Preconditioned alternating projection algorithm for solving the penalized-likelihood SPECT reconstruction problem

Preconditioned alternating projection algorithm for solving the penalized-likelihood SPECT reconstruction problem

Highlights • A novel reconstruction algorithm with total variation regularization is proposed. • The method demonstrates similar performance as an existing efficient algorithm. • The proposed method outperforms a benchmark EM algorithm in most evaluation metrics. • The optimal parameters vs. informa...

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Veröffentlicht in:Physica medica 2017-06, Vol.38, p.23-35
Hauptverfasser: Li, Si, Zhang, Jiahan, Krol, Andrzej, Schmidtlein, C. Ross, Feiglin, David, Xu, Yuesheng
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Fixed-point proximity algorithms
Humans
Image Processing, Computer-Assisted
Monte Carlo Method
Penalized likelihood SPECT reconstruction
Phantoms, Imaging
Piecewise constant phantom
Probability
Radiology
Tomography, Emission-Computed, Single-Photon
Total variation regularization
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Zusammenfassung:Highlights • A novel reconstruction algorithm with total variation regularization is proposed. • The method demonstrates similar performance as an existing efficient algorithm. • The proposed method outperforms a benchmark EM algorithm in most evaluation metrics. • The optimal parameters vs. information density approximately follow power laws.
ISSN:1120-1797
1724-191X
DOI:10.1016/j.ejmp.2017.05.001