A new in-line X-ray phase-contrast computed tomography reconstruction algorithm based on adaptive-weighted anisotropic TpV regularization for insufficient data

Zhao, Y.; Ji, D.; Chen, Y.; Jian, J.; Zhao, X.; Zhao, Q.; Lv, W.; Xin, X.; Yang, T.; Hu, C.

doi:10.1107/S1600577519005095

Journal of Synchrotron Radiation Journal of
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Figure 8
Reconstructed images of the human cirrhosis sample using the FBP (a) and (i), SART (b) and (j), AwTV-POCS (c) and (k), and AwaTpV-POCS (d) and (l) algorithms from 186-view projections under few-view condition and 414-view projections under limited-angle condition, respectively. Panels (e)–(h) are enlarged images in reconstructed images (a)–(d), respectively. Panels (m)–(p) are enlarged images in reconstructed images (i)–(l), respectively. The enlarged images were from the same regions in the reconstructed images, as marked with the green rectangle in Fig. 7(b)

. The blue rectangle with the size of 80 × 50 marks the fibrous tissue in cirrhosis sample, and the yellow rectangle with the size of 80 × 50 marks the liver parenchyma tissue in cirrhosis sample. The black arrows mark the fibrous tissue in cirrhosis sample. The pixel values of the above greyscale images were normalized to the range [0, 255]. The display window is [25, 225].

JOURNAL OF
SYNCHROTRON
RADIATION

ISSN: 1600-5775

Volume 26| Part 4| July 2019| Pages 1330-1342

https://doi.org/10.1107/S1600577519005095

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