Tomography at all Scales. Uccle, 7 April 2014
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1 Tomography at all Scales Uccle, 7 April 2014
2 Outline The Vision Lab ASTRA: All Scale Tomographic Reconstruction Antwerp Tomography Discrete Tomography In situ CT Superresolution Dynamic imaging The ASTRA Tomography Toolbox
3 iminds Vision Lab iminds Vision Lab Department of Physics University of Antwerp
4 iminds Vision Lab anno 2013
5 IMinds Vision Lab Started around PhDs defended 20+ journal papers/year 6 spin-offs Latest spin-off: QMRI ASTRA 2 professors + 3 visiting professors 13 postdoctoral researchers 18 PhD students Remote sensing iminds embedding: Department: Future Media & Imaging Research Theme: Biomedical image processing
6 ASTRA: work flow Acquisition Reconstruction Analysis Processing
7 tomography introduction t forward projection reconstruction projection data
8 Filtered back projection Reconstruction Raw CT data (sinogram) Reconstructed image
9 Discrete computed tomography Discrete tomography less x-ray dose improved spatial resolution faster imaging
10 Discrete tomography Phantom SIRT DART Batenburg J. and Sijbers J., "DART: A practical reconstruction algorithm for discrete tomography", IEEE Transactions on Image Processing, 20(9), , (2011)
11 Intermezzo How does DART work? Phantom SIRT reconstruction Segmented SIRT reconstruction Border DART reconstruction
12 Discrete tomography: Diamond processing
13 Truncated diamond images Large objects may not fit in the scanner FBP DART
14 3D Diamond reconstruction Diamond scanned with very small circular field of view Reconstructed using discrete tomography
15 Discrete tomography K. J. Batenburg et al.
16 Missing wedge K. J. Batenburg et al.
17 Missing wedge
18 In situ CT If we could only make 3D images out of these radiographs There are several difficulties: The position of source and detector is known only approximately There will always be only a limited number of projections
19 Optimal experimental design Best Optimal experimental design from 4 projections Worst Courtesy: P. Balazs
20 Dynamic angle selection Phantom SIRT reconstructions using 5 equiangular projections with different starting angles
21 Dynamic angle selection Phantom Standard Gap-angle Entropy-based Dynamic SIRT reconstructions using 5 projections selected using the corresponding approach starting from 2 (red) angles A. Dabravolski
22 Tomography of foodstuffs Online scanning
23 Tomography of foodstuffs 4D tomography (leavening, baking, foam evolution, ) 10/04/
24 Motion correction for chest tomosynthesis Project goal: better visualization of lung nodules in tomosynthesis reconstructions Improve resolution ( reduce X-ray dose) Correct motion artifacts (due to patient breathing or unknown modality movement) X-ray projections reconstruction patient detector 24
25 Superresolution Filtered Backprojection 2x sinogram upsampling [256x256x256] DART 4x volume subsampling [512x512x256] W. Van Aarle
26 Superresolution License plate reconstruction In collaboration with Traficon DART reconstruction Low resolution images K. Zarei, et al, "DART: a new approach for superresolution reconstruction of license plates", Journal of Electronic Imaging, 22(4), 2013
27 Reconstructed Residual Error Segmented SIRT PDART
28 Dynamic imaging High dose Low dose Low dose G. Van Eyndhoven
29 The ASTRA Tomography Toolbox Toolbox of high-performance GPU primitives for 2D and 3D tomography Highly efficient implementation in C++ and CUDA Available for Windows and Linux Wrappers for MATLAB and Python Support for different geometries 2D parallel and fan beam geometries 3D parallel and cone beam geometries Support for many algorithms FBP, SIRT, SART, CGLS, DART, etc.
30 ASTRA Toolbox advanced features Forward and back projector can be called separately, to enable building new algorithms Vector based specification of geometries Allows unrestricted source/detector positioning Allows using superresolution Can generate algebraic system matrix from a given geometry Free download:
31 Shadow art G. Van Eyndhoven
32 Shadow art
33 Shadow art
34 Thank you The end
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