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Research Lab Results for image reconstruction

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  • Imaging for Surgery, Therapy and Radiology (I-STAR) Lab

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    The Imaging for Surgery, Therapy and Radiology (I-STAR) Lab is a collaborative research endeavor based in the Department of Biomedical Engineering at Johns Hopkins University. Research areas include: (1) Imaging physics: Mathematical models of imaging performance in advanced modalities, including cone-beam CT and spectral/dual-energy imaging, (2) 3-D image reconstruction: Advanced 3-D image reconstruction based on statistical models of the imaging chain and prior information, (3) Novel imaging systems: Preclinical prototypes translated from the laboratory to first application in diagnostic and interventional procedures, and(4) Image-guided interventions and diagnostic radiology: High-precision interventional guidance systems (for surgery, interventional radiology, and radiation therapy) and new technologies for high-quality diagnostic imaging.

    Research Areas: 3-D, physics, imaging, radiology, surgery, CT
  • Quantitative Imaging Technologies

    Research in the Quantitative Imaging Technologies lab — a component of the Imaging for Surgery, Therapy and Radiology (I-STAR) Lab — focuses on novel technologies to derive accurate structural and physiological measurements from medical images. Our team works on optimization of imaging systems and algorithms to support a variety of quantitative applications, with recent focus on orthopedics and bone health. For example, we have developed an ultra-high resolution imaging chain for an orthopedic CT system to enable in-vivo measurements of bone microstructure. Our interests also include automated methods to extract quantitative information from images, including anatomical and micro-structural measurements, and shape analysis.

    Research Areas: physics, image reconstruction, orthopedic imaging, biomedical engineering, x-ray, quantitative imaging, bone health
  • Wojciech Zbijewski Lab

    Research in the Wojciech Zbijewski Lab — a component of the Imaging for Surgery, Therapy and Radiology (I-STAR) Lab — focuses on system modeling techniques to optimize the x-ray CT imaging chain. We’re specifically interested in: 1) using numerical models to improve the task-based optimization of image quality; 2) exploring advanced modeling of physics in statistical reconstruction; 3) using accelerated Monte Carlo methods in CT imaging; and 4) conducting experimental validation of such approaches and applying them to the development of new imaging methods.

    Research Areas: physics, image reconstruction, algorithms, imaging, x-ray
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