Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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BC Cancer
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Accurate 177Lu SPECT quantification is essential for patient-specific dosimetry in radiopharmaceutical therapies. Monte Carlo (MC) based reconstruction uses comprehensive system modeling to stochastically simulate photon transport and detector interactions, p...
Theranostic digital twins (TDTs) are virtual representations of individual patients, that integrate clinical patient history, imaging, and physiologically based pharmacokinetic (PBPK) modeling to simulate radiopharmaceutical therapies (RPTs). Their validation...
Accurate quantitative assessment in positron emission tomography (PET) is essential for reliable lesion characterization and therapy response evaluation. Quantitative accuracy is conventionally investigated using physical phantoms or numerical simulations; ho...
Builds on the AI theme from AAPM's 2025 Annual Meeting while moving from image interpretation to quantitative, treatment-enabling applications. This is an area of growing convergence between SNMMI and AAPM. Focus: How AI and machine learning are transforming...