Reconstruction method by using sparse and low-rank structures for fast 4D-MRI acquisition

Yukinojo Kitakami; Takashi Ohnishi; Yoshitada Masuda; Koji Matsumoto; Hideaki Haneishi

doi:10.1007/978-3-319-13692-9_26

Reconstruction method by using sparse and low-rank structures for fast 4D-MRI acquisition

Yukinojo Kitakami, Takashi Ohnishi, Yoshitada Masuda, Koji Matsumoto, Hideaki Haneishi

Chiba University

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

Abstract

Previously, we proposed a method for reconstructing 4D-MRI of thoracoabdominal organs that can visualize and quantify the three-dimensional dynamics of organs due to respiration. However, the data acquisition time of the method is long, say, 30 min. In this study, we assume an interleave acquisition of images with a smaller number of the encoding in the k-space to shorten the data acquisition time. We also propose to use a reconstruction technique named k-t SLR that utilizes sparse and low rank structures of the data matrix to avoid image degradation due to the small number of data acquisition. We performed a simulation experiment where we regarded 4D-MR images by our previous method as ideal images, generated down sampled data in k-space, and applied k-t SLR reconstruction to those data. We evaluated the resultant images from three viewpoints and confirmed that the combination of fast data collection with a small number of encoding and the subsequent k-t SLR reconstruction can produce high quality MR images.

Original language	English
Title of host publication	Abdominal Imaging
Subtitle of host publication	Computational and Clinical Applications - 6th International Workshop, ABDI 2014 held in conjunction with MICCAI 2014
Editors	Hiroyuki Yoshida, Janne J. Näppi, Sanjay Saini
Publisher	Springer Verlag
Pages	269-277
Number of pages	9
ISBN (Electronic)	9783319136912
DOIs	https://doi.org/10.1007/978-3-319-13692-9_26
Publication status	Published - 2014
Externally published	Yes
Event	6th International Workshop on Abdominal Imaging: Computational and Clinical Applications, ABDI 2014 held in conjunction with 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - Cambridge, United States Duration: 14 Sept 2014 → 14 Sept 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8676
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Workshop on Abdominal Imaging: Computational and Clinical Applications, ABDI 2014 held in conjunction with 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014
Country/Territory	United States
City	Cambridge
Period	14/09/14 → 14/09/14

Keywords

4D-MRI
Compressive sensing
Image reconstruction
K-t SLR
Low-rank structure
Sparseness

Access to Document

10.1007/978-3-319-13692-9_26

Cite this

Kitakami, Y., Ohnishi, T., Masuda, Y., Matsumoto, K., & Haneishi, H. (2014). Reconstruction method by using sparse and low-rank structures for fast 4D-MRI acquisition. In H. Yoshida, J. J. Näppi, & S. Saini (Eds.), Abdominal Imaging: Computational and Clinical Applications - 6th International Workshop, ABDI 2014 held in conjunction with MICCAI 2014 (pp. 269-277). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8676). Springer Verlag. https://doi.org/10.1007/978-3-319-13692-9_26

Kitakami, Yukinojo ; Ohnishi, Takashi ; Masuda, Yoshitada et al. / Reconstruction method by using sparse and low-rank structures for fast 4D-MRI acquisition. Abdominal Imaging: Computational and Clinical Applications - 6th International Workshop, ABDI 2014 held in conjunction with MICCAI 2014. editor / Hiroyuki Yoshida ; Janne J. Näppi ; Sanjay Saini. Springer Verlag, 2014. pp. 269-277 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{251e2e43fa224970af92c8055e72fa0d,

title = "Reconstruction method by using sparse and low-rank structures for fast 4D-MRI acquisition",

abstract = "Previously, we proposed a method for reconstructing 4D-MRI of thoracoabdominal organs that can visualize and quantify the three-dimensional dynamics of organs due to respiration. However, the data acquisition time of the method is long, say, 30 min. In this study, we assume an interleave acquisition of images with a smaller number of the encoding in the k-space to shorten the data acquisition time. We also propose to use a reconstruction technique named k-t SLR that utilizes sparse and low rank structures of the data matrix to avoid image degradation due to the small number of data acquisition. We performed a simulation experiment where we regarded 4D-MR images by our previous method as ideal images, generated down sampled data in k-space, and applied k-t SLR reconstruction to those data. We evaluated the resultant images from three viewpoints and confirmed that the combination of fast data collection with a small number of encoding and the subsequent k-t SLR reconstruction can produce high quality MR images.",

keywords = "4D-MRI, Compressive sensing, Image reconstruction, K-t SLR, Low-rank structure, Sparseness",

author = "Yukinojo Kitakami and Takashi Ohnishi and Yoshitada Masuda and Koji Matsumoto and Hideaki Haneishi",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 6th International Workshop on Abdominal Imaging: Computational and Clinical Applications, ABDI 2014 held in conjunction with 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 ; Conference date: 14-09-2014 Through 14-09-2014",

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Kitakami, Y, Ohnishi, T, Masuda, Y, Matsumoto, K & Haneishi, H 2014, Reconstruction method by using sparse and low-rank structures for fast 4D-MRI acquisition. in H Yoshida, JJ Näppi & S Saini (eds), Abdominal Imaging: Computational and Clinical Applications - 6th International Workshop, ABDI 2014 held in conjunction with MICCAI 2014. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8676, Springer Verlag, pp. 269-277, 6th International Workshop on Abdominal Imaging: Computational and Clinical Applications, ABDI 2014 held in conjunction with 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, Cambridge, United States, 14/09/14. https://doi.org/10.1007/978-3-319-13692-9_26

Reconstruction method by using sparse and low-rank structures for fast 4D-MRI acquisition. / Kitakami, Yukinojo; Ohnishi, Takashi; Masuda, Yoshitada et al.
Abdominal Imaging: Computational and Clinical Applications - 6th International Workshop, ABDI 2014 held in conjunction with MICCAI 2014. ed. / Hiroyuki Yoshida; Janne J. Näppi; Sanjay Saini. Springer Verlag, 2014. p. 269-277 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8676).

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

TY - GEN

T1 - Reconstruction method by using sparse and low-rank structures for fast 4D-MRI acquisition

AU - Kitakami, Yukinojo

AU - Ohnishi, Takashi

AU - Masuda, Yoshitada

AU - Matsumoto, Koji

AU - Haneishi, Hideaki

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2014.

PY - 2014

Y1 - 2014

N2 - Previously, we proposed a method for reconstructing 4D-MRI of thoracoabdominal organs that can visualize and quantify the three-dimensional dynamics of organs due to respiration. However, the data acquisition time of the method is long, say, 30 min. In this study, we assume an interleave acquisition of images with a smaller number of the encoding in the k-space to shorten the data acquisition time. We also propose to use a reconstruction technique named k-t SLR that utilizes sparse and low rank structures of the data matrix to avoid image degradation due to the small number of data acquisition. We performed a simulation experiment where we regarded 4D-MR images by our previous method as ideal images, generated down sampled data in k-space, and applied k-t SLR reconstruction to those data. We evaluated the resultant images from three viewpoints and confirmed that the combination of fast data collection with a small number of encoding and the subsequent k-t SLR reconstruction can produce high quality MR images.

AB - Previously, we proposed a method for reconstructing 4D-MRI of thoracoabdominal organs that can visualize and quantify the three-dimensional dynamics of organs due to respiration. However, the data acquisition time of the method is long, say, 30 min. In this study, we assume an interleave acquisition of images with a smaller number of the encoding in the k-space to shorten the data acquisition time. We also propose to use a reconstruction technique named k-t SLR that utilizes sparse and low rank structures of the data matrix to avoid image degradation due to the small number of data acquisition. We performed a simulation experiment where we regarded 4D-MR images by our previous method as ideal images, generated down sampled data in k-space, and applied k-t SLR reconstruction to those data. We evaluated the resultant images from three viewpoints and confirmed that the combination of fast data collection with a small number of encoding and the subsequent k-t SLR reconstruction can produce high quality MR images.

KW - 4D-MRI

KW - Compressive sensing

KW - Image reconstruction

KW - K-t SLR

KW - Low-rank structure

KW - Sparseness

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DO - 10.1007/978-3-319-13692-9_26

M3 - Conference contribution

AN - SCOPUS:84927592029

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 269

EP - 277

BT - Abdominal Imaging

A2 - Yoshida, Hiroyuki

A2 - Näppi, Janne J.

A2 - Saini, Sanjay

PB - Springer Verlag

T2 - 6th International Workshop on Abdominal Imaging: Computational and Clinical Applications, ABDI 2014 held in conjunction with 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014

Y2 - 14 September 2014 through 14 September 2014

ER -

Kitakami Y, Ohnishi T, Masuda Y, Matsumoto K, Haneishi H. Reconstruction method by using sparse and low-rank structures for fast 4D-MRI acquisition. In Yoshida H, Näppi JJ, Saini S, editors, Abdominal Imaging: Computational and Clinical Applications - 6th International Workshop, ABDI 2014 held in conjunction with MICCAI 2014. Springer Verlag. 2014. p. 269-277. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-13692-9_26

Reconstruction method by using sparse and low-rank structures for fast 4D-MRI acquisition

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