Phantom and clinical evaluation of Block Sequential Regularized Expectation Maximization (BSREM) reconstruction algorithm in 68Ga-PSMA PET-CT studies

Author:

Sadeghi Fatemeh,Sheikhzadeh PeymanORCID,Kasraie Nima,Farzanehfar Saeed,Abbasi Mehrshad,Salehi Yalda,Ay Mohammadreza

Funder

Tehran University of Medical Sciences and Health Services

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Biomedical Engineering,Biophysics,Radiological and Ultrasound Technology,Biotechnology

Reference27 articles.

1. Czernin J, Schelbert H (2004) PET/CT imaging: facts, opinions, hopes, and questions. J Nucl Med 45:1S–3S

2. Messerli M, Stolzmann P, Egger-Sigg M et al (2018) Impact of a bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors. EJNMMI Phys 5:1–13

3. Reynés-Llompart G, Gámez‐Cenzano C, Vercher‐Conejero JL, Sabaté‐Llobera A, Calvo‐Malvar N, Martí‐Climent JM (2018) Phantom, clinical, and texture indices evaluation and optimization of a penalized‐likelihood image reconstruction method (Q. Clear) on a BGO PET/CT scanner. Med Phys 45:3214–3222

4. Lantos J, Mittra ES, Levin CS, Iagaru A (2018) Standard OSEM vs. regularized PET image reconstruction: qualitative and quantitative comparison using phantom data and various clinical radiopharmaceuticals. Am J Nucl Med Mol Imaging 8:110

5. Ross S (2013) Q.clear (GE healthcare white paper). http://www.enmodedesign.com/MotionFree/QClear_White_Paper_DOC1474189REV_3_2014_06.pdf. Accessed 16 Apr 2015

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