The Neuroimaging Informatics and Analysis Center is pleased to welcome Yi Su, Ph.D. to the 2011-12 NIL-NIAC Seminar Series.
Su’s research at the Alzheimer’s Disease Research Center (ADRC) at Washington University School of Medicine focuses on imaging analysis of PET-PIB neuroimaging data to identify disease markers.
Title: Quantitative PET imaging with image derived arterial input function.
Abstract: PET is known as the best quantitative imaging modality. However, full quantification of PET images is a challenging task. One of the prerequisites for the quantification is an arterial input function (AIF). The standard technique for obtaining AIF involves direct arterial blood sampling from an artery, which is invasive, technically difficult, and error prone. Alternative approaches have been sought after for many years, but it has been proven difficult. We will briefly review existing techniques, and introduce a multi-modality imaging-based technique for measuring AIF recently developed in our lab. We will also demonstrate this technique in several neuroimaging applications.
Video: Yi Su’s talk.