Component-based TV regularization for X-ray tensor tomography

Saeed Seyyedi; Matthias Wieczorek; Yash Sharma; Florian Schaff; Christoph Jud; Franz Pfeiffer; Tobias Lasser

doi:10.1109/ISBI.2016.7493335

Component-based TV regularization for X-ray tensor tomography

Saeed Seyyedi, Matthias Wieczorek, Yash Sharma, Florian Schaff, Christoph Jud, Franz Pfeiffer, Tobias Lasser

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

Abstract

X-ray Tensor Tomography (XTT) is a recently developed imaging modality that provides reconstruction of X-ray scattering tensors from dark-field projections obtained in a grating interferometry setup. In this work we present a novel component-based total variation (TV) regularized reconstruction technique for XTT data. First results show promising qualitative improvements of the reconstructed tensors as well as reduced noise and reduced streak artifacts.

Original language	English
Title of host publication	2016 IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI 2016 - Proceedings
Editors	Boudewijn Lelieveldt, Karl Rohr
Place of Publication	Piscataway NJ USA
Publisher	IEEE Computer Society
Pages	581-584
Number of pages	4
Volume	2016-June
ISBN (Electronic)	9781479923502
DOIs	https://doi.org/10.1109/ISBI.2016.7493335
Publication status	Published - 15 Jun 2016
Externally published	Yes
Event	IEEE International Symposium on Biomedical Imaging (ISBI) 2016 - Clarion Congress Hotel, Prague, Czech Republic Duration: 13 Apr 2016 → 16 Apr 2016 Conference number: 13th

Conference

Conference	IEEE International Symposium on Biomedical Imaging (ISBI) 2016
Abbreviated title	ISBI 2016
Country	Czech Republic
City	Prague
Period	13/04/16 → 16/04/16
Other	The ISBI conference has been organized since 2002 and it continues to fulfill its role of bringing together researchers from the various fields that comprise biomedical imaging, such as biology, medicine,imaging technology, image processing, machine learning and many others.

Keywords

Computed Tomography
Sparse Regularization
Total Variation
X-ray Tensor Tomography

Access to Document

10.1109/ISBI.2016.7493335

Link to publication in Scopus

Cite this

Seyyedi, S., Wieczorek, M., Sharma, Y., Schaff, F., Jud, C., Pfeiffer, F., & Lasser, T. (2016). Component-based TV regularization for X-ray tensor tomography. In B. Lelieveldt, & K. Rohr (Eds.), 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings (Vol. 2016-June, pp. 581-584). [7493335] IEEE Computer Society. https://doi.org/10.1109/ISBI.2016.7493335

Seyyedi, Saeed ; Wieczorek, Matthias ; Sharma, Yash ; Schaff, Florian ; Jud, Christoph ; Pfeiffer, Franz ; Lasser, Tobias. / Component-based TV regularization for X-ray tensor tomography. 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. editor / Boudewijn Lelieveldt ; Karl Rohr. Vol. 2016-June Piscataway NJ USA : IEEE Computer Society, 2016. pp. 581-584

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abstract = "X-ray Tensor Tomography (XTT) is a recently developed imaging modality that provides reconstruction of X-ray scattering tensors from dark-field projections obtained in a grating interferometry setup. In this work we present a novel component-based total variation (TV) regularized reconstruction technique for XTT data. First results show promising qualitative improvements of the reconstructed tensors as well as reduced noise and reduced streak artifacts.",

keywords = "Computed Tomography, Sparse Regularization, Total Variation, X-ray Tensor Tomography",

author = "Saeed Seyyedi and Matthias Wieczorek and Yash Sharma and Florian Schaff and Christoph Jud and Franz Pfeiffer and Tobias Lasser",

year = "2016",

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booktitle = "2016 IEEE International Symposium on Biomedical Imaging",

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Seyyedi, S, Wieczorek, M, Sharma, Y, Schaff, F, Jud, C, Pfeiffer, F & Lasser, T 2016, Component-based TV regularization for X-ray tensor tomography. in B Lelieveldt & K Rohr (eds), 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. vol. 2016-June, 7493335, IEEE Computer Society, Piscataway NJ USA, pp. 581-584, IEEE International Symposium on Biomedical Imaging (ISBI) 2016, Prague, Czech Republic, 13/04/16. https://doi.org/10.1109/ISBI.2016.7493335

Component-based TV regularization for X-ray tensor tomography. / Seyyedi, Saeed; Wieczorek, Matthias; Sharma, Yash; Schaff, Florian; Jud, Christoph; Pfeiffer, Franz; Lasser, Tobias.

2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. ed. / Boudewijn Lelieveldt; Karl Rohr. Vol. 2016-June Piscataway NJ USA : IEEE Computer Society, 2016. p. 581-584 7493335.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Pfeiffer, Franz

AU - Lasser, Tobias

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Y1 - 2016/6/15

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AB - X-ray Tensor Tomography (XTT) is a recently developed imaging modality that provides reconstruction of X-ray scattering tensors from dark-field projections obtained in a grating interferometry setup. In this work we present a novel component-based total variation (TV) regularized reconstruction technique for XTT data. First results show promising qualitative improvements of the reconstructed tensors as well as reduced noise and reduced streak artifacts.

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Seyyedi S, Wieczorek M, Sharma Y, Schaff F, Jud C, Pfeiffer F et al. Component-based TV regularization for X-ray tensor tomography. In Lelieveldt B, Rohr K, editors, 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. Vol. 2016-June. Piscataway NJ USA: IEEE Computer Society. 2016. p. 581-584. 7493335 https://doi.org/10.1109/ISBI.2016.7493335