Home

Computational and Analytical Aspects of Image Reconstruction
(July 13-17, 2015)


CLICK HERE TO PARTICIPATE
Application review will begin on March 9, 2015
Organizing Committee

Description

The mathematical study of image reconstruction problems can have a huge impact on human life. More efficient mathematical algorithms for X-ray tomography and more accurate mathematical models in seismic or hybrid imaging can lead to better imaging devices in fields such as medicine and remote sensing. Developing the underlying mathematics, including the analysis of reconstruction stability, regularization, singularity characterization, and efficient algorithms, may lead to fewer false positives in fields such as medical, seismic and radar imaging.

This topical workshop will bring together international experts working in computational and analytical aspects of image reconstruction (including but not limited to electron-microscope tomography, hybrid imaging, radar and sonar, full waveform inversion of seismic imaging and X-ray CT) as well as postdoctoral fellows and graduate students. There will be multiple introductory-level talks for early-career researchers and non-specialists in the area on both the mathematics involved and the scientific and industrial applications. Speakers and participants from industry will be included to strengthen the practical aspects of the workshop.


Output of iterations of a Mumford-Shah level set-based method for simultaneous reconstruction and segmentation of a torso phantom from noisy CT data. Images courtesy of Esther Klann relating to work in E. Klann, R. Ramlau, and W. Ring, Inverse Problems and Imaging, Vol. 5 (2011), 137-166.

  • Gaik Ambartsoumian
    (University of Texas)
  • Margaret Cheney *
    (Colorado State University)
  • Vladimir Druskin
    (Schlumberger-Doll)
  • Raluca Felea *
    (Rochester Institute of Technology)
  • Jeffrey Fessler*
    (University of Michigan)
  • Bernadette Hahn*
    (Universität des Saarlandes)
  • Ming Jiang*
    (Beijing (Peking) University)
  • Alexander Katsevich*
    (University of Central Florida)
  • Esther Klann
    (Johannes Kepler Universität Linz)
  • Venkateswaran Krishnan
    (Centre for Applicable Mathematics)
  • Peter Kuchment*
    (Texas A & M University)
  • Leonid Kunyansky*
    (Arizona State University)
  • Oleg Kuybeda *
    (National Institutes of Health (NIH))
  • Alfred Louis
    (Universität des Saarlandes)
  • Shari Moskow *
    (Drexel University)
  • Jennifer Mueller*
    (Colorado State University)
  • Frank Natterer*
    (Westfälische Wilhelms-Universität Münster)
  • Linh Nguyen *
    (University of Idaho)
  • Cliff Nolan*
    (University of Limerick)
  • Ozan Oktem*
    (Royal Institute of Technology (KTH))
  • Sarah Patch*
    (University of Wisconsin)
  • Todd Quinto
    (Tufts University)
  • . Rakesh*
    (University of Delaware)
  • Otmar Scherzer *
    (Johann Radon Institute for Computational and Applied Mathematics )
  • Remco Schoenmakers*
    (FEI Netherlands )
  • John Schotland*
    (University of Michigan)
  • Thomas Schuster*
    (Universität des Saarlandes)
  • Bastian von Harrach *
    (Universität Stuttgart)
  • Mikhail Zaslavsky*
    (Schlumberger Cambridge Research)
  • Ting Zhou *
    (Massachusetts Institute of Technology)