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

5 Citations (Scopus)

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

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

Cite this

@inproceedings{0b84035b30f9435ba0d9e74c6d2578a0,

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.

UR - https://www.scopus.com/pages/publications/85012164052

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

EP - 515

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

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this