Make the Most of Time Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT

Viktor Haase; Oliver Taubmann; Yixing Huang; Gregor Krings; Günter Lauritsch; Andreas Maier; Alfred Mertins

doi:10.1007/978-3-662-49465-3_31

Make the Most of Time Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT

Viktor Haase, Oliver Taubmann, Yixing Huang, Gregor Krings, Günter Lauritsch, Andreas Maier, Alfred Mertins

Institute of Signal Processing

Abstract

Gated 4D cardiac imaging with C-arm CT scanners suffers from insufficient image quality due to strong angular undersampling. To deal with this problem, we suggest an iterative reconstruction method with spatial and temporal total variation regularization based on an established framework which controls the relative contributions of raw data error minimization and regularization. This new method is tested on a simulated heart phantom and on two clinical data sets. We show that the additional use of temporal regularization is advantageous compared to spatial regularization exclusively, with the relative root mean square error lowered from 11.75 % to 8.24 % in the phantom study.

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2016
Editors	Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Hans-Peter Meinzer
Number of pages	6
Publisher	Springer Verlag
Publication date	01.03.2017
Pages	170-175
ISBN (Print)	978-3-662-49464-6
ISBN (Electronic)	978-3-662-49465-3
DOIs	https://doi.org/10.1007/978-3-662-49465-3_31
Publication status	Published - 01.03.2017
Event	Workshop on Bildverarbeitung fur die Medizin 2016 - Berlin, Germany Duration: 13.03.2016 → 15.03.2016

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10.1007/978-3-662-49465-3_31

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Haase, V., Taubmann, O., Huang, Y., Krings, G., Lauritsch, G., Maier, A., & Mertins, A. (2017). Make the Most of Time Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT. In T. Tolxdorff, T. M. Deserno, H. Handels, & H.-P. Meinzer (Eds.), Bildverarbeitung für die Medizin 2016 (pp. 170-175). ( Informatik aktuell ). Springer Verlag. https://doi.org/10.1007/978-3-662-49465-3_31

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title = "Make the Most of Time Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT",

abstract = "Gated 4D cardiac imaging with C-arm CT scanners suffers from insufficient image quality due to strong angular undersampling. To deal with this problem, we suggest an iterative reconstruction method with spatial and temporal total variation regularization based on an established framework which controls the relative contributions of raw data error minimization and regularization. This new method is tested on a simulated heart phantom and on two clinical data sets. We show that the additional use of temporal regularization is advantageous compared to spatial regularization exclusively, with the relative root mean square error lowered from 11.75 % to 8.24 % in the phantom study.",

author = "Viktor Haase and Oliver Taubmann and Yixing Huang and Gregor Krings and G{\"u}nter Lauritsch and Andreas Maier and Alfred Mertins",

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doi = "10.1007/978-3-662-49465-3_31",

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note = "Workshop on Bildverarbeitung fur die Medizin 2016<br/> ; Conference date: 13-03-2016 Through 15-03-2016",

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Haase, V, Taubmann, O, Huang, Y, Krings, G, Lauritsch, G, Maier, A & Mertins, A 2017, Make the Most of Time Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT. in T Tolxdorff, TM Deserno, H Handels & H-P Meinzer (eds), Bildverarbeitung für die Medizin 2016. Informatik aktuell , Springer Verlag, pp. 170-175, Workshop on Bildverarbeitung fur die Medizin 2016
, Berlin, Germany, 13.03.16. https://doi.org/10.1007/978-3-662-49465-3_31

Make the Most of Time Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT. / Haase, Viktor; Taubmann, Oliver; Huang, Yixing et al.
Bildverarbeitung für die Medizin 2016. ed. / Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Hans-Peter Meinzer. Springer Verlag, 2017. p. 170-175 ( Informatik aktuell ).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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AU - Maier, Andreas

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N2 - Gated 4D cardiac imaging with C-arm CT scanners suffers from insufficient image quality due to strong angular undersampling. To deal with this problem, we suggest an iterative reconstruction method with spatial and temporal total variation regularization based on an established framework which controls the relative contributions of raw data error minimization and regularization. This new method is tested on a simulated heart phantom and on two clinical data sets. We show that the additional use of temporal regularization is advantageous compared to spatial regularization exclusively, with the relative root mean square error lowered from 11.75 % to 8.24 % in the phantom study.

AB - Gated 4D cardiac imaging with C-arm CT scanners suffers from insufficient image quality due to strong angular undersampling. To deal with this problem, we suggest an iterative reconstruction method with spatial and temporal total variation regularization based on an established framework which controls the relative contributions of raw data error minimization and regularization. This new method is tested on a simulated heart phantom and on two clinical data sets. We show that the additional use of temporal regularization is advantageous compared to spatial regularization exclusively, with the relative root mean square error lowered from 11.75 % to 8.24 % in the phantom study.

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BT - Bildverarbeitung für die Medizin 2016

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A2 - Deserno, Thomas M.

A2 - Handels, Heinz

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ER -

Make the Most of Time Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT

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