Blind Rigid Motion Estimation for Arbitrary MRI Sampling Trajectories

Anita Möller; Marco Maass; Tim J. Parbs; Alfred Mertins

doi:10.1007/978-3-658-25326-4_28

Blind Rigid Motion Estimation for Arbitrary MRI Sampling Trajectories

Anita Möller^*, Marco Maass, Tim J. Parbs, Alfred Mertins

^*Corresponding author for this work

Institute of Signal Processing

Abstract

In this publication, a new blind motion correction algorithm for magnetic resonance imaging for arbitrary sampling trajectories is presented. Patient motion during partial measurements is estimated. Exploiting the image design, a sparse approximation of the reconstructed image is calculated with the alternating direction method of multipliers. The approximation is used with gradient descent methods with derivatives of a rigid motion model to estimate the motion and extract it from the measured data. Adapted gridding is performed in the end to receive reconstruction images without motion artifacts.

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2019
Editors	Heinz Handels, Thomas M. Deserno, Andreas Maier, Klaus Hermann Maier-Hein, Christoph Palm, Thomas Tolxdorff
Number of pages	6
Publisher	Springer Vieweg, Wiesbaden
Publication date	07.02.2019
Pages	128-133
ISBN (Print)	978-3-658-25325-7
ISBN (Electronic)	978-3-658-25326-4
DOIs	https://doi.org/10.1007/978-3-658-25326-4_28
Publication status	Published - 07.02.2019
Event	Workshop on Bildverarbeitung fur die Medizin 2019 - Lübeck, Germany Duration: 17.03.2019 → 19.03.2019 Conference number: 224899

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10.1007/978-3-658-25326-4_28

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Möller, A., Maass, M., Parbs, T. J., & Mertins, A. (2019). Blind Rigid Motion Estimation for Arbitrary MRI Sampling Trajectories. In H. Handels, T. M. Deserno, A. Maier, K. Hermann Maier-Hein, C. Palm, & T. Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2019 (pp. 128-133). (Informatik aktuell). Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-25326-4_28

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title = "Blind Rigid Motion Estimation for Arbitrary MRI Sampling Trajectories",

abstract = "In this publication, a new blind motion correction algorithm for magnetic resonance imaging for arbitrary sampling trajectories is presented. Patient motion during partial measurements is estimated. Exploiting the image design, a sparse approximation of the reconstructed image is calculated with the alternating direction method of multipliers. The approximation is used with gradient descent methods with derivatives of a rigid motion model to estimate the motion and extract it from the measured data. Adapted gridding is performed in the end to receive reconstruction images without motion artifacts.",

author = "Anita M{\"o}ller and Marco Maass and Parbs, {Tim J.} and Alfred Mertins",

note = "Funding Information: Acknowledgement. This work has been supported by the German Research Foundation under Grant No. ME 1170/11-1. Publisher Copyright: {\textcopyright} 2019, Springer Berlin Heidelberg. All rights reserved. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; Workshop on Bildverarbeitung fur die Medizin 2019 ; Conference date: 17-03-2019 Through 19-03-2019",

year = "2019",

month = feb,

day = "7",

doi = "10.1007/978-3-658-25326-4_28",

language = "English",

isbn = "978-3-658-25325-7",

series = "Informatik aktuell",

publisher = "Springer Vieweg, Wiesbaden",

pages = "128--133",

editor = "Handels, {Heinz } and {M. Deserno}, {Thomas } and Maier, {Andreas } and {Hermann Maier-Hein}, {Klaus } and Palm, {Christoph } and Tolxdorff, {Thomas }",

booktitle = "Bildverarbeitung f{\"u}r die Medizin 2019",

}

Möller, A, Maass, M , Parbs, TJ & Mertins, A 2019, Blind Rigid Motion Estimation for Arbitrary MRI Sampling Trajectories. in H Handels, T M. Deserno, A Maier, K Hermann Maier-Hein, C Palm & T Tolxdorff (eds), Bildverarbeitung für die Medizin 2019. Informatik aktuell, Springer Vieweg, Wiesbaden, pp. 128-133, Workshop on Bildverarbeitung fur die Medizin 2019 , Lübeck, Schleswig-Holstein, Germany, 17.03.19. https://doi.org/10.1007/978-3-658-25326-4_28

Blind Rigid Motion Estimation for Arbitrary MRI Sampling Trajectories. / Möller, Anita; Maass, Marco ; Parbs, Tim J. et al.
Bildverarbeitung für die Medizin 2019. ed. / Heinz Handels; Thomas M. Deserno; Andreas Maier; Klaus Hermann Maier-Hein; Christoph Palm; Thomas Tolxdorff. Springer Vieweg, Wiesbaden, 2019. p. 128-133 (Informatik aktuell).

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

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AU - Maass, Marco

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AU - Mertins, Alfred

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PY - 2019/2/7

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N2 - In this publication, a new blind motion correction algorithm for magnetic resonance imaging for arbitrary sampling trajectories is presented. Patient motion during partial measurements is estimated. Exploiting the image design, a sparse approximation of the reconstructed image is calculated with the alternating direction method of multipliers. The approximation is used with gradient descent methods with derivatives of a rigid motion model to estimate the motion and extract it from the measured data. Adapted gridding is performed in the end to receive reconstruction images without motion artifacts.

AB - In this publication, a new blind motion correction algorithm for magnetic resonance imaging for arbitrary sampling trajectories is presented. Patient motion during partial measurements is estimated. Exploiting the image design, a sparse approximation of the reconstructed image is calculated with the alternating direction method of multipliers. The approximation is used with gradient descent methods with derivatives of a rigid motion model to estimate the motion and extract it from the measured data. Adapted gridding is performed in the end to receive reconstruction images without motion artifacts.

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DO - 10.1007/978-3-658-25326-4_28

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SN - 978-3-658-25325-7

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EP - 133

BT - Bildverarbeitung für die Medizin 2019

A2 - Handels, Heinz

A2 - M. Deserno, Thomas

A2 - Maier, Andreas

A2 - Hermann Maier-Hein, Klaus

A2 - Palm, Christoph

A2 - Tolxdorff, Thomas

PB - Springer Vieweg, Wiesbaden

T2 - Workshop on Bildverarbeitung fur die Medizin 2019

Y2 - 17 March 2019 through 19 March 2019

ER -

Blind Rigid Motion Estimation for Arbitrary MRI Sampling Trajectories

Abstract

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