Literature DB >> 32086646

Head-to-head comparison between digital and analog PET of human and phantom images when optimized for maximizing the signal-to-noise ratio from small lesions.

Julien Salvadori1,2, Freddy Odille3, Antoine Verger4,3, Pierre Olivier4, Gilles Karcher4, Pierre-Yves Marie4,5, Laetitia Imbert4,3.   

Abstract

BACKGROUND: Routine PET exams are increasingly performed with reduced injected activities, leading to the use of different image reconstruction parameters than the NEMA parameters, in order to prevent from any deleterious decrease in signal-to-noise ratio (SNR) and thus, in lesion detectability. This study aimed to provide a global head-to-head comparison between digital (Vereos, Philips®) and analog (Ingenuity TF, Philips®) PET cameras of the trade-off between SNR and contrast through a wide-ranging number of reconstruction iterations, and with a further reconstruction optimization based on the SNR of small lesions.
METHODS: Image quality parameters were compared between the two cameras on human and phantom images for a number of OSEM reconstruction iterations ranging from 1 to 10, the number of subsets being fixed at 10, and with the further identification of reconstruction parameters maximizing the SNR of spheres and adenopathies nearing 10 mm in diameter. These reconstructions were additionally obtained with and without time-of-flight (TOF) information (TOF and noTOF images, respectively) for further comparisons.
RESULTS: On both human and phantom TOF images, the compromise between SNR and contrast was consistently more advantageous for digital than analog PET, with the difference being particularly pronounced for the lowest numbers of iterations and the smallest spheres. SNR was maximized with 1 and 2 OSEM iterations for the TOF images from digital and analog PET, respectively, whereas 4 OSEM iterations were required for the corresponding noTOF images from both cameras. On the TOF images obtained with this SNR optimization, digital PET exhibited a 37% to 44% higher SNR as compared with analog PET, depending on sphere size. These relative differences were however much lower for the noTOF images optimized for SNR (- 4 to + 18%), as well as for images reconstructed according to NEMA standards (- 4 to + 12%).
CONCLUSION: SNR may be dramatically higher for digital PET than for analog PET, especially when optimized for small lesions. This superiority is mostly attributable to enhanced TOF resolution and is significantly underestimated in NEMA-based analyses.

Entities:  

Keywords:  Digital PET; Image quality; Optimization; Time-of-flight

Year:  2020        PMID: 32086646     DOI: 10.1186/s40658-020-0281-8

Source DB:  PubMed          Journal:  EJNMMI Phys        ISSN: 2197-7364


  10 in total

1.  Monte Carlo simulation of digital photon counting PET.

Authors:  Julien Salvadori; Joey Labour; Freddy Odille; Pierre-Yves Marie; Jean-Noël Badel; Laëtitia Imbert; David Sarrut
Journal:  EJNMMI Phys       Date:  2020-04-25

2.  ASNC stands for #PatientFirst imaging.

Authors: 
Journal:  J Nucl Cardiol       Date:  2021-04       Impact factor: 5.952

3.  Clinical impact of digital and conventional PET control databases for semi-quantitative analysis of brain 18F-FDG digital PET scans.

Authors:  Elise Mairal; Matthieu Doyen; Thérèse Rivasseau-Jonveaux; Catherine Malaplate; Eric Guedj; Antoine Verger
Journal:  EJNMMI Res       Date:  2020-11-30       Impact factor: 3.138

4.  Dynamic 18F-FDopa PET Imaging for Newly Diagnosed Gliomas: Is a Semiquantitative Model Sufficient?

Authors:  Timothée Zaragori; Matthieu Doyen; Fabien Rech; Marie Blonski; Luc Taillandier; Laëtitia Imbert; Antoine Verger
Journal:  Front Oncol       Date:  2021-10-05       Impact factor: 6.244

Review 5.  Shining Damaged Hearts: Immunotherapy-Related Cardiotoxicity in the Spotlight of Nuclear Cardiology.

Authors:  David Kersting; Stephan Settelmeier; Ilektra-Antonia Mavroeidi; Ken Herrmann; Robert Seifert; Christoph Rischpler
Journal:  Int J Mol Sci       Date:  2022-03-30       Impact factor: 5.923

6.  Artificial intelligence-based PET denoising could allow a two-fold reduction in [18F]FDG PET acquisition time in digital PET/CT.

Authors:  Kathleen Weyts; Charline Lasnon; Renaud Ciappuccini; Justine Lequesne; Aurélien Corroyer-Dulmont; Elske Quak; Bénédicte Clarisse; Laurent Roussel; Stéphane Bardet; Cyril Jaudet
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-05-20       Impact factor: 10.057

7.  Evaluation of Reconstruction Algorithms to Validate the NEMA Phantom Results in Clinical Scenario - A Comparative Study Using Time-of-Flight versus Non-Time-of-Flight Positron Emission Tomography Imaging.

Authors:  Ajay Kumar; Pearl Jacob; Ankit Watts; Anwin Joseph; Harneet Kaur; Monika Hooda; Amritjyot Kaur; Baljinder Singh
Journal:  Indian J Nucl Med       Date:  2022-07-08

8.  Detection of acute myocarditis by ECG-triggered PET imaging of somatostatin receptors compared to cardiac magnetic resonance: preliminary results.

Authors:  Caroline Boursier; Elodie Chevalier; Jeanne Varlot; Laura Filippetti; Olivier Huttin; Véronique Roch; Laetitia Imbert; Eliane Albuisson; Marine Claudin; Damien Mandry; Pierre-Yves Marie
Journal:  J Nucl Cardiol       Date:  2022-09-19       Impact factor: 3.872

9.  Phantom-based acquisition time and image reconstruction parameter optimisation for oncologic FDG PET/CT examinations using a digital system.

Authors:  Pedro Fragoso Costa; Walter Jentzen; Alissa Brahmer; Ilektra-Antonia Mavroeidi; Fadi Zarrad; Lale Umutlu; Wolfgang P Fendler; Christoph Rischpler; Ken Herrmann; Maurizio Conti; Robert Seifert; Miriam Sraieb; Manuel Weber; David Kersting
Journal:  BMC Cancer       Date:  2022-08-18       Impact factor: 4.638

10.  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
  10 in total

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