High-resolution tomographic imaging of a human cerebellum: comparison of absorption and grating-based
phase contrast
by Georg Schulz, Timm Weitkamp, Irene Zanette, Franz Pfeiffer, Felix Beckmann, Christian David, Simon Rutishauser, Elena Reznikova, and Bert Müller
InterfaceVolume 7(53):1665-1676
December 6, 2010
©2010 by The Royal Society
Top view of the experimental set-up consisting of the detector and the grating interferometer composed of a beam-splitter and an analyser grating.
Georg Schulz et al. J. R. Soc. Interface 2010;7:1665-1676
©2010 by The Royal Society
One reconstructed slice plus the appropriate histogram of the phase-contrast results showing three different strata and several blood vessels (bright regions in the slices that exceed the grey-
scale range) of the human cerebellum.
Georg Schulz et al. J. R. Soc. Interface 2010;7:1665-1676
©2010 by The Royal Society
Grating interferometry phase-contrast reconstruction with a grey-scale range corresponding to 34 standard deviations of the formalin peak (a) compared with accordant BW2 absorption-
contrast reconstruction with a grey-scale range corresponding to 34 (c) and ...
Georg Schulz et al. J. R. Soc. Interface 2010;7:1665-1676
©2010 by The Royal Society
A 100-fold binning of the phase-contrast results reveals the distinction of the spatial resolution between SRµCT and contemporary medical MRT. For that, we assumed a pixel size of 0.5 mm for
nowadays common medical high-resolution MR-results.
Georg Schulz et al. J. R. Soc. Interface 2010;7:1665-1676
©2010 by The Royal Society
For the calculation of the spatial resolution, the ratio between rSPstruc of a tomogram ROI with a fine structure and rSPback of a tomogram ROI with background (water) was plotted over spatial
frequency.
Georg Schulz et al. J. R. Soc. Interface 2010;7:1665-1676
©2010 by The Royal Society
The phase-contrast three-dimensional rendering of the whole specimen with a virtual cut through it (a,b) demonstrates the feasibility to segment one of the shown structures by simple intensity-
based segmentation.
Georg Schulz et al. J. R. Soc. Interface 2010;7:1665-1676
©2010 by The Royal Society