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University of Western Ontario

1. Hosseini, Zahra. Multi-Channel MR Phase Image Processing for Non-Contrast Tissue Characterization.

Degree: 2018, University of Western Ontario

Magnetic resonance imaging (MRI) enables tissue characterization using the intrinsic tissue properties. By manipulating a number of imaging parameters different image contrasts can be achieved. Multi-echo gradient recalled echo (ME-GRE) enables acquisition of two distinct images, magnitude and phase, in a relatively short time. Phase image, specifically, contains a wealth of information for generation of quantitative maps, with the local tissue susceptibility differences as a source of contrast. GRE imaging is sensitive to field-inhomogeneities. This challenge presents more strongly in multi-channel acquisition, where the coil sensitivity variations impose complications in extracting information from the underlying anatomy. This calls for a phase-sensitive coil-combination approach. While many approaches have been presented to-date, ME-GRE remains an unpopular clinical tool due to the commonly observed susceptibility artifacts in phase and magnitude images. This thesis presents ME-GRE acquisition considerations and post-processing tools for tissue characterization using readily available clinical acquisition protocols. The main contribution of the work presented here is in the proposed post-processing techniques that enable extraction of quantitative maps from these image data. These post-processing techniques are designed, optimized and validated for the first time through the work done in the present dissertation. The proposed approaches demonstrate the benefits of extracting information from each channel in the array of coils prior to combining the images. The proposed techniques were applied in neurological and cardiac imaging. The former allowed for development of a robust approach, which enabled the extraction of tissue susceptibility information. The latter allowed for translation of these techniques to account for region-specific phase biases as well as different chemical environments. Quantitative maps of the brain and multi-parametric quantitative cardiac maps were generated for healthy participants as well as for cohorts of patients with multiple sclerosis and heart failure. The work of this thesis can easily be translated into clinic as it does not change the routine image acquisitions and has a focus on the post-processing workflow. With the techniques developed, non-contrast tissue mapping is made possible, especially benefiting patients with poor renal function.

Subjects/Keywords: tissue characterization; multi-channel imaging; MR phase image; magnetic susceptibility; quantitative maps; heart failure; multiple sclerosis; Biomedical Engineering and Bioengineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hosseini, Z. (2018). Multi-Channel MR Phase Image Processing for Non-Contrast Tissue Characterization. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5213

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hosseini, Zahra. “Multi-Channel MR Phase Image Processing for Non-Contrast Tissue Characterization.” 2018. Thesis, University of Western Ontario. Accessed June 18, 2018. https://ir.lib.uwo.ca/etd/5213.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hosseini, Zahra. “Multi-Channel MR Phase Image Processing for Non-Contrast Tissue Characterization.” 2018. Web. 18 Jun 2018.

Vancouver:

Hosseini Z. Multi-Channel MR Phase Image Processing for Non-Contrast Tissue Characterization. [Internet] [Thesis]. University of Western Ontario; 2018. [cited 2018 Jun 18]. Available from: https://ir.lib.uwo.ca/etd/5213.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hosseini Z. Multi-Channel MR Phase Image Processing for Non-Contrast Tissue Characterization. [Thesis]. University of Western Ontario; 2018. Available from: https://ir.lib.uwo.ca/etd/5213

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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