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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kadrmas, D.J. |
| Copyright Year | 1963 |
| Abstract | Iterative algorithms such as MLEM are rapidly becoming the standard for reconstruction in emission computed tomography. However, such algorithms require arbitrary stopping criteria, are sensitive to noise artifacts, and require accelerated implementations that may not work well for all imaging situations. We have investigated several new iterative algorithms with likelihood-based objective functions that use the concepts of statistically adaptive subsetting and spatially adaptive updates. The resulting statistically regulated expectation maximization (StatREM) algorithms are closely related to OSEM with the following exceptions: they apply spatially adaptive regularization and use statistically adaptive subsets to accelerate convergence in a controlled manner. Projection data are processed sequentially and internal statistically adaptive subsets are formed. When accumulated statistical power merits an update, e.g., determined by paired sample t-test, then spatially adaptive updates are applied and the corresponding test statistics and subset accumulations are reset. Reconstruction continues iteratively until no further statistically significant errors remain. The following properties were observed for clinical, phantom and simulated data: (1) user-defined test levels can provide statistically based stopping criteria; (2) recovery of spatial resolution is accelerated in high-count regions while low-count regions are regulated to reduce noise artifacts; (3) notable acceleration is achieved for large, sparse datasets [such as fully 3-D positron emission tomography (PET)]; and (4) resolution and contrast are superior to conventional OSEM at much lower noise levels. Statistically regulated expectation maximization algorithms may potentially provide a new archetype for PET and SPECT reconstruction. |
| Sponsorship | IEEE Nuclear and Plasma Sciences Society Computer Applications in Nuclear and Plasma Sciences (CANPS) Lawrence Berkeley Lab. Lawrence Livermore Nat. Lab. APS College of William and Mary Continuous Electron Beam Accelerator Facility NASA Defence Nuclear Agency Sandia National Laboratories Jet Propulsion Laboratory Brookhaven Nat. Lab. Lawrence Livermore Nat. Lab IEEE/NPPS Radiat. Effects Committee Defence Nuclear Agency/DoD Sandia National Laboratories/DOE Jet Propulsion Laboratory/NASA Phillips Lab./DoD |
| Starting Page | 790 |
| Ending Page | 798 |
| Page Count | 9 |
| File Size | 366142 |
| File Format | |
| ISSN | 00189499 |
| Volume Number | 48 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-06-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image reconstruction Iterative algorithms Positron emission tomography Acceleration Programmable control Adaptive control Testing Spatial resolution Life estimation Noise level |
| Content Type | Text |
| Resource Type | Article |
| Subject | Nuclear and High Energy Physics Electrical and Electronic Engineering Nuclear Energy and Engineering |
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