CENTER FOR VIRTUAL IMAGING TRIALS

A virtual platform for evaluating medical imaging technologies from design to use

CVIT is a National Center for Biomedical Imaging and Bioengineering supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and operated at Duke University.

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Center for Virtual Imaging Trials at RSNA 2023 in Chicago

The Center for Virtual Imaging Trials will be, for the first time, at the RSNA annual meeting in Chicago. From November 26-29, CVIT will be at McCormick Place, booth 3352,…

A New Methodology

We oﬀer an eﬃcient methodology for evaluating imaging technologies and applications in silico using computational models simulating the patient, the imaging system, and the image reader.

These models comprise our three technology, research, and development (TR&D) endeavors, where we continue to provide realistic computational models of human anatomy (virtual patients), state-of-the-art CT scanners (virtual scanners), and clinically relevant image analysis (virtual readers).

The TR&Ds work synergistically to oﬀer comprehensive resources and essential training to partners through our various collaborative and service projects as well as training and dissemination eﬀorts.

Recently Shared Software

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Graphical User Interface (GUI) for DukeSim
DukeSim GUI v1.0 is a webpage-based graphical user interface (GUI) to run the DukeSim CT simulator. The GUI allows users to select phantom models, scanner models, and imaging parameters to generate simulated CT images.
TransMorph: Transformer for Unsupervised Medical Image Registration
Novel hybrid Transformer-ConvNet model designed for 3D medical image registration.

Recently Shared Data

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Library of Organ Dose Coefficients in Tomosynthesis Imaging
Library of dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols.
200 Anatomically Variable Adult Voxelized Phantoms
Anatomically variable chest and abdomen phantoms, each based on CT data and modeling either COPD or lung or liver abnormalities.