14 citations · 35 across the 6 of their papers we have counts for
4 papers · 1 filter
The impact of MR-guided attenuation correction (compared to CTbased AC) on the diagnosis of anosmia based on 99m-Tc EthylCysteinate-Dimer SPECT images
Faeze Gholamiankhah, Samaneh Mostafapour, Seid Kazem Razavi-Ratki +2
99m-Tc Ethyl-Cysteinate-Dimer SPECT and MR imaging play a significant role in diagnosing anosmia. In this study, two-tissue class and three-tissue class attenuation maps (2C-MR and…
Deep learning-based synthetic CT generation from MR images: comparison of generative adversarial and residual neural networks
Faeze Gholamiankhah, Samaneh Mostafapour, Hossein Arabi
Currently, MRI-only radiotherapy (RT) eliminates some of the concerns about using CT images in RT chains such as the registration of MR images to a separate CT, extra dose delivery…
Quantitative analysis of image quality in low-dose CT imaging for Covid-19 patients
Behrooz Ghane, Alireza Karimian, Samaneh Mostafapour +3
We set out to simulate four reduced dose-levels (60%-dose, 40%-dose, 20%-dose, and 10%-dose) of standard CT imaging using Beer-Lambert's law across 49 patients infected with COVID-…
Deep learning-based attenuation correction in the image domain for myocardial perfusion SPECT imaging
Samaneh Mostafapour, Faeze Gholamiankhah, Sirvan Maroofpour +4
Objective: In this work, we set out to investigate the accuracy of direct attenuation correction (AC) in the image domain for the myocardial perfusion SPECT imaging (MPI-SPECT) usi…