scholarly journals Comparison between NEMA NU-2 and the new report of AAPM TG 126 for PET-CT image quality

2021 ◽  
Author(s):  
Eugenio Galicia-Larios ◽  
Carlos Alberto Reynoso-Mejía
Keyword(s):  
Image Quality ◽  
Ct Image ◽  
Pet Ct ◽  
Ct Image Quality

Optimization of PET/CT image quality using the GE ‘Sharp IR’ point-spread function reconstruction algorithm

2017 ◽  
Vol 38 (6) ◽  
pp. 471-479 ◽  
Author(s):  
Nicholas J. Vennart ◽  
Nicholas Bird ◽  
John Buscombe ◽  
Heok K. Cheow ◽  
Ewa Nowosinska ◽  
...  
Keyword(s):  
Image Quality ◽  
Point Spread Function ◽  
Reconstruction Algorithm ◽  
Ct Image ◽  
Point Spread ◽  
Pet Ct ◽  
Spread Function ◽  
Ct Image Quality ◽  
Function Reconstruction

Benefits of Point-Spread Function and Time of Flight for PET/CT Image Quality in Relation to the Body Mass Index and Injected Dose

2013 ◽  
Vol 38 (6) ◽  
pp. 407-412 ◽  
Author(s):  
Go Akamatsu ◽  
Katsuhiko Mitsumoto ◽  
Kaori Ishikawa ◽  
Takafumi Taniguchi ◽  
Nobuyoshi Ohya ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Image Quality ◽  
Body Mass ◽  
Point Spread Function ◽  
The Body ◽  
Ct Image ◽  
Point Spread ◽  
Pet Ct ◽  
Spread Function ◽  
Ct Image Quality

Ultrashort-acting insulin may improve on 18F-FDG PET/CT image quality in patients with uncontrolled diabetic mellitus

2013 ◽  
Vol 34 (6) ◽  
pp. 527-532 ◽  
Author(s):  
Hee-Sung Song ◽  
Joon-Kee Yoon ◽  
Su Jin Lee ◽  
Seok-Ho Yoon ◽  
Kyung-Sook Jo ◽  
...  
Keyword(s):  
Image Quality ◽  
Fdg Pet ◽  
Ct Image ◽  
Diabetic Mellitus ◽  
Acting Insulin ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct ◽  
Ct Image Quality

scholarly journals Improvement in PET/CT Image Quality with a Combination of Point-Spread Function and Time-of-Flight in Relation to Reconstruction Parameters

2012 ◽  
Vol 53 (11) ◽  
pp. 1716-1722 ◽  
Author(s):  
G. Akamatsu ◽  
K. Ishikawa ◽  
K. Mitsumoto ◽  
T. Taniguchi ◽  
N. Ohya ◽  
...  
Keyword(s):  
Image Quality ◽  
Point Spread Function ◽  
Time Of Flight ◽  
Ct Image ◽  
Point Spread ◽  
Pet Ct ◽  
Spread Function ◽  
Ct Image Quality

scholarly journals Improvement in PET/CT image quality in overweight patients with PSF and TOF

2014 ◽  
Vol 29 (1) ◽  
pp. 71-77 ◽  
Author(s):  
Takafumi Taniguchi ◽  
Go Akamatsu ◽  
Yukiko Kasahara ◽  
Katsuhiko Mitsumoto ◽  
Shingo Baba ◽  
...  
Keyword(s):  
Image Quality ◽  
Ct Image ◽  
Pet Ct ◽  
Ct Image Quality

scholarly journals The impact of reconstruction algorithms and time of flight information on PET/CT image quality

2015 ◽  
Vol 49 (3) ◽  
pp. 227-233 ◽  
Author(s):  
Alen Suljic ◽  
Petra Tomse ◽  
Luka Jensterle ◽  
Damijan Skrk
Keyword(s):  
Image Quality ◽  
Spatial Resolution ◽  
Time Of Flight ◽  
Triple Line ◽  
Internal Diameter ◽  
Ct Image ◽  
Reconstruction Algorithms ◽  
Pet Ct ◽  
Ct Image Quality ◽  
The Impact

Abstract Background. The aim of the study was to explore the influence of various time-of-flight (TOF) and non-TOF reconstruction algorithms on positron emission tomography/computer tomography (PET/CT) image quality. Materials and methods. Measurements were performed with a triple line source phantom, consisting of capillaries with internal diameter of ~ 1 mm and standard Jaszczak phantom. Each of the data sets was reconstructed using analytical filtered back projection (FBP) algorithm, iterative ordered subsets expectation maximization (OSEM) algorithm (4 iterations, 24 subsets) and iterative True-X algorithm incorporating a specific point spread function (PSF) correction (4 iterations, 21 subsets). Baseline OSEM (2 iterations, 8 subsets) was included for comparison. Procedures were undertaken following the National Electrical Manufacturers Association (NEMA) NU-2-2001 protocol. Results. Measurement of spatial resolution in full width at half maximum (FWHM) was 5.2 mm, 4.5 mm and 2.9 mm for FBP, OSEM and True-X; and 5.1 mm, 4.5 mm and 2.9 mm for FBP+TOF, OSEM+TOF and True-X+TOF respectively. Assessment of reconstructed Jaszczak images at different concentration ratios showed that incorporation of TOF information improves cold contrast, while hot contrast only slightly, however the most prominent improvement could be seen in background variability - noise reduction. Conclusions. On the basis of the results of investigation we concluded, that incorporation of TOF information in reconstruction algorithm mostly affects reduction of the background variability (levels of noise in the image), while the improvement of spatial resolution due to incorporation of TOF information is negligible. Comparison of traditional and modern reconstruction algorithms showed that analytical FBP yields comparable results in some parameter measurements, such as cold contrast and relative count error. Iterative methods show highest levels of hot contrast, when TOF and PSF corrections were applied simultaneously.

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