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Results for "Peyman Sheikhzadeh": 3 found

Generating Brain Pseudo-CT from PET-Only Images Using Deep Learning Method

Authors: Pouya Azarbar, Nima Kasraie, Mahsa Shahrbabki Mofrad, Peyman Sheikhzadeh

Affiliation: UT Southwestern Medical Center, Shahid Beheshti University of Medical science, Imam Khomeini Hospital Complex,Tehran University of Medical Sciences, Tehran University of Medical Science

Abstract Preview: Purpose: PET imaging become crucial in diagnosing and managing various diseases, but its key limitation is the lack of detailed anatomical information. Integrating CT-scans with PET images enhances cl...

Generation of Virtual Lung PET Images from CT Data Via Deep Learning for Accelerated Tumor Detection and Preliminary Diagnosis

Authors: Pouya Azarbar, Nima Kasraie, Peyman Sheikhzadeh

Affiliation: UT Southwestern Medical Center, Shahid Beheshti University of Medical science, Imam Khomeini Hospital Complex,Tehran University of Medical Sciences

Abstract Preview: Purpose: Positron Emission Tomography (PET) is crucial for diagnosing and monitoring diseases due to its functional imaging capabilities. However, its high cost, significant radiation exposure, and li...

Innovative Design and Simulation of a Pediatric-Dedicated SPECT: Enhancing Imaging Performance for a Healthier Scans in Children

Authors: Mohammadreza Ay, Nahal Daneshgar, Nima Kasraie, Abbas Monsef, Zeinab Peymani, Hadi Rezaei, Peyman Sheikhzadeh

Affiliation: University of Minnesota Medical School, Radiation Oncology, Department of Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Shiraz University of Medical Sciences, Department of Medical Physics, Tehran University of Medical Sciences, Department of Medical Physics and Biomedical Engineering, UT Southwestern Medical Center, Imam Khomeini Hospital Complex,Tehran University of Medical Sciences

Abstract Preview: Purpose:
This study aims to design and simulate an innovative pediatric-dedicated SPECT scanner optimized for children’s unique anatomical and safety needs by enhancing sensitivity in data acquisit...