The Center for Quantification of Imaging Data from MAX IV

Imaging at large-scale facilities offers unique opportunities for measuring a material’s microstructure. Most often, these measurements require quantitative image analysis to obtain the relevant information. To ensure a high scientific output from MAX IV, the QIM center aims at developing and using the most relevant tools for analyzing the data for a given problem.

3D Imaging is an extremely powerful technique to learn about the inside of materials, samples and specimens across a wide range of scientific disciplines, including industrial and clinical applications, as well as other uses. At the newly established and one of the most brilliant synchrotron sources in the world - the MAX IV synchrotron - five imaging beamlines are being planned. Each of these has a worldwide superior specification allowing for unprecedented spatial and temporal resolution across a series of different X-ray imaging modalities. These instruments will produce very large data in the form of sequences of 3D images. These data become useful only when it is turned into information by means of image quantification. This transformation calls for image analysts and expertise from the QIM center.

Our ambition is to bridge the gap between the researchers using the MAX IV and image analysis knowledge. We provide consultancy and collaboration in order to make the process of going from a scan to results as seamless and streamlined as possible. Collaborative efforts will be required to go from the scientific questions to the quantification of the data.


Our team

The individuals associated with the QIM project are:

Professor Anders Bjorholm Dahl

Anders has been the head of section for the image analysis and computer graphics group at DTU since 2015. He finished his Ph.D. at DTU in 2009 and has been an employee of DTU since then. His research focuses on a variety of things related to image analysis, where his main focus has been on quantification of 3D volumetric data. (Google Scholar Profile)

Professor Jon Sporring

Jon Sporring received his Master and Ph.D. degree from the Department of Computer Science, University of Copenhagen, Denmark. In 2007-2012 and again since 2015 he is Vice-Chair for Research at Department of Computer Science, University of Copenhagen. His primary research field is Computer Science and particularly mathematical and medical image processing, computer graphics, information theory, and pattern recognition. To read more about his research, click here.

Senior Scientist Rajmund Mokso

Rajmund is a researcher and project manager at the MAX IV Laboratory (Lund University) and an honorary professor at the Technical University of Denmark. He is a specialist in X-ray physics with emphasis on the enhancement of X-ray imaging for biology and material science applications: development and applications of coherent imaging with improved temporal and spatial resolution. To read more about his research, click here.

Associate Professor Stephen Hall

Stephen is an associate professor at the Dept. of Solid Mechanics at the Faculty of Engineering (LTH) at Lund University. He is also in charge of the 4D-Imaging Lab x-ray tomography facility since 2011 after moving from Laboratoire 3R in Grenoble, France. To read more about his research, click here.

Associate Professor Vedrana Dahl

Vedrana Andersen Dahl received a Ph.D. degree in geometry processing in 2011. Her research interests revolve around geometric models for analysis of volumetric data. This includes volumetric segmentation, tomographic segmentation and methods based on deformable meshes. She developed image analysis tools with application in material science, industrial inspection and biomedicine. To read more about her research, click here.

Assistant Professor Anders Nymark Christensen

Anders has worked with 3D image analysis since 2010. First in a biological setting, and has since broadened his scope to geological and industrial materials. His research focuses are multivariate statistics, 3D-segmentation, and quantification - using a variety of techniques. He is currently employed as an assistant professor at DTU Compute.

Postdoctoral Researcher Behnaz Pirzamanbein

Behnaz has a Ph.D. in mathematical statistics and two master’s degrees in mathematics and modeling, and mathematical statistics. During her master’s theses, she worked with image processing methods both theoretically and applied. She has been a PostDoc at DTU compute since 2017, working with change detection methods and software development for satellite images. Her research interest is in statistical methods and statistical properties of images in space and time. To read more about Behnaz, click here

Researcher Camilla H. Trinderup

Camilla finished her Ph.D. in the image analysis and computer graphics group at DTU in 2015. Since then, she has been working with image analysis of 3D volumetric data within materials science - collaborating closely with researchers and industry. Her research interests lie within the field of application of complex methods for 3D segmentation.

Postdoctoral Researcher Monica Jane Emerson

Monica has a Ph.D. in statistical image analysis and a Masters in telecommunications engineering. She has worked in the intersection of materials science, X-ray CT imaging and statistical image analysis. Her research interest lies in the application of 3D segmentation and quantification techniques, which she enjoys developing in close collaboration with academic and industrial researchers from other scientific disciplines. (Google Scholar Profile)


Partners

Technical University of Denmark - DTU

DTU has large research groups in image analysis and computer graphics and scientific computing. These groups have long experience in 3D image analysis and visualization, as well as in 3D imaging. The application fields include medical imaging, material science, biology and geology, amongst others. In 2019, the 3D Imaging Center, with up 10 lab scale X-ray imaging instruments, will be commissioned at DTU. Attached to this center, there is the industry portal. DTU also participates in the beamline DanMAX at MAX IV and the plans for an ESS/MAX IV lighthouse center focusing on imaging of hard materials.

University of Copenhagen - KU

KU has a large image group with a long track record of developing and employing methods for reconstruction, processing, analysis, and quantification of 3D images and sequences. KU has imaging centers at the faculties SCIENCE and SUND with state of the art 3D imaging facilities, as well as a major high-performance computing center. KU also participates in the DanMAX consortium, with a focus on imaging of food and petrology.



Lund University - LU

Lund University homepage






MAX IV

MAX IV homepage


Capital Region of Denmark

Capital Region of Denmark