PennSIVE

  • plpc

    We develop robust statistical methods for the quantification of dynamic contrast-enhanced magnetic resonance imaging.

  • scores

    Through innovative statistical methods, we quantify whole-brain changes in blood flow for the study of neurological diseases.

  • pred

    We study the relationship between different imaging modalities to assess optimal structural imaging study designs with minimal resources.

  • sublime

    Our methods allow for the fast, robust, and effective detection of changes in images to identify disease progression.

  • dcemri

    We study changes in blood-brain barrier properties in regions around multiple sclerosis lesions through dynamic contrast-enhanced magnetic resonance imaging.

  • enhpred

    We have shown that using pre-contrast imaging to assess intrinsic tissue damage allows for prediction of contrast enhancement in many cases.

  • ROI

    We develop statistical methods for the study of longitudinal trends in complex spatiotemporal processes.

Welcome

The Penn Statistical Imaging and Visualization Endeavor (PennSIVE) consists of a group of statisticians studying etiology and clinical practice through medical imaging. Based in the Center for Clinical Epidemiology and Biostatistics at the Perelman School of Medicine, we work closely with collaborators at the University of Pennsylvania and nationally in medical specialties including neurology, neurosurgery, and radiology. We are also affiliated with the Center for Biomedical Image Computing and Analytics in the Department of Radiology. Our primary goals include:

  • Developing robust and generalizable statistical methods for the analysis of multimodal biomedical imaging data.
  • Integrating complex medical imaging data and other biomarkers to study health.
  • Building clinical tools for the assessment of disease diagnosis, progression, and prognosis through cross-sectional and longitudinal imaging studies.

News & Announcements