Prof.
Jos Roerdink
(University of Groningen)
1/9/17, 1:20 PM
Lectures
This talk centers around the analysis and visualization of
multidimensional scalar and tensor data within the framework of
mathematical morphology. Initiated in the 1960s, mathematical
morphology was developed to describe image operators for enhancement,
segmentation, and extraction of shape information from digital
images. In contrast to traditional linear image processing,...
Dr
Daniil Kazantsev
(The University of Manchester)
1/9/17, 3:40 PM
Lectures
Technological advances in tomographic acquisition speeds allow multiple 3D data to be acquired in a short period of time, meaning that the structural changes of an object can be interpreted as a function of time. Dynamic experiments are crucial since they can shed a light on structural changes under realistic conditions. The critical limitation of dynamic imaging is a number of projections...
Mr
Vincent Van Nieuwenhove
(University of Antwerp)
1/9/17, 4:00 PM
Lectures
A conventional 4D computed tomography (CT) acquisition consists of several CT (sub) scans that are acquired sequentially. Conventionally, each sub scan is independently reconstructed. A straight forward method to improve the temporal resolution and reduce deformation artefacts the acquisition time of each sub scan can be shortened. However, this strategy results in low signal to noise ratio...
Dr
Holger Kohr
(CWI, Amsterdam)
1/9/17, 4:20 PM
Lectures
Today, most imaging software pipelines distinguish between (at least)
the steps of (1) data acquisition, (2) volumetric reconstruction and (3)
visualization and analysis. Those parts are usually treated as separate
"modules" with only marginal interaction, e.g., through calibration
parameters. In particular, reconstruction is almost always performed on
a whole volume, and the...
Prof.
Eduard Groeller
(TU Wien)
1/10/17, 9:00 AM
Lectures
Visualization and visual computing use computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity concerning volume, veracity, velocity, and variety has increased considerably. This is due to new data sources as well as the availability of uncertainty, error and tolerance information. Instead of individual objects entire...
Prof.
Rüdiger Westermann
(Technical University Munich)
1/10/17, 10:30 AM
Lectures
In many scientific fields, the recognition that predictability is limited has led to a paradigm shift in how predictions of dynamic processes are created. Instead of making a single deterministic computation of the future field state, ensembles of many numerical simulations are computed—based on a set of possible initial states and random variations to account for model uncertainty—and...
Prof.
Markus Strobl
(ESS-ERIC)
1/10/17, 11:30 AM
Lectures
4D imaging data might first be understood as time resolved 3D tomographic imaging data. However, this is not necessarily the most representative case in particular in neutron imaging. While neutron imaging despite low available phase space densities in neutron beams and the corresponding relatively long exposure times, does not only allow for kinetic studies in some limited cases even with 3D...
Dr
Anders Kaestner
(Paul Scherrer Institut, NIAG)
1/10/17, 11:50 AM
Lectures
Many dynamic processes have active components consisting of mainly low density elements like hydrogen or lithium. Neutron imaging has the characteristic feature that the modality is very sensitive to in particular these elements. This is used to observe processes in applications like porous media research (soil hydrology, geology, and civil engineering), foams (food and polymers) and...
Ralph Patrick Harti
1/10/17, 12:10 PM
Lectures
The visualisation of dynamic processes with neutron grating interferometry (nGI) has not yet been studied to an extend where application could be useful. This is mostly due to the typically long exposure time of nGI experiments that are in the range of 20 minutes to several hours per dataset. We present an experimental, as well as data analysis, procedure that allows us to image repetitive...
Dr
Alessandra Patera
(Paul Scherrer Institut)
1/10/17, 2:00 PM
Lectures
The formation and progression of several vascular diseases in the brain is accompanied by changes in the vessel micro-structure and morphology. A clear visualisation and an in-depth knowledge of the vascular system is essential for better understanding the pathophysiological mechanisms of neurovascular disorders. Micro-Optical Sectioning Tomography has shown potentials in imaging the vessel...
Goran Lovric
(Paul Scherrer Institut)
1/10/17, 2:20 PM
Lectures
With the advent of highly brilliant third-generation synchrotron X-ray sources in vivo imaging of biological samples has recently reached micrometer spatial and sub-second temporal resolutions. Analyzing high-resolution 3D biological structures such as lung tissue, however, still poses a great challenge due to its complexity and hierarchical branching scheme. In this work we demonstrate the...
Mr
Alexander Amirkhanov
(University of Applied Sciences Upper Austria, Wels Campus)
1/10/17, 2:40 PM
Lectures
Interrupted in situ tensile tests are used in industry to study the evolution and accumulation of damages under load in glass fiber reinforced polymers (GFRPs).
During these tests, a test specimen is scanned multiple times using a computed tomography (CT) device under increasing load.
The obtained series of CT scans is analyzed by material engineers regarding defects to draw conclusions...
Dr
Doga Gursoy
(Argonne National Laboratory)
1/10/17, 3:00 PM
Lectures
In tomography, a series of 2D projections are acquired as a 3D object is rotated about one or more axes, after which a 3D reconstruction of the object is obtained. Implicit in the approach is the idea that the only differences between the projections are the known rotational angles, with no additional motions or distortions of the object. This condition is easy to meet in traditional forms of...
Dr
Anna Vilanova
(TUDelft)
1/11/17, 9:00 AM
Lectures
Tensor-field visualization has got special attention of the visualization community in the last decades. An important force on this development is the advance of diffusion weighted magnetic resonance imaging (DW-MRI) acquisition. This MRI modality allows the acquisition of water diffusion information in living tissue. This information measured at the macro level (mm) allows the unprecedented...
Dr
Martin Turner
(University of Manchester)
1/11/17, 10:20 AM
Lectures
Dynamic experiments require careful planning and visualisation is key for the next generation of 4D control for dynamic objects.
Experience of integrating HPC/ visualisation and feedback of the human in the facility data capture is being built at SCD/STFC; UK.
Nicholas Tan Jerome
(Karlsruhe Institute of Technology)
1/11/17, 10:40 AM
Lectures
With data sets growing beyond petabytes or even terabytes in scientific experiments, there is a trend of keeping data at facilities and providing remote cloud-based services for analysis. However, accessing these data sets remotely is cumbersome due to additional network latency and incomplete metadata description. To ease the data set browsing on remote data archives, our WAVE framework...
