The team

Organization:

Jerome Jérome Lesaint is in charge of the organization of the Summer School. He will be your main contact before and during the event. He recently defended his PhD in tomography, under the supervision of Rolf Clackdoyle and Laurent Desbat. His main interests are data consistency conditions, geometric self-calibration of tomographic systems and more generally the mathematics of tomography.

 

Lecturers:

Rolf Rolf Clackdoyle has a PhD in mathematics from Dalhousie University in Canada.  Since 2005, his position is CNRS researcher, currently working at the TIMC-IMAG laboratory in Grenoble, France. Previously, he was a professor of radiology at the Medical Imaging Research Laboratory at the University of Utah, Salt Lake City, USA. His research contributions are in the areas of fully three-dimensional image reconstruction for parallel and cone-beam projections, in reconstruction from truncated projections in two-dimensional (classical) tomography, and in data consistency conditions for divergent beam geometries.  He is known in the medical imaging community for his pedagogical style when presenting research-level material.
Michel Michel Defrise obtained his PhD in theoretical physics from the University of Brussels. He has recently retired from his long-standing professor position in the Department of Nuclear Medicine of the Vrije Universiteit Brussel. He is internationally renowned for his contributions to inverse problems, and to image reconstruction theory and algorithms. His Fourier-rebinning algorithm was the standard for many years in positron emission tomography (PET). He has numerous publications in cone-beam reconstruction theory, time-of-flight PET, consistency conditions in medical imaging, region-of-interest tomography and truncated projections, and many other specific areas of medical imaging.  His contributions are equally balanced between the fields of PET, X-ray computed tomography (CT), and single photon emission computed tomography (SPECT).  Michel is widely regarded as a true world expert on analytic methods and reconstruction algorithms in medical imaging.
Laurent Laurent Desbat obtained his PhD in Applied Mathematics from the University Joseph Fourier, Grenoble. He is currently professor of mathematics at the Grenoble Alps University.  He ran the Masters program in Applied Mathematics for several years. Laurent's expertise is in efficient sampling in tomography, in on-line geometric calibration, in data consistency conditions.  He has extensive teaching experience, giving 200 hours of lectures each year for the past 18 years, and teaching an image reconstruction course in the mathematics department every year.

Fred Frederic Noo completed his PhD in Applied Science at the University of Liege, Belgium.  He is a professor of radiology at the University of Utah, Salt Lake City, USA working in the Utah Centre for Advanced Imaging Research (previously known as the Medical Imaging Research Laboratory). His contributions to image reconstruction theory are in the areas of cone-beam tomography, geometric calibration, and image quality.  His primary research area is X-ray computed tomography (CT) and he has also made contributions in reconstruction theory for single photon emission computed tomography (SPECT). Frederic is also known for design and implementation of fast and accurate algorithms in medical imaging.
Simon

Simon Rit has a PhD in computer science from the Lumière University, Lyon, France, on respiratory motion correction for cone-beam computed tomography (CT). He is currently a CNRS research associate at the CREATIS  laboratory in Lyon, working on cone-beam CT reconstruction for image-guided radiotherapy (IGRT), spectral CT, proton CT and single photon emission computed tomography (SPECT). Many of his developments are available in the Reconstruction Toolkit (RTK), a computer package based on the Insight Toolkit (ITK) for CT simulation and reconstruction, which is used for research and by some companies. The RTK package will be used for the computer sessions at the ATTIRE Summer School.

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