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Items: 1 to 20 of 106


Optimization, evaluation, and comparison of standard algorithms for image reconstruction with the VIP-PET.

Mikhaylova E, Kolstein M, De Lorenzo G, Chmeissani M.

J Instrum. 2014 Jul;9:C07004.


Evaluation of Origin Ensemble algorithm for image reconstruction for pixelated solid-state detectors with large number of channels.

Kolstein M, De Lorenzo G, Mikhaylova E, Chmeissani M, Ariño G, Calderón Y, Ozsahin I, Uzun D.

J Instrum. 2013 Apr 29;8. pii: P04030.


Effects of image reconstruction algorithm on neurotransmission PET studies in humans: comparison between filtered backprojection and ordered subsets expectation maximization.

Morimoto T, Ito H, Takano A, Ikoma Y, Seki C, Okauchi T, Tanimoto K, Ando A, Shiraishi T, Yamaya T, Suhara T.

Ann Nucl Med. 2006 Apr;20(3):237-43.


Evaluating image reconstruction methods for tumor detection in 3-dimensional whole-body PET oncology imaging.

Lartizien C, Kinahan PE, Swensson R, Comtat C, Lin M, Villemagne V, Trébossen R.

J Nucl Med. 2003 Feb;44(2):276-90.


The SRT reconstruction algorithm for semiquantification in PET imaging.

Kastis GA, Gaitanis A, Samartzis AP, Fokas AS.

Med Phys. 2015 Oct;42(10):5970-82. doi: 10.1118/1.4931409.


Quantitative accuracy of MAP reconstruction for dynamic PET imaging in small animals.

Cheng JC, Shoghi K, Laforest R.

Med Phys. 2012 Feb;39(2):1029-41. doi: 10.1118/1.3678489.


Optimization of Image Reconstruction for 90Y Selective Internal Radiotherapy on a Lutetium Yttrium Orthosilicate PET/CT System Using a Bayesian Penalized Likelihood Reconstruction Algorithm.

Rowley LM, Bradley KM, Boardman P, Hallam A, McGowan DR.

J Nucl Med. 2017 Apr;58(4):658-664. doi: 10.2967/jnumed.116.176552. Epub 2016 Sep 29.


Phantom and Clinical Evaluation of the Bayesian Penalized Likelihood Reconstruction Algorithm Q.Clear on an LYSO PET/CT System.

Teoh EJ, McGowan DR, Macpherson RE, Bradley KM, Gleeson FV.

J Nucl Med. 2015 Sep;56(9):1447-52. doi: 10.2967/jnumed.115.159301. Epub 2015 Jul 9.


Noise reduction in oncology FDG PET images by iterative reconstruction: a quantitative assessment.

Riddell C, Carson RE, Carrasquillo JA, Libutti SK, Danforth DN, Whatley M, Bacharach SL.

J Nucl Med. 2001 Sep;42(9):1316-23.


[Quantitative evaluation of block-iterative reconstruction image in PET: comparison of the dynamic RAMLA algorithm and OSEM algorithm].

Matsumoto K, Kitamura K, Shimizu K, Murase K.

Nihon Hoshasen Gijutsu Gakkai Zasshi. 2007 Oct 20;63(10):1138-44. Japanese.


Reliability of predicting image signal-to-noise ratio using noise equivalent count rate in PET imaging.

Chang T, Chang G, Clark JW, Diab RH, Rohren E, Mawlawi OR.

Med Phys. 2012 Oct;39(10):5891-900. doi: 10.1118/1.4750053.


Using an external gating signal to estimate noise in PET with an emphasis on tracer avid tumors.

Schmidtlein CR, Beattie BJ, Bailey DL, Akhurst TJ, Wang W, Gönen M, Kirov AS, Humm JL.

Phys Med Biol. 2010 Oct 21;55(20):6299-326. doi: 10.1088/0031-9155/55/20/016. Epub 2010 Oct 6.


Investigating the limits of PET/CT imaging at very low true count rates and high random fractions in ion-beam therapy monitoring.

Kurz C, Bauer J, Conti M, Guérin L, Eriksson L, Parodi K.

Med Phys. 2015 Jul;42(7):3979-91. doi: 10.1118/1.4921995.


Noise correlation in PET, CT, SPECT and PET/CT data evaluated using autocorrelation function: a phantom study on data, reconstructed using FBP and OSEM.

Razifar P, Sandström M, Schnieder H, Långström B, Maripuu E, Bengtsson E, Bergström M.

BMC Med Imaging. 2005 Aug 25;5:5.


Performance measurement of PSF modeling reconstruction (True X) on Siemens Biograph TruePoint TrueV PET/CT.

Lee YS, Kim JS, Kim KM, Kang JH, Lim SM, Kim HJ.

Ann Nucl Med. 2014 May;28(4):340-8. doi: 10.1007/s12149-014-0815-z. Epub 2014 Feb 7.


Resolution recovery for Compton camera using origin ensemble algorithm.

Andreyev A, Celler A, Ozsahin I, Sitek A.

Med Phys. 2016 Aug;43(8):4866. doi: 10.1118/1.4959551.


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