potential can be unlocked. Regardless, a proof-of-concept has been included as the final main chapter to demonstrate the plausibility of its practical utility.</p>