Predicting FDG-PET Images From Multi-Contrast MRI Using Deep Learning in Patients With Brain Neoplasms

Ouyang, JiahongJiahongOuyangTZE-HSIANG CHENDuarte Armindo, RuiRuiDuarte ArmindoDavidzon, Guido AlejandroGuido AlejandroDavidzonHawk, Kristina ElizabethKristina ElizabethHawkMoradi, FarshadFarshadMoradiRosenberg, JarrettJarrettRosenbergLan, EllaEllaLanZhang, HelenaHelenaZhangZaharchuk, GregGregZaharchuk2024-04-092024-04-092024-0310531807https://scholars.lib.ntu.edu.tw/handle/123456789/64180818 F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is valuable for determining presence of viable tumor, but is limited by geographical restrictions, radiation exposure, and high cost.enFDG PET imaging; PET-MR; brain neoplasm; deep learningPredicting FDG-PET Images From Multi-Contrast MRI Using Deep Learning in Patients With Brain Neoplasmsjournal article10.1002/jmri.28837372599672-s2.0-85161407116https://api.elsevier.com/content/abstract/scopus_id/85161407116