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Recent Advances in Quantitative PET Imaging

Frontiers in biomedical technologies, 2022-06, Vol.9 (3)

Ghafarian, Pardis

2022

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Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC)

European radiology, 2019-12, Vol.29 (12), p.6867-6879

2019

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Performance evaluation of developed dedicated breast PET scanner and improvement of the spatial resolution by wobbling: a Monte Carlo study

Japanese journal of radiology, 2020-08, Vol.38 (8), p.790-799

2020

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Tumor volume-adapted SUVN as an alternative to SUVpeak for quantification of small lesions in PET/CT imaging: a proof-of-concept study

Japanese journal of radiology, 2021-08, Vol.39 (8), p.811-823

2021

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NEMA NU‐4 2008 performance evaluation of Xtrim‐PET: A prototype SiPM‐based preclinical scanner

Medical physics (Lancaster), 2019-11, Vol.46 (11), p.4816-4825

2019

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Harmonization based on quantitative analysis of standardized uptake value variations across PET/CT scanners: a multicenter phantom study

Nuclear medicine communications, 2022-09, Vol.43 (9), p.1004-1014

2022

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The impact of iterative reconstruction protocol, signal-to-background ratio and background activity on measurement of PET spatial resolution

Japanese journal of radiology, 2020-03, Vol.38 (3), p.231-239

2020

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Impact of image reconstruction methods on quantitative accuracy and variability of FDG-PET volumetric and textural measures in solid tumors

European radiology, 2019-04, Vol.29 (4), p.2146-2156

2019

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Capturing Bone Signal in MRI of Pelvis, as a Large FOV Region, Using TWIST Sequence and Generating a 5-Class Attenuation Map for Prostate PET/MRI Imaging

Molecular imaging, 2018-01, Vol.17, p.1536012118789314-1536012118789314

2018

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The effects of various penalty parameter values in Q.Clear algorithm for rectal cancer detection on 18F-FDG images using a BGO-based PET/CT scanner: a phantom and clinical study

EJNMMI physics, 2023-10, Vol.10 (1), p.63-63, Article 63

2023

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Impact of random and scattered coincidences from outside of field of view on positron emission tomography/computed tomography imaging with different reconstruction protocols

Nuclear science and techniques, 2023-12, Vol.34 (12), p.40-52, Article 184

2023

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Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network

European journal of nuclear medicine and molecular imaging, 2020-10, Vol.47 (11), p.2533-2548

2020

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The Impact of Preprocessing on the PET-CT Radiomics Features in Non-small Cell Lung Cancer

Frontiers in biomedical technologies, 2021-11, Vol.8 (4)

2021

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Reconstruction/segmentation of attenuation map in TOF-PET based on mixture models

Annals of nuclear medicine, 2018-08, Vol.32 (7), p.474-484

2018

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Impact of Various Image Reconstruction Methods on Joint Compensation of Respiratory Motion and Partial Volume Effects in Whole-Body 18F-FDG PET/CT Imaging: Patients with Non-Small Cell Lung Cancer

Ṭibb-i junūb, 2022-12, Vol.25 (4), p.355-370

2022

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Quantification and reduction of respiratory induced artifacts in positron emission tomography/computed tomography using the time-of-flight technique

Nuclear medicine communications, 2017-11, Vol.38 (11), p.948-955

2017

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Evaluation of the Impact of Out-of-Axial FOV Scattering Medium on Random Coincidence Rates on Discovery 690 PET/CT Scanner: A Simulation Study

Frontiers in biomedical technologies, 2020-01, Vol.6 (4)

2020

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Synergistic impact of motion and acquisition/reconstruction parameters on 18F‐FDG PET radiomic features in non‐small cell lung cancer: Phantom and clinical studies

Medical physics (Lancaster), 2022-06, Vol.49 (6), p.3783-3796

2022

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Accurate modeling and performance evaluation of a total‐body pet scanner using Monte Carlo simulations

Medical physics (Lancaster), 2023-11, Vol.50 (11), p.6815-6827

2023

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Compton scatter tomography in TOF-PET

Physics in medicine & biology, 2017-09, Vol.62 (19), p.7641-7658

2017

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Synergistic impact of motion and acquisition/reconstruction parameters on 18 F-FDG PET radiomic features in non-small cell lung cancer: Phantom and clinical studies

Medical physics (Lancaster), 2022-06, Vol.49 (6), p.3783-3796

2022

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Leveraging deep neural networks to improve numerical and perceptual image quality in low-dose preclinical PET imaging

Computerized medical imaging and graphics, 2021-12, Vol.94, p.102010-102010, Article 102010

2021

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Design, optimization and performance evaluation of BM-PET: A simulation study

Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2019-10, Vol.940, p.274-282

2019

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HiResPET: high resolution PET image generation using deep convolution encoder decoder network

The Journal of nuclear medicine (1978), 2019-05, Vol.60

2019

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PSFNET: ultrafast generation of PSF-modelled-like PET images using deep convolutional neural network

The Journal of nuclear medicine (1978), 2019-05, Vol.60

2019

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Recent Advances in Quantitative PET Imaging

Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC)

Performance evaluation of developed dedicated breast PET scanner and improvement of the spatial resolution by wobbling: a Monte Carlo study

Tumor volume-adapted SUVN as an alternative to SUVpeak for quantification of small lesions in PET/CT imaging: a proof-of-concept study

NEMA NU‐4 2008 performance evaluation of Xtrim‐PET: A prototype SiPM‐based preclinical scanner

Harmonization based on quantitative analysis of standardized uptake value variations across PET/CT scanners: a multicenter phantom study

The impact of iterative reconstruction protocol, signal-to-background ratio and background activity on measurement of PET spatial resolution

Impact of image reconstruction methods on quantitative accuracy and variability of FDG-PET volumetric and textural measures in solid tumors

Capturing Bone Signal in MRI of Pelvis, as a Large FOV Region, Using TWIST Sequence and Generating a 5-Class Attenuation Map for Prostate PET/MRI Imaging

The effects of various penalty parameter values in Q.Clear algorithm for rectal cancer detection on 18F-FDG images using a BGO-based PET/CT scanner: a phantom and clinical study

Impact of random and scattered coincidences from outside of field of view on positron emission tomography/computed tomography imaging with different reconstruction protocols

Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network

The Impact of Preprocessing on the PET-CT Radiomics Features in Non-small Cell Lung Cancer

Reconstruction/segmentation of attenuation map in TOF-PET based on mixture models

Impact of Various Image Reconstruction Methods on Joint Compensation of Respiratory Motion and Partial Volume Effects in Whole-Body 18F-FDG PET/CT Imaging: Patients with Non-Small Cell Lung Cancer

Quantification and reduction of respiratory induced artifacts in positron emission tomography/computed tomography using the time-of-flight technique

Evaluation of the Impact of Out-of-Axial FOV Scattering Medium on Random Coincidence Rates on Discovery 690 PET/CT Scanner: A Simulation Study

Synergistic impact of motion and acquisition/reconstruction parameters on 18F‐FDG PET radiomic features in non‐small cell lung cancer: Phantom and clinical studies

Accurate modeling and performance evaluation of a total‐body pet scanner using Monte Carlo simulations

Compton scatter tomography in TOF-PET

Synergistic impact of motion and acquisition/reconstruction parameters on 18 F-FDG PET radiomic features in non-small cell lung cancer: Phantom and clinical studies

Leveraging deep neural networks to improve numerical and perceptual image quality in low-dose preclinical PET imaging

Design, optimization and performance evaluation of BM-PET: A simulation study

HiResPET: high resolution PET image generation using deep convolution encoder decoder network

PSFNET: ultrafast generation of PSF-modelled-like PET images using deep convolutional neural network

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