4 papers
Machine Learning Derived Blood Input for Dynamic PET Images of Rat Heart
Shubhrangshu Debsarkar, Bijoy Kundu
Dynamic FDG PET imaging study of n = 52 rats including 26 control Wistar-Kyoto (WKY) rats and 26 experimental spontaneously hypertensive rats (SHR) were performed using a Siemens m…
Determination of unscaled blood input for human dynamic FDG brain PET
William Terrell, Mark Muzi, Bijoy Kundu
Objectives: Many existing techniques for the non-invasive quantification of the blood input function in dynamic FDG-PET imaging require strong historical information or user input.…
An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping
Rugved Chavan, Gabriel Hyman, Zoraiz Qureshi +10
Dynamic 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography (dFDG-PET) for human brain imaging has considerable clinical potential, yet its utilization remains limited. A…
Multimodal Deep Learning to Differentiate Tumor Recurrence from Treatment Effect in Human Glioblastoma
Tonmoy Hossain, Zoraiz Qureshi, Nivetha Jayakumar +5
Differentiating tumor progression (TP) from treatment-related necrosis (TN) is critical for clinical management decisions in glioblastoma (GBM). Dynamic FDG PET (dPET), an advance…