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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 鍾孝文 | |
| dc.contributor.author | Mei-Lan Chu | en |
| dc.contributor.author | 朱美孏 | zh_TW |
| dc.date.accessioned | 2021-06-16T03:51:05Z | - |
| dc.date.available | 2017-03-13 | |
| dc.date.copyright | 2015-03-13 | |
| dc.date.issued | 2015 | |
| dc.date.submitted | 2015-01-20 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/55201 | - |
| dc.description.abstract | A projection onto convex sets reconstruction of multiplexed sensitivity encoded MRI (POCSMUSE) is developed to reduce motion-related artifacts, including respiration artifacts in abdominal imaging, aliasing and blurring artifacts in interleaved diffusion weighted imaging (DWI). Images with reduced artifacts are reconstructed with an iterative POCS procedure that uses the coil sensitivity profile as a constraint. This method can be applied to data obtained with different pulse sequences and k-space trajectories. In addition, various constraints can be incorporated to stabilize the reconstruction of ill-conditioned matrices. The POCSMUSE technique was applied to abdominal fast spin-echo imaging data, and its effectiveness in respiratory-triggered scans was evaluated. The POCSMUSE method was also applied to reduce aliasing artifacts due to shot-to-shot phase variations in interleaved DWI data corresponding to different k-space trajectories and matrix condition numbers. Furthermore, the POCSMUSE was applied to reduce blurring artifacts originating from large-scale in-plane and through-plane motion of multi-shot DWI data. Experimental results show that the POCSMUSE technique can effectively reduce motion-related artifacts in data obtained with different pulse sequences, k-space trajectories and contrasts. In conclusion, POCSMUSE is a general post-processing algorithm for reduction of motion-related artifacts. It is compatible with different pulse sequences, and can also be used to further reduce residual artifacts in data produced by existing motion artifact reduction methods. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T03:51:05Z (GMT). No. of bitstreams: 1 ntu-104-F97945048-1.pdf: 9049776 bytes, checksum: 83e30bf7f0006afd64aee148e4de9985 (MD5) Previous issue date: 2015 | en |
| dc.description.tableofcontents | Chapter1 Introduction 1
1.1 ThesisOutline....3 Chapter2 POCS-based Multiplexed Sensitivity Encoded MRI 4 2.1 SENSE reconstruction of undersampled data versus MUSE reconstruction of fully sampled data ..................... 4 2.2 Challenges in performing MUSE reconstruction with irregularly sam- pled Cartesian or non-Cartesian k-space data. . . . . . . . . . . . . . 7 2.3 The POCSMUSE reconstruction..................... 8 2.4 MUSE and POCSMUSE reconstruction of fully-sampled data in the presence of significant variations among k-space segments . . . . . . . 11 2.5 Non-Cartesian POCSMUSE ....................... 11 2.6 Evaluation of the POCSMUSE reconstruction . . . . . . . . . . . . . 12 Chapter3 Artifact removal for abdominal T2-weighted FSE imaging 15 3.1 Introduction................................ 15 3.2 Methods.................................. 15 3.2.1 Respiratory-triggered acquisition . . . . . . . . . . . . . . . . 15 3.2.2 A hybrid simulation study .................... 17 3.3 Results................................... 18 3.3.1 Respiratory-triggered acquisition . . . . . . . . . . . . . . . . 18 3.3.2 A hybrid simulation study .................... 18 3.4 Discussion................................. 21 Chapter4 Artifact removal for interleaved EPI based DWI in the presence of minuscule motion 24 4.1 Introduction ................................ 24 4.1.1 Artifacts from phase variations among EPI segments . . . . . 24 4.1.2 MUSE and POCSMUSE with segment-specific phase variation 26 4.1.3 POCSMUSE with additional phase smoothness constraint . . 27 4.2 Methods.................................. 28 4.2.1 Artifact removal for interleaved DWI with well-conditioned reconstruction matrices....................... 29 4.2.2 Artifact removal for interleaved DWI with ill-conditioned reconstruction matrices....................... 30 4.2.3 Artifact removal for brain DWI with spiral k-space trajectory 30 4.3 Results................................... 31 4.3.1 Artifact removal for interleaved DWI with well-conditioned reconstruction matrices....................... 31 4.3.2 Artifact removal for interleaved DWI with ill-conditioned reconstruction matrices....................... 33 4.3.3 Artifact removal for brain DWI with spiral k-space trajectory 35 4.4 Discussion................................. 35 Chapter5 Artifact removal for interleaved EPI based DWI in the presence of 3D motion 40 5.1 Introduction................................ 40 5.1.1 Artifacts from position changes and phase variations among EPI segments ........................... 40 5.1.2 POCSMUSE with minuscule and macroscopic motion correction 41 5.2 Method .................................. 43 5.2.1 Multi-shot DTI in the presence of macroscopic in-plane motion 43 5.2.2 Hybrid simulation of multi-shot DWI data in the presence of macroscopic in-plane and through-plane motion . . . . . . . . . 45 5.3 Results................................... 47 5.3.1 Multi-shot DWI in the presence of macroscopic in-plane motion 47 5.3.2 Hybrid simulation of multi-shot DWI data in the presence of macroscopic in-plane and through-plane motion . . . . . . . . . 48 5.4 Discussion................................. 49 Chapter6 Summary ...52 Bibliography....54 | |
| dc.language.iso | en | |
| dc.title | 基於凸集合投影的多工敏感度編碼技術 | zh_TW |
| dc.title | POCS-Based Reconstruction of Multiplexed Sensitivity Encoded MRI (POCSMUSE): A General Algorithm for Reducing Motion-Related Artifacts | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 103-1 | |
| dc.description.degree | 博士 | |
| dc.contributor.oralexamcommittee | 陳南圭,莊子肇,王俊杰,蔡尚岳,吳文超 | |
| dc.subject.keyword | 核磁共振影像,動作假影,擴散權重影像,凸集合投影,多工敏感度編碼技術, | zh_TW |
| dc.subject.keyword | MRI,motion-related artifacts,diffusion weighted imaging,projection onto convex sets,multiplexed sensitivity encoded MRI, | en |
| dc.relation.page | 59 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2015-01-20 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 生醫電子與資訊學研究所 | zh_TW |
| 顯示於系所單位： | 生醫電子與資訊學研究所 | |
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