Blind Sparse Motion MRI with Linear Subpixel Interpolation

Anita Möller; Marco Maaß; Alfred Mertins

doi:10.1007/978-3-662-46224-9_87

Blind Sparse Motion MRI with Linear Subpixel Interpolation

Anita Möller, Marco Maaß, Alfred Mertins

Institute of Signal Processing

Abstract

Vital and spontaneous motion causes major artifacts in MRI. In this paper a method is presented which reduces subpixel motion artifacts via computational post processing on a complete MR scan without additional data. On the compressed sparse MRI representation, translational subpixel motion is estimated iteratively from a fully sampled, but motion corrupted k-space, and motion free images are reconstructed by linear interpolation. Motion adjusted results are presented for the Shepp-Logan phantom and brainweb data.

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2015
Editors	Heinz Handels, Thomas Martin Deserno, Hans-Peter Meinzer, Thomas Tolxdorff
Number of pages	6
Place of Publication	Berlin, Heidelberg
Publisher	Springer Berlin Heidelberg
Publication date	25.02.2015
Pages	510-515
ISBN (Print)	978-3-662-46223-2
ISBN (Electronic)	978-3-662-46224-9
DOIs	https://doi.org/10.1007/978-3-662-46224-9_87
Publication status	Published - 25.02.2015
Event	Workshop on Bildverarbeitung fur die Medizin 2015 - Universität zu Lübeck, Lübeck, Germany Duration: 15.03.2015 → 17.03.2015

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10.1007/978-3-662-46224-9_87

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title = "Blind Sparse Motion MRI with Linear Subpixel Interpolation",

abstract = "Vital and spontaneous motion causes major artifacts in MRI. In this paper a method is presented which reduces subpixel motion artifacts via computational post processing on a complete MR scan without additional data. On the compressed sparse MRI representation, translational subpixel motion is estimated iteratively from a fully sampled, but motion corrupted k-space, and motion free images are reconstructed by linear interpolation. Motion adjusted results are presented for the Shepp-Logan phantom and brainweb data.",

author = "Anita M{\"o}ller and Marco Maa{\ss} and Alfred Mertins",

year = "2015",

month = feb,

day = "25",

doi = "10.1007/978-3-662-46224-9_87",

language = "English",

isbn = "978-3-662-46223-2",

series = " Informatik aktuell ",

publisher = "Springer Berlin Heidelberg",

pages = "510--515",

editor = "Heinz Handels and Deserno, {Thomas Martin} and Hans-Peter Meinzer and Thomas Tolxdorff",

booktitle = "Bildverarbeitung f{\"u}r die Medizin 2015",

note = "Workshop on Bildverarbeitung fur die Medizin 2015 ; Conference date: 15-03-2015 Through 17-03-2015",

}

Möller, A, Maaß, M & Mertins, A 2015, Blind Sparse Motion MRI with Linear Subpixel Interpolation. in H Handels, TM Deserno, H-P Meinzer & T Tolxdorff (eds), Bildverarbeitung für die Medizin 2015. Informatik aktuell , Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 510-515, Workshop on Bildverarbeitung fur die Medizin 2015, Lübeck, Germany, 15.03.15. https://doi.org/10.1007/978-3-662-46224-9_87

Blind Sparse Motion MRI with Linear Subpixel Interpolation. / Möller, Anita; Maaß, Marco ; Mertins, Alfred.
Bildverarbeitung für die Medizin 2015. ed. / Heinz Handels; Thomas Martin Deserno; Hans-Peter Meinzer; Thomas Tolxdorff. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. p. 510-515 ( Informatik aktuell ).

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

TY - GEN

T1 - Blind Sparse Motion MRI with Linear Subpixel Interpolation

AU - Möller, Anita

AU - Maaß, Marco

AU - Mertins, Alfred

PY - 2015/2/25

Y1 - 2015/2/25

N2 - Vital and spontaneous motion causes major artifacts in MRI. In this paper a method is presented which reduces subpixel motion artifacts via computational post processing on a complete MR scan without additional data. On the compressed sparse MRI representation, translational subpixel motion is estimated iteratively from a fully sampled, but motion corrupted k-space, and motion free images are reconstructed by linear interpolation. Motion adjusted results are presented for the Shepp-Logan phantom and brainweb data.

AB - Vital and spontaneous motion causes major artifacts in MRI. In this paper a method is presented which reduces subpixel motion artifacts via computational post processing on a complete MR scan without additional data. On the compressed sparse MRI representation, translational subpixel motion is estimated iteratively from a fully sampled, but motion corrupted k-space, and motion free images are reconstructed by linear interpolation. Motion adjusted results are presented for the Shepp-Logan phantom and brainweb data.

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U2 - 10.1007/978-3-662-46224-9_87

DO - 10.1007/978-3-662-46224-9_87

M3 - Conference contribution

SN - 978-3-662-46223-2

T3 - Informatik aktuell

SP - 510

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BT - Bildverarbeitung für die Medizin 2015

A2 - Handels, Heinz

A2 - Deserno, Thomas Martin

A2 - Meinzer, Hans-Peter

A2 - Tolxdorff, Thomas

PB - Springer Berlin Heidelberg

CY - Berlin, Heidelberg

T2 - Workshop on Bildverarbeitung fur die Medizin 2015

Y2 - 15 March 2015 through 17 March 2015

ER -

Blind Sparse Motion MRI with Linear Subpixel Interpolation

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