Petcoil : a second-generation RF-penetrable TOF-PET insert for simultaneous brain PET/MRI
Abstract/Contents
- Abstract
- Simultaneous positron emission tomography/magnetic resonance imaging (PET/MRI) has shown promise in acquiring complementary multiparametric information of diseases. However, designing these hybrid imaging systems is challenging due to the propensity for mutual interference between the PET and MRI sub-systems. In addition, the current high cost of permanently-integrated PET/MRI systems limits their long-term development and deployment, as well as patient accessibility. To overcome these limitations, we explored a brain-dedicated PET insert for an existing MRI system to achieve simultaneous PET/MRI. Because of its brain-dedicated design, this insert also provides superior spatial resolution and sensitivity compared to whole-body scanners. The second-generation prototype builds upon the success of the first-generation prototype, which demonstrated radio-frequency (RF)-penetrability and MR-compatibility. The new design includes additional features such as a longer axial field of view, time-of-flight (TOF) functionality, and improved portability, resulting in improved PET performance but presenting greater technical challenges for MR-compatibility. This thesis presents the development of the second-generation brain-dedicated PET insert for simultaneous PET/MRI. Our objective is to achieve high levels of both PET performance and MR-compatibility. The detailed design, architecture, experiment setup, results and analysis of the second-generation brain-dedicated PET insert are presented, highlighting the progress towards realizing a cost-efficient and effective simultaneous PET/MRI system for neurological imaging.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Dong, Qian |
|---|---|
| Degree supervisor | Levin, Craig |
| Thesis advisor | Levin, Craig |
| Thesis advisor | Nishimura, Dwight George |
| Thesis advisor | Rivas-Davila, Juan |
| Degree committee member | Nishimura, Dwight George |
| Degree committee member | Rivas-Davila, Juan |
| Associated with | Stanford University, School of Engineering |
| Associated with | Stanford University, Department of Electrical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Qian Dong. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/kk089jt8094 |
Access conditions
- Copyright
- © 2023 by Qian Dong
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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