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| 1 | Respiratory-induced errors in tumor quantification and delineation in CT attenuation-corrected PET images:effects of tumor size,tumor location,and respiratory trace:a simulation study using the 4D XCAT phantom显示文摘 | GERAMIFAR P ZAFARGHANDI M S GHAFARIAN P | 2013 | Molecular Imaging and Biology2013，15，6： | 1 |
| 2 | Quantification of the impact of TOF and PSF on PET images using the noise-matching concept: clinical and phantom study显示文摘This study was to assess quantitatively the accuracy of ^(18)F-FDG PET/CT images reconstructed by TOF+PSF and TOF only, considering the noise-matching concept to minimize probable bias in evaluating algorithm performance caused by noise. PET images of similar noise level were considered. Measurements were made on an inhouse phantom with hot inserts of Φ10–37 mm, and oncological images of 14 patients were analyzed. The PET images were reconstructed using the OSEM, OSEM+TOF and OSEM+TOF+PSF algorithms. Optimal reconstruction parameters including iteration, subset, and FWHM of post-smoothing filter were chosen for both the phantom and patient data. In terms of quantitative accuracy, the recovery coefficient(RC) was calculated for the phantom PET images. The signal-to-noise ratio(SNR),lesion-to-background ratio(LBR), and SUV_(max)were evaluated from the phantom and clinical data. The smallest hot insert(Ф10 mm) with 2:1 activity concentration ratio could be detected in the PET image reconstructed using the TOF and TOF+PSF algorithms, but not the OSEM algorithm. The relative difference for SNR between the TOF+PSF and OSEM showed significantly higher values for smaller sizes, while SNR change was smaller for Ф22–37 mm inserts both 2:1 and 4:1 activity concentration ratio. In the clinical study, SNR gains were 1.6 ± 0.53 and 2.7 ± 0.74 for the TOF and TOF+PSF, while the relative difference of contrast was 17 ± 1.05 and 41.5 ± 1.85% for the TOF only and TOF+PSF, respectively. The impact of TOF+PSF is more significant than that of TOF reconstruction, in smaller inserts with low activity concentration ratio. In the clinical PET/CT images, the use of the TOF+PSF algorithm resulted in better SNR and contrast for lesions, and the highest SUV_(max)was also seen for images reconstructed with the TOF+PSF algorithm. | M. Shekari P. Ghafarian S. Ahangari M. R. Ay | 2017 | Nuclear Science and Techniques2017，28，11： | 1 |
| 3 | Immune response and protection assay of recombinant major surface glycoprotein of Leishmania (rgp63) reconstituted with liposomes in BALB/c mice显示文摘 | Mahmoud R. Jaafari Attieh Ghafarian Ahsan Farrokh-Gisour Afshin Samiei Masoumeh Tavassoti Kheiri Fereidoun Mahboudi Farzaneh Barkhordari Ali Khamesipour W. Robert McMaster | 2006 | Vaccine2006，，29： | 1 |
| 4 | Analysis of serum prostate- specific antigen levels in men aged 40 years and older in yasuj, iran 显示文摘 | Mehrabi S Ghafarian Shirazi H | 2005 | Urol J2005，2，4： | 1 |
| 5 | Analysis of heat transfer in oscillating flow through a channel filled with metal foam using computational fluid dynamics 显示文摘 | Ghafarian M Mohebbi-kalhori D Sadegi J | 2013 | International Journal of Thermal Sciences2013，66，： | 1 |
| 6 | Immuneresponse and protection assay of recombinant major surfaceglycoprotein of Leishmania (rgp63 ) reconstituted with liposomes inBALB/c mice 显示文摘 | Jaafari MR Ghafarian A Farrokh-Gisour A | 2006 | Vaccine2006，24，2930： | 1 |
| 7 | Impact of random and scattered coincidences from outside of field of view on positron emission tomography/computed tomography imaging with different reconstruction protocols显示文摘Image quality in positron emission tomography(PET)is affected by random and scattered coincidences and reconstruction protocols.In this study,we investigated the effects of scattered and random coincidences from outside the field of view(FOV)on PET image quality for different reconstruction protocols.Imaging was performed on the Discovery 690 PET/CT scanner,using experimental configurations including the NEMA phantom(a body phantom,with six spheres of different sizes)with a signal background ratio of 4:1.The NEMA phantom(phantom I)was scanned separately in a one-bed position.To simulate the effect of random and scatter coincidences from outside the FOV,six cylindrical phantoms with various diameters were added to the NEMA phantom(phantom II).The 18 emission datasets with mean intervals of 15 min were acquired(3 min/scan).The emission data were reconstructed using different techniques.The image quality parameters were evaluated by both phantoms.Variations in the signal-to-noise ratio(SNR)in a 28-mm(10-mm)sphere of phantom II were 37.9%(86.5%)for ordered-subset expectation maximization(OSEM-only),36.8%(81.5%)for point spread function(PSF),32.7%(80.7%)for time of flight(TOF),and 31.5%(77.8%)for OSEM+PSF+TOF,respectively,indicating that OSEM+PSF+TOF reconstruction had the lowest noise levels and lowest coefficient of variation(COV)values.Random and scatter coincidences from outside the FOV induced lower SNR,lower contrast,and higher COV values,indicating image deterioration and significantly impacting smaller sphere sizes.Amongst reconstruction protocols,OSEM+PSF+TOF and OSEM+PSF showed higher contrast values for sphere sizes of 22,28,and 37 mm and higher contrast recovery coefficient values for smaller sphere sizes of 10 and 13 mm. | Mahak Osouli Alamdari Pardis Ghafarian Arman Rahmim Mehrdad Bakhshayesh‑Karam Mohammad Reza Ay | 2023 | Nuclear Science and Techniques2023，34，12： | 0 |
| 8 | Analysis of Spatial Autocorrelation Patterns of Heavy and Super-Heavy Rainfall in Iran显示文摘Rainfall is a highly variable climatic element, and rainfall-related changes occur in spatial and temporal dimensions within a regional climate. The purpose of this study is to investigate the spatial autocorrelation changes of Iran's heavy and super-heavy rainfall over the past 40 years. For this purpose, the daily rainfall data of 664 meteorological stations between 1971 and 2011 are used. To analyze the changes in rainfall within a decade, geostatistical techniques like spatial autocorrelation analysis of hot spots, based on the Getis-Ord Gistatistic, are employed. Furthermore, programming features in MATLAB, Surfer, and GIS are used. The results indicate that the Caspian coast, the northwest and west of the western foothills of the Zagros Mountains of Iran, the inner regions of Iran, and southern parts of Southeast and Northeast Iran,have the highest likelihood of heavy and super-heavy rainfall. The spatial pattern of heavy rainfall shows that, despite its oscillation in different periods, the maximum positive spatial autocorrelation pattern of heavy rainfall includes areas of the west, northwest and west coast of the Caspian Sea. On the other hand, a negative spatial autocorrelation pattern of heavy rainfall is observed in central Iran and parts of the east, particularly in Zabul. Finally, it is found that patterns of super-heavy rainfall are similar to those of heavy rainfall. | Iman ROUSTA Mehdi DOOSTKAMIAN Esmaeil HAGHIGHI Hamid Reza GHAFARIAN MALAMIRI Parvane YARAHMADI | 2017 | Advances in Atmospheric Sciences2017，34，9： | 0 |
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