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Accelerated Imaging Using Partial Fourier Compressed Sensing Reconstruction
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chou, Chia-Chu |
| Copyright Year | 2016 |
| Abstract | Title of Dissertation: ACCELERATED IMAGING USING PARTIAL FOURIER COMPRESSED SENSING RECONSTRUCTION Chia-Chu Chou, Doctor of Philosophy, 2016 Dissertation directed by: Behtash Babadi, Department of Electrical and Computer Engineering Accelerated imaging is an active research area in medical imaging. The most intuitive way of image acceleration is to reconstruct images from only a subset of the whole raw data space so that the acquisition time can be shortened. This concept has been formalized in recent years and is known as Compressed Sensing (CS). In this dissertation, we develop a new image reconstruction method, Partial Fourier Compressed Sensing (PFCS), which combines the advantages of partial Fourier domain acquisition and compressed sensing techniques. Then, we explore its application on two imaging modalities. First, we apply PFCS to Electron Paramagnetic Resonance Imaging (EPRI) reconstruction for the purpose of imaging the cycling hypoxia phenomenon. We begin with validating PFCS with the prevailing medical acceleration techniques using CS. Then, we further explore its capability of imaging the oxygen distribution in the tumor tissue. Our results show that PFCS is able to accelerate the imaging process by at least 4 times with minimal loss of resolution in comparison to conventional CS. Further, the oxygen map given by PFCS precisely captures the oxygen change inside the tumor tissue. In the second part, we apply PFCS to 3D diffusion tensor image (DTI) acquisition. We develop a new sampling strategy tailored for diffusion weighted imaging and use the PFCS algorithm for image reconstruction. The results show that PFCS can reconstruct the accurate color fractional anisotropy (FA) map using only 30% of the k-space data. Moreover, PFCS can be further combined with Echo-Planar Imaging (EPI) to achieve an even faster acquisition speed. ACCELERATED IMAGING USING PARTIAL FOURIER COMPRESSED SENSING RECONSTRUCTION |
| File Format | PDF HTM / HTML |
| DOI | 10.13016/M2986G |
| Alternate Webpage(s) | https://drum.lib.umd.edu/bitstream/handle/1903/19296/Chou_umd_0117E_17790.pdf?isAllowed=y&sequence=1 |
| Alternate Webpage(s) | https://doi.org/10.13016/M2986G |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
