Siemens Biograph Horizon PET/CT System

2019 ◽  
Vol 49 (5) ◽  
pp. 37
Keyword(s):  
Pet Ct ◽  
2021 ◽  
Vol 8 ◽  
Author(s):  
Olivier Delcroix ◽  
David Bourhis ◽  
Nathalie Keromnes ◽  
Philippe Robin ◽  
Pierre-Yves Le Roux ◽  
...  

Purpose: The aim of this study was to assess image quality and lesion detectability acquired with a digital Positron Emission Tomography/Computed Tomography (PET/CT) Siemens Biograph Vision 600 system.Material and Methods: Consecutive patients who underwent a FDG PET/CT during the first week of use of a digital PET/CT (Siemens Biograph Vision 600) at the nuclear medicine department of the university hospital of Brest were analyzed. PET were realized using list mode acquisition. For all patients, 4 datasets were reconstructed. We determined, according to phantom measurements, an equivalent time acquisition/reconstruction parameters pair of the digital PET/CT corresponding to an analog PET/CT image quality (“analog-like”) as reference dataset. We compared the reference dataset with 3 others digital PET/CT reconstruction parameters, allowing a decrease of emission duration: 60, 90, and 120 s per bed position. Three nuclear medicine physicians evaluated independently, for each dataset, overall image quality [Maximal Intensity Projection (MIP), noise, sharpness] using a 4-point scale. Physicians assessed also lesion detection capability by reporting new visible lesions on each digital datasets with their confidence level in comparison with analog-like dataset.Results: Ninety-eight patients were analyzed. Image quality of MIP (IQMIP), sharpness (IQSHARPNESS), and noise (IQNOISE) of all digital datasets (60, 90, and 120 s) were better than those evaluated with analog-like reconstruction. Moreover, digital PET/CT system improved IQMIP, IQNOISE, and IQSHARPNESS whatever the BMI. Lesion detection capability and confidence level were higher for 60, 90, 120 s per bed position, respectively, than for analog-like images.Conclusion: Our study demonstrated an improvement of image quality and lesion detectability with a digital PET/CT system.


2016 ◽  
Vol 32 ◽  
pp. 108
Author(s):  
L. Manco ◽  
E. Tonini ◽  
A. Barboni ◽  
A. Turra ◽  
L. Feggi ◽  
...  

2013 ◽  
Vol 03 (02) ◽  
pp. 56-65 ◽  
Author(s):  
Dimitrios Nikolopoulos ◽  
Sofia Kottou ◽  
Nikolaos Chatzisavvas ◽  
Xenophon Argyriou ◽  
Emannouel Vlamakis ◽  
...  

Author(s):  
Janet S. Reddin ◽  
Joshua S. Scheuermann ◽  
Deepak Bharkhada ◽  
Anne M. Smith ◽  
Michael E. Casey ◽  
...  

2015 ◽  
Vol 30 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Young Sub Lee ◽  
Jin Su Kim ◽  
Jung Young Kim ◽  
Byung Il Kim ◽  
Sang Moo Lim ◽  
...  

2021 ◽  
Author(s):  
GA Prenosil ◽  
M Hentschel ◽  
M Fürstner ◽  
H Sari ◽  
A Rominger

2017 ◽  
Vol 44 (12) ◽  
pp. 6413-6424 ◽  
Author(s):  
Syahir Mansor ◽  
Elisabeth Pfaehler ◽  
Dennis Heijtel ◽  
Martin A. Lodge ◽  
Ronald Boellaard ◽  
...  

2018 ◽  
Vol 20 (6) ◽  
pp. 984-992 ◽  
Author(s):  
Guillaume Rucher ◽  
Lucie Cameliere ◽  
Jihene Fendri ◽  
Ahmed Abbas ◽  
Kevin Dupont ◽  
...  

Author(s):  
Abhijit J. Chaudhari ◽  
Yongfeng Yang ◽  
Richard Farrell ◽  
Purushottam A. Dokhale ◽  
Kanai S. Shah ◽  
...  

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Li Huo ◽  
Nan Li ◽  
Heyu Wu ◽  
Wenjia Zhu ◽  
Haiqun Xing ◽  
...  

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