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Updated: Mar 20, 2026

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
Published on: December 9, 2010
Multi-institutional MRI-based radiomic pilot study to measure the variations between scanner vendors and imaging
Suong Duong1, Danny Lee2, Carri Glide-Hurst3
1Department of Environmental Protection, Pennsylvania Commonwealth, Pittsburgh, PA, United States.
A new 3D radiomic phantom helps assess MRI scanner consistency for multi-institutional trials. Grid objects showed better radiomic feature reproducibility than egg-shaped ones, highlighting the need for standardized quality control in MRI studies.
Area of Science:
- Medical Imaging
- Radiomics
- Quality Assurance
Background:
- Multi-institutional clinical trials rely on MRI imaging for treatment decisions.
- Variability in image quality across different MRI vendors and models poses challenges.
- A unifying quality control protocol is needed to ensure MRI image comparability in studies.
Purpose of the Study:
- To develop a 3D radiomic phantom for quantifying radiomic feature consistency across MRI scanners.
- To enable standardized quality assessment in multi-institutional MRI studies.
Main Methods:
- A prototype phantom with 3D-printed grid and egg-shaped objects was created using Polylactic Acid (PLA).
- Objects were scanned using T1- and T2-weighted sequences on multiple MRI scanners (Philips, GE, Siemens, ViewRay) across institutions.
- 107 radiomic features were extracted, and Coefficients of Variation (CV) were analyzed to compare consistency.
Main Results:
- Radiomic feature consistency varied by object shape, with grid objects showing higher reproducibility than egg-shaped objects.
- GE scanners exhibited better reproducibility; ViewRay scanners showed consistency with the TrueFISP sequence (median CV <10%).
- T1w sequences demonstrated slightly better reproducibility than T2w sequences.
Conclusions:
- Significant intra-scanner variations in radiomic features were observed.
- A standardized radiomic phantom is essential for characterizing MRI scanners and sequences.
- Establishing a baseline for radiomic features is crucial for multi-institutional MRI studies.
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