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» Authors » Pardis Ghafarian

Pardis Ghafarian

Explore the profile of Pardis Ghafarian including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 34
Citations 178
Followers 0
Related Specialties
Radiology
Biophysics
General Medicine
Top 10 Co-Authors
Mohammad Reza Ay
Arman Rahmim
Habib Zaidi
Parham Geramifar
Saeed Sarkar
Peyman Sheikhzadeh
Mohammad R Ay
Hossein Ghadiri
Isaac Shiri
Mohammad Hossein Farahani
Published In
Phys Med
Nucl Med Commun
Jpn J Radiol
Mol Imaging Biol
Med Phys
Affiliations
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Recent Articles
1.
Robust vs. Non-robust radiomic features: the quest for optimal machine learning models using phantom and clinical studies
Hosseini S, Hajianfar G, Hall B, Servaes S, Rosa-Neto P, Ghafarian P, et al.
Cancer Imaging . 2025 Mar; 25(1):33. PMID: 40075547
Purpose: This study aimed to select robust features against lung motion in a phantom study and use them as input to feature selection algorithms and machine learning classifiers in a...
2.
Design and Performance Evaluation of SiPM-based High-resolution Dedicated Brain Positron Emission Tomography Scanner: A Simulation Study
Zare T, Sheikhzadeh P, Teimourian Fard B, Ghafarian P, Ay M
J Med Phys . 2025 Feb; 49(4):631-641. PMID: 39926137
Purpose/aim: The increasing population age highlights the critical need for early brain disease diagnosis, especially in disorders such as dementia. Consequently, a notable focus has been on developing dedicated brain...
3.
Optimizing scan time and bayesian penalized likelihood reconstruction algorithm in copper-64 PET/CT imaging: a phantom study
Monsef A, Sheikhzadeh P, Steiner J, Sadeghi F, Yazdani M, Ghafarian P
Biomed Phys Eng Express . 2024 Apr; 10(4). PMID: 38608316
: The aim of this study was to evaluate Cu-64 PET phantom image quality using Bayesian Penalized Likelihood (BPL) and Ordered Subset Expectation Maximum with point-spread function modeling (OSEM-PSF) reconstruction...
4.
Exploring ASL perfusion MRI as a substitutive modality for 18F-FDG PET in determining the laterality of mesial temporal lobe epilepsy
Rahimzadeh H, Kamkar H, Ghafarian P, Hoseini-Tabatabaei N, Mohammadi-Mobarakeh N, Mehvari-Habibabadi J, et al.
Neurol Sci . 2023 Nov; 45(5):2223-2243. PMID: 37994963
Objective: The aim of this investigation was to determine whether a correlation could be discerned between perfusion acquired through ASL MRI and metabolic data acquired via 18F-fluorodeoxyglucose (18F-FDG) PET in...
5.
The effects of various penalty parameter values in Q.Clear algorithm for rectal cancer detection on F-FDG images using a BGO-based PET/CT scanner: a phantom and clinical study
Sadeghi F, Sheikhzadeh P, Farzanehfar S, Ghafarian P, Moafpurian Y, Ay M
EJNMMI Phys . 2023 Oct; 10(1):63. PMID: 37843705
Background: The Q.Clear algorithm is a fully convergent iterative image reconstruction technique. We hypothesize that different PET/CT scanners with distinct crystal properties will require different optimal settings for the Q.Clear...
6.
Accurate modeling and performance evaluation of a total-body pet scanner using Monte Carlo simulations
Rezaei H, Sheikhzadeh P, Ghafarian P, Zaidi H, Ay M
Med Phys . 2023 Sep; 50(11):6815-6827. PMID: 37665768
Background: The limited axial field-of-view (FOV) of conventional clinical positron emission tomography (PET) scanners (∼15 to 26 cm) allows detecting only 1% of all coincidence photons, hence limiting significantly their...
7.
Harmonization based on quantitative analysis of standardized uptake value variations across PET/CT scanners: a multicenter phantom study
Monsef A, Ay M, Sheikhzadeh P, Geramifar P, Rahmim A, Ghafarian P
Nucl Med Commun . 2022 Jul; 43(9):1004-1014. PMID: 35836388
Objectives: This study aimed to measure standardized uptake value (SUV) variations across different PET/computed tomography (CT) scanners to harmonize quantification across systems. Methods: We acquired images using the National Electrical...
8.
Synergistic impact of motion and acquisition/reconstruction parameters on F-FDG PET radiomic features in non-small cell lung cancer: Phantom and clinical studies
Hosseini S, Shiri I, Hajianfar G, Bahadorzadeh B, Ghafarian P, Zaidi H, et al.
Med Phys . 2022 Mar; 49(6):3783-3796. PMID: 35338722
Objectives: This study is aimed at examining the synergistic impact of motion and acquisition/reconstruction parameters on F-FDG PET image radiomic features in non-small cell lung cancer (NSCLC) patients, and investigating...
9.
Leveraging deep neural networks to improve numerical and perceptual image quality in low-dose preclinical PET imaging
Amirrashedi M, Sarkar S, Mamizadeh H, Ghadiri H, Ghafarian P, Zaidi H, et al.
Comput Med Imaging Graph . 2021 Nov; 94:102010. PMID: 34784505
The amount of radiotracer injected into laboratory animals is still the most daunting challenge facing translational PET studies. Since low-dose imaging is characterized by a higher level of noise, the...
10.
Tumor volume-adapted SUV as an alternative to SUV for quantification of small lesions in PET/CT imaging: a proof-of-concept study
Mosleh-Shirazi M, Nasiri-Feshani Z, Ghafarian P, Alavi M, Haddadi G, Ketabi A
Jpn J Radiol . 2021 Apr; 39(8):811-823. PMID: 33880686
Purpose: SUV is a recommended quantification metric except for small lesions. We aimed to assess the averaged standard uptake value (SUV) as an alternative to SUV for small-lesion quantification. Materials...