Control, calibration, and correction of a PET system with cubic millimeter detector spatial resolution
Abstract/Contents
- Abstract
- Positron Emission Tomography (PET) is a functional medical modality that derives its contrast from the selective uptake of a radioactively label compound. There has been considerable interest in designing specialized PET systems to selectively image organs or regions of the body. We are constructing a two-panel system PET system dedicated to locoregional cancer imaging; focusing primarily on the breast as well as the head and neck regions. The system contains a large number of detectors with a spatial resolution of 1mm3. This design presents several challenges which require careful consideration. We describe here the methods used to control the operation of this system, calibrate the output from each of the detectors to provide accurate position, energy, and time information for every interaction, and correct this information in order to provide an accurate image for clinical use. We implement a control system to maintain a constant temperature at the detectors. This control maintains the target temperature within ±0.04C over a period of 8.66 h. We demonstrate an L1-norm minimization method for deriving the precise time of interactions within the detector that is robust both to random coincidences and low statistics cases. The L1-norm method achieves a timing resolution of 15.63 ± 0.02 ns FWHM for this system. We extend a Monte Carlo simulator for PET systems, called Gray, to include radioactive decay and a model of the electronics of PET systems to use in correction of the data from the system. We validate this electronics model by simulating the NEMA NU-2 sensitivity and scatter phantom measurements in a Siemens Biograph mCT system; estimating the peak noise-equivalent count rate within 0.3%. We then adapt several methods in literature to reduce the number of free variables in the sensitivity correction for image reconstruction from 2.4e9, one for each unique detector pair in the system, to 3.3e6; demonstrating a 33.2 % improvement in contrast-to-noise ratio.
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 | 2018; ©2018 |
| Publication date | 2018; 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Freese, David Lee |
|---|---|
| Degree supervisor | Levin, Craig |
| Thesis advisor | Levin, Craig |
| Thesis advisor | Nishimura, Dwight George |
| Thesis advisor | Su, Dong |
| Degree committee member | Nishimura, Dwight George |
| Degree committee member | Su, Dong |
| Associated with | Stanford University, Department of Electrical Engineering. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | David Lee Freese. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by David Lee Freese
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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