Stephan Anderson

About

Stephan Anderson, PhD, is an Associate Professor of Radiology at Boston University School of Medicine and a faculty member in the College of Engineering. He holds a PhD from the University of Maryland, Baltimore. Since joining the Department of Radiology at Boston University Medical School, Dr. Anderson has focused his research efforts on the quantitative imaging of liver disease. He has collaborated with Professor Xin Zhang to apply engineering strategies to biomedical applications. His work integrates engineering principles with biomedical research to advance understanding and imaging of liver conditions.

Research topics

• Computer Science
• Acoustics
• Physics
• Medicine
• Materials science
• Radiology
• Electrical engineering
• Telecommunications
• Optoelectronics
• Artificial Intelligence

Selected publications

• Tryptophan metabolites suppress the Wnt pathway and promote adverse limb events in chronic kidney disease

  Journal of Clinical Investigation · 2021 · 63 citations

  Chronic kidney disease (CKD) imposes a strong and independent risk for peripheral artery disease (PAD). While solutes retained in CKD patients (uremic solutes) inflict vascular damage, their role in PAD remains elusive. Here, we show that the dietary tryptophan-derived uremic solutes including indoxyl sulfate (IS) and kynurenine (Kyn) at concentrations corresponding to those in CKD patients suppress β-catenin in several cell types, including microvascular endothelial cells (ECs), inhibiting Wnt…

  DOI

• Auxetics‐Inspired Tunable Metamaterials for Magnetic Resonance Imaging

  Advanced Materials · 2021 · 47 citations

  Auxetics refers to structures or materials with a negative Poisson's ratio, thereby capable of exhibiting counterintuitive behaviors. Herein, auxetic structures are exploited to design mechanically tunable metamaterials in both planar and hemispherical configurations operating at megahertz (MHz) frequencies, optimized for their application to magnetic resonance imaging (MRI). Specially, the reported tunable metamaterials are composed of arrays of interjointed unit cells featuring metallic helice…

  PublisherOA PDFDOI

• Accuracy of Dual-Energy CT Virtual Unenhanced and Material-Specific Images: A Phantom Study

  American Journal of Roentgenology · 2020 · 39 citations

  Senior authorCorresponding

  Virtual unenhanced images are reasonably accurate for simulated soft tissues and contrast materials, except for simulated bone. The lower limit of iodine quantification is radiation-dose dependent. For typical dose levels, 0.5 mg/mL iodine concentration is the lower threshold for iodine detection accuracy.

  DOI

• A robust near-field body area network based on coaxially-shielded textile metamaterial

  Nature Communications · 2024-08-03 · 19 citations

  articleOpen access

  A body area network involving wearable sensors distributed around the human body can continuously monitor physiological signals, finding applications in personal healthcare and athletic evaluation. Existing solutions for near-field body area networks, while facilitating reliable and secure interconnection among battery-free sensors, face challenges including limited spectral stability against external interference. Here we demonstrate a textile metamaterial featuring a coaxially-shielded interna…

  PublisherOA PDFDOI

• Helmholtz Coil‐Inspired Volumetric Wireless Resonator for Magnetic Resonance Imaging

  Advanced Materials Technologies · 2023 · 18 citations

  Abstract Signal‐to‐noise ratio (SNR) is one of the most common metrics in assessing the image quality of magnetic resonance imaging (MRI). Among a host of technological developments, various wireless devices, including metamaterials and volumetric wireless resonators have been reported to enhance SNR by redistributing the radio frequency magnetic field in the near field region. While theoretically feasible, their widespread clinical adoption has been limited by their field inhomogeneity, limited…

  PublisherOA PDFDOI

Recent grants

• Metamaterial-Enabled magnetic Resonance Imaging Enhancement

  NIH · $660k · 2018–2023

Frequent coauthors

• Jorge A. Soto

  Boston Medical Center

  474 shared

• Christina A. LeBedis

  Boston University

  155 shared

• Hernán Jara

  University of Southern California

  99 shared

• James T. Rhea

  88 shared

• Brian C. Lucey

  Galway Clinic

  62 shared

• ‬David D. B. Bates

  60 shared

• Jennifer W. Uyeda

  Brigham and Women's Hospital

  58 shared

• Xiaoguang Zhao

  57 shared

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