Literature DB >> 21791730

Effects of injected dose, BMI and scanner type on NECR and image noise in PET imaging.

Tingting Chang1, Guoping Chang, Steve Kohlmyer, John W Clark, Eric Rohren, Osama R Mawlawi.   

Abstract

Noise equivalent count rate (NECR) and image noise are two different but related metrics that have been used to predict and assess image quality, respectively. The aim of this study is to investigate, using patient studies, the relationships between injected dose (ID), body mass index (BMI) and scanner type on NECR and image noise measurements in PET imaging. Two groups of 90 patients each were imaged on a GE DSTE and a DRX PET/CT scanner, respectively. The patients in each group were divided into nine subgroups according to three BMI (20-24.9, 25-29.9, 30-45 kg m(-2)) and three ID (296-444, 444-555, 555-740 MBq) ranges, resulting in ten patients/subgroup. All PET data were acquired in 3D mode and reconstructed using the VuePoint HD® fully 3D OSEM algorithm (2 iterations, 21(DRX) or 20 (DSTE) subsets). NECR and image noise measurements for bed positions covering the liver were calculated for each patient. NECR was calculated from the trues, randoms and scatter events recorded in the DICOM header of each patient study, while image noise was determined as the standard deviation of 50 non-neighboring voxels in the liver of each patient. A t-test compared the NECR and image noise for different scanners but with the same BMI and ID. An ANOVA test on the other hand was used to compare the results of patients with different BMI but the same ID and scanner type as well as different ID but the same BMI and scanner type. As expected the t-test showed a significant difference in NECR between the two scanners for all BMI and ID subgroups. However, contrary to what is expected no such findings were observed for image noise measurement. The ANOVA results showed a statistically significant difference in both NECR and image noise among the different BMI for each ID and scanner subgroup. However, there was no statistically significant difference in NECR and image noise across different ID for each BMI and scanner subgroup. Although the GE DRX PET/CT scanner has better count rate performance than the GE DSTE PET/CT scanner, this improvement does not translate to a lower image noise when using OSEM reconstruction. Our results show that patients with larger BMI consistently generate poorer image quality. Dose reduction from >555 to 296-444 MBq has minimal impact on image quality independent of the scanner used. A reduction in ID decreases patient and technologist exposure and can potentially reduce the overall cost of the study.

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Year:  2011        PMID: 21791730     DOI: 10.1088/0031-9155/56/16/013

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  10 in total

1.  Relating18F-FDG image signal-to-noise ratio to time-of-flight noise-equivalent count rate in total-body PET using the uEXPLORER scanner.

Authors:  Edwin K Leung; Yasser G Abdelhafez; Eric Berg; Zhaoheng Xie; Xuezhu Zhang; Reimund Bayerlein; Benjamin Spencer; Elizabeth Li; Negar Omidvari; Aaron Selfridge; Simon R Cherry; Jinyi Qi; Ramsey D Badawi
Journal:  Phys Med Biol       Date:  2022-06-10       Impact factor: 4.174

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

Authors:  Tingting Chang; Guoping Chang; John W Clark; Rami H Diab; Eric Rohren; Osama R Mawlawi
Journal:  Med Phys       Date:  2012-10       Impact factor: 4.071

3.  Acquisition time optimization of positron emission tomography studies by use of a regression function derived from torso cross-sections and noise-equivalent counts.

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Journal:  Radiol Phys Technol       Date:  2016-01-21

Review 4.  Dosage optimization in positron emission tomography: state-of-the-art methods and future prospects.

Authors:  Nicolas A Karakatsanis; Eleni Fokou; Charalampos Tsoumpas
Journal:  Am J Nucl Med Mol Imaging       Date:  2015-10-12

5.  The clinical effectiveness of reconstructing 18F-sodium fluoride PET/CT bone using Bayesian penalized likelihood algorithm for evaluation of metastatic bone disease in obese patients.

Authors:  Sharjeel Usmani; Najeeb Ahmed; Gopinath Gnanasegaran; Rashid Rasheed; Fahad Marafi; Mashari Alnaaimi; Mohammad Omar; Ahmed Musbah; Fareeda Al Kandari; Stijn De Schepper; Tim Van den Wyngaert
Journal:  Br J Radiol       Date:  2021-02-11       Impact factor: 3.039

6.  Dose Optimization in TOF-PET/MR Compared to TOF-PET/CT.

Authors:  Marcelo A Queiroz; Gaspar Delso; Scott Wollenweber; Timothy Deller; Konstantinos Zeimpekis; Martin Huellner; Felipe de Galiza Barbosa; Gustav von Schulthess; Patrick Veit-Haibach
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

7.  Intra-individual comparison of PET/CT with different body weight-adapted FDG dosage regimens.

Authors:  Jan H Geismar; Paul Stolzmann; Bert-Ram Sah; Irene A Burger; Burkhardt Seifert; Gaspar Delso; Gustav K von Schulthess; Patrick Veit-Haibach; Lars Husmann
Journal:  Acta Radiol Open       Date:  2015-01-29

8.  Exploration of the total-body PET/CT reconstruction protocol with ultra-low 18F-FDG activity over a wide range of patient body mass indices.

Authors:  Xiuli Sui; Hui Tan; Haojun Yu; Jie Xiao; Chi Qi; Yanyan Cao; Shuguang Chen; Yiqiu Zhang; Pengcheng Hu; Hongcheng Shi
Journal:  EJNMMI Phys       Date:  2022-03-03

9.  Clinical image quality perception and its relation to NECR measurements in PET.

Authors:  Marcelo A Queiroz; Scott D Wollenweber; Gustav von Schulthess; Gaspar Delso; Patrick Veit-Haibach
Journal:  EJNMMI Phys       Date:  2014-12-23

10.  Reducing Radiation Exposure to Paediatric Patients Undergoing [18F]FDG-PET/CT Imaging.

Authors:  Hunor Kertész; Thomas Beyer; Kevin London; Hamda Saleh; David Chung; Ivo Rausch; Jacobo Cal-Gonzalez; Theo Kitsos; Peter L Kench
Journal:  Mol Imaging Biol       Date:  2021-04-12       Impact factor: 3.488

  10 in total

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