Literature DB >> 27688476

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

Lisa M Rowley1, Kevin M Bradley2, Philip Boardman2, Aida Hallam3, Daniel R McGowan3,4.   

Abstract

Imaging on a γ-camera with 90Y after selective internal radiotherapy (SIRT) may allow for verification of treatment delivery but suffers relatively poor spatial resolution and imprecise dosimetry calculation. 90Y PET/CT imaging is possible on 3-dimensional, time-of-flight machines; however, images are usually poor because of low count statistics and noise. A new PET reconstruction software using a Bayesian penalized likelihood (BPL) reconstruction algorithm (termed Q.Clear) was investigated using phantom and patient scans to optimize the reconstruction for post-SIRT imaging and clarify whether BPL leads to an improvement in clinical image quality using 90Y.
Methods: Phantom studies over an activity range of 0.5-4.2 GBq were performed to assess the contrast recovery, background variability, and contrast-to-noise ratio for a range of BPL and ordered-subset expectation maximization (OSEM) reconstructions on a PET/CT scanner. Patient images after SIRT were reconstructed using the same parameters and were scored and ranked on the basis of image quality, as assessed by visual evaluation, with the corresponding SPECT/CT Bremsstrahlung images by 2 experienced radiologists.
Results: Contrast-to-noise ratio was significantly better in BPL reconstructions when compared with OSEM in phantom studies. The patient-derived BPL and matching Bremsstrahlung images scored higher than OSEM reconstructions when scored by radiologists. BPL with a β value of 4,000 was ranked the highest of all images. Deadtime was apparent in the system above a total phantom activity of 3.3 GBq.
Conclusion: BPL with a β value of 4,000 is the optimal image reconstruction in PET/CT for confident radiologic reading when compared with other reconstruction parameters for 90Y imaging after SIRT imaging. Activity in the field of view should be below 3.3 GBq at the time of PET imaging to avoid deadtime losses for this scanner.
© 2017 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  Bayesian penalized likelihood; Q.Clear; image reconstruction; positron emission tomography

Mesh:

Substances:

Year:  2016        PMID: 27688476     DOI: 10.2967/jnumed.116.176552

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  14 in total

1.  Standard OSEM vs. regularized PET image reconstruction: qualitative and quantitative comparison using phantom data and various clinical radiopharmaceuticals.

Authors:  Judit Lantos; Erik S Mittra; Craig S Levin; Andrei Iagaru
Journal:  Am J Nucl Med Mol Imaging       Date:  2018-04-25

2.  Quantitative and Qualitative Improvement of Low-Count [68Ga]Citrate and [90Y]Microspheres PET Image Reconstructions Using Block Sequential Regularized Expectation Maximization Algorithm.

Authors:  Youngho Seo; Mohammad Mehdi Khalighi; Kristen A Wangerin; Timothy W Deller; Yung-Hua Wang; Salma Jivan; Maureen P Kohi; Rahul Aggarwal; Robert R Flavell; Spencer C Behr; Michael J Evans
Journal:  Mol Imaging Biol       Date:  2020-02       Impact factor: 3.488

3.  How Do the More Recent Reconstruction Algorithms Affect the Interpretation Criteria of PET/CT Images?

Authors:  Antonella Matti; Giacomo Maria Lima; Cinzia Pettinato; Francesca Pietrobon; Felice Martinelli; Stefano Fanti
Journal:  Nucl Med Mol Imaging       Date:  2019-05-01

4.  Phantom and clinical evaluation of the effect of full Monte Carlo collimator modelling in post-SIRT yttrium-90 Bremsstrahlung SPECT imaging.

Authors:  Charlotte A Porter; Kevin M Bradley; Eero T Hippeläinen; Matthew D Walker; Daniel R McGowan
Journal:  EJNMMI Res       Date:  2018-01-22       Impact factor: 3.138

Review 5.  Quantification, improvement, and harmonization of small lesion detection with state-of-the-art PET.

Authors:  Charlotte S van der Vos; Daniëlle Koopman; Sjoerd Rijnsdorp; Albert J Arends; Ronald Boellaard; Jorn A van Dalen; Mark Lubberink; Antoon T M Willemsen; Eric P Visser
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-07-08       Impact factor: 9.236

6.  Optimising quantitative 90Y PET imaging: an investigation into the effects of scan length and Bayesian penalised likelihood reconstruction.

Authors:  Nathaniel P Scott; Daniel R McGowan
Journal:  EJNMMI Res       Date:  2019-05-10       Impact factor: 3.138

7.  Performance characteristics of silicon photomultiplier based 15-cm AFOV TOF PET/CT.

Authors:  Delphine Vandendriessche; Jorge Uribe; Hugo Bertin; Frank De Geeter
Journal:  EJNMMI Phys       Date:  2019-05-10

8.  Yttrium-90 quantitative phantom study using digital photon counting PET.

Authors:  Joey Labour; Philippe Boissard; David Sarrut; Jean-Noël Badel; Thomas Baudier; Fouzi Khayi; David Kryza; Pascale Veyrat Durebex; Sandrine Parisse-Di Martino; Thomas Mognetti
Journal:  EJNMMI Phys       Date:  2021-07-27

9.  Impact of the Noise Penalty Factor on Quantification in Bayesian Penalized Likelihood (Q.Clear) Reconstructions of 68Ga-PSMA PET/CT Scans.

Authors:  Sjoerd Rijnsdorp; Mark J Roef; Albert J Arends
Journal:  Diagnostics (Basel)       Date:  2021-05-08

10.  Evaluation of block-sequential regularized expectation maximization reconstruction of 68Ga-DOTATOC, 18F-fluoride, and 11C-acetate whole-body examinations acquired on a digital time-of-flight PET/CT scanner.

Authors:  Elin Lindström; Lars Lindsjö; Anders Sundin; Jens Sörensen; Mark Lubberink
Journal:  EJNMMI Phys       Date:  2020-06-15
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