Optimizing Attenuation Correction in 68Ga-PSMA PET Imaging Using Deep Learning and Artifact-Free Dataset Refinement
Yazarlar (13)
Masoumeh Dorri Giv
Nuclear Medicine Research Center
Nuclear Medicine Research Center
Doç. Dr. Gülüzar ÖZBOLAT Sinop Üniversitesi, Türkiye
Hossein Arabi Hôpitaux Universitaires De Genève, İsviçre
Somayeh Malmir
Payame Noor University
Payame Noor University
Shahrokh Naseri
Mashhad University Of Medical Sciences, School Of Medicine
Mashhad University Of Medical Sciences, School Of Medicine
Vahid Roshan Ravan
Nuclear Medicine Research Center
Nuclear Medicine Research Center
Hossein Akbari-Lalimi
Nuclear Medicine Research Center
Nuclear Medicine Research Center
Raheleh Tabari Juybari
Gonabad University Of Medical Sciences
Gonabad University Of Medical Sciences
Ghasem Ali Divband
Behbahan Faculty Of Medical Science
Behbahan Faculty Of Medical Science
Nasrin Raeisi
Jam Hospital
Jam Hospital
Vahid Reza Dabbagh Kakhki
Nuclear Medicine Research Center
Nuclear Medicine Research Center
Emran Askari
Nuclear Medicine Research Center
Nuclear Medicine Research Center
Sara Harsini
Nuclear Medicine Research Center, Kanada
Nuclear Medicine Research Center, Kanada
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Diagnostics (Q1) | ||
| Dergi ISSN | 2075-4418 Dergi Bilgileri (2025) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 01-2025 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 31-05-2025 |
| Cilt / Sayı / Sayfa | 15 / 11 / 1400–0 | DOI | 10.3390/diagnostics15111400 |
| Makale Linki | https://www.mdpi.com/2075-4418/15/11/1400 | ||
| UAK Araştırma Alanları |
Tıbbi Biyokimya
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| Özet |
| Background/Objectives: Attenuation correction (AC) is essential for achieving quantitatively accurate PET imaging. In ⁶⁸Ga-PSMA PET, however, artifacts such as respiratory motion, halo effects, and truncation errors in CT-based AC (CT-AC) images compromise image quality and impair model training for deep learning-based AC. This study proposes a nov... |
| Anahtar Kelimeler |
| attenuation correction | deep learning | image artifacts | neural networks | positron emission tomography computed tomography |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |
| Google Scholar | 2 |