Small Animal X-ray Computed Tomography

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2018-01-05

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https://hdl.handle.net/10161/16016

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Badea

Cristian Tudorel Badea

Professor in Radiology
  • Our QIAL lab advances quantitative imaging by designing novel CT systems, reconstruction algorithms, image analysis and applications, with a core strength in preclinical CT.
  • Current efforts center on spectral CT (dual-energy and photon-counting) with nanoparticle contrast agents for theranostics, multidimensional CT for challenging applications such as intracranial aneurysm, cardiac, and perfusion imaging, and modern reconstruction and image processing ( including deep learning).
  • In parallel, we lead co-clinical cancer imaging work; I served as PI of the U24 Duke Preclinical Research Resources for Quantitative Imaging Biomarkers within the NCI Co-Clinical Imaging Research Program (CIRP).
  • We are also building a virtual preclinical photon-counting CT platform for cancer studies to accelerate method development and translation.


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