2021
PET Image Denoising Using a Deep-Learning Method for Extremely Obese Patients
Liu H, Yousefi H, Mirian N, Lin M, Menard D, Gregory M, Aboian M, Boustani A, Chen M, Saperstein L, Pucar D, Kulon M, Liu C. PET Image Denoising Using a Deep-Learning Method for Extremely Obese Patients. IEEE Transactions On Radiation And Plasma Medical Sciences 2021, 6: 766-770. PMID: 37284026, PMCID: PMC10241407, DOI: 10.1109/trpms.2021.3131999.Peer-Reviewed Original Research
2014
Serial Imaging of Tumor Hypoxia in Early Stage Non-Small Cell Lung Cancer Patients Undergoing Stereotactic Body Radiotherapy
Kelada O, Decker R, Zheng M, Huang Y, Xia Y, Gallezot J, Liu C, Rockwell S, Carson R, Oelfke U, Carlson D. Serial Imaging of Tumor Hypoxia in Early Stage Non-Small Cell Lung Cancer Patients Undergoing Stereotactic Body Radiotherapy. International Journal Of Radiation Oncology • Biology • Physics 2014, 90: s26-s27. DOI: 10.1016/j.ijrobp.2014.05.126.Peer-Reviewed Original Research
2013
Enhancing clinical utility of respiratory-gated PET/CT using patient respiratory trace classification
Bowen S, Pierce L, Alessio A, Liu C, Kinahan P. Enhancing clinical utility of respiratory-gated PET/CT using patient respiratory trace classification. 2011 IEEE Nuclear Science Symposium Conference Record 2013, 2881-2885. DOI: 10.1109/nssmic.2012.6551657.Peer-Reviewed Original ResearchLesion locationDiagnostic CTMaximum standardized uptake valueUpper lung lesionSelection of patientsPatient selection guidelinesStandardized uptake valueLiver cancer patientsPET/CTPET/CT examsLower lungPatient groupCancer patientsLung lesionsPET parametersClinical utilityLiver lesionsResponse assessmentPatientsPET imagesUptake valueCT examsLinear associationAbdominal displacementCT