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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yanguang Lin Quanzheng Li Haldar, J.P. Leahy, R.M. |
| Copyright Year | 2012 |
| Description | Author affiliation: Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089 (Yanguang Lin; Haldar, J.P.; Leahy, R.M.) || Department of Radiology, Massachusetts General Hospital, Boston, MA 02114 (Quanzheng Li) |
| Abstract | The estimation and analysis of kinetic parameters in dynamic PET is frequently confounded by noise and partial volume effects. We propose a new constrained model of dynamic PET to address these limitations. The proposed formulation incorporates an explicit partial volume model in which each image voxel is represented as a mixture of different pure tissue types with distinct temporal dynamics. A two stage algorithm is proposed to solve the resulting problem. In the first stage, a sparse signal processing method is applied to estimate the rate parameters for the different tissue compartments from the noisy PET time series. In the second stage, tissue fractions and the linear parameters of different time activity curves (TACs) are estimated using a combination of sparsity, spatial-regularity, and fractional mixture constraints. A block coordinate descent (BCD) algorithm is combined with a manifold search to robustly estimate these parameters. The method is evaluated with both simulated and experimental dynamic PET data. |
| Starting Page | 1004 |
| Ending Page | 1007 |
| File Size | 188213 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457718571 |
| ISSN | 19457928 |
| e-ISBN | 9781457718588 |
| DOI | 10.1109/ISBI.2012.6235727 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-02 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Positron emission tomography Kinetic theory Tumors Estimation Biomedical imaging Biological system modeling Niobium Kinetic Parameter Estimation Dynamic PET Mixture Modeling Sparsity |
| Content Type | Text |
| Resource Type | Article |
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