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Ali Uneri, PhD
Johns Hopkins Univ
Predicting Radiomic Feature Variation Due to CT Protocol Using Measured Image Quality Metrics
Radiomic feature reproducibility across CT protocols is limited by sensitivity to acquisition and reconstruction parameters. This work investigates whether standard physical image quality (IQ) metrics can quantitatively predict radiomic feature variation, ena...
Proffered Program · Diagnostic and Interventional Radiology Physics
From Phantom Measurements to Clinical Cohorts: Predicting CT Image Quality at Scale
Accurate characterization of image quality (IQ) enables cohort stratification and optimization of downstream tasks in imaging and image analysis. A recent multi-institutional study curated CT images of an IQ phantom across diverse scanners and sites, capturin...
Proffered Program · Diagnostic and Interventional Radiology Physics
Diagnostic and Interventional Radiology Physics Scientific Session: Emerging Multimodal Imaging Technologies for Disease Characterization and Therapy Monitoring
Diagnostic and Interventional Radiology Physics
Proffered Program · Diagnostic and Interventional Radiology Physics
Translating Phantoms and Phantom-Derived Measurements from Bench to Bedside
Imaging phantoms are foundational to building reliable, scalable, and equitable imaging systems. This symposium provides an overview of how contemporary phantoms and phantom-based methods connect benchtop measurements to clinical performance. The following th...
Invited Program · IM-CT