Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-shot Echo Planar Imaging

Iñaki Rabanillo; Santiago Sanz-Estébanez; Santiago Aja-Fernández; Joseph Hajnal; Carlos Alberola-López; Lucilio Cordero-Grande

doi:10.1007/978-3-030-05831-9_2

Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-shot Echo Planar Imaging

Iñaki Rabanillo^*, Santiago Sanz-Estébanez, Santiago Aja-Fernández, Joseph Hajnal, Carlos Alberola-López, Lucilio Cordero-Grande

^*Corresponding author for this work

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

2 Citations (Scopus)

18 Downloads (Pure)

Abstract

Multishot echo-planar imaging is a common strategy in diffusion Magnetic Resonance Imaging to reduce the artifacts caused by the long echo-trains in single-shot acquisitions. However, it suffers from shot-to-shot phase discrepancies associated to subject motion, which can notably degrade the quality of the reconstructed image. Consequently, some type of motion-induced phases error correction needs to be incorporated into the reconstruction process. In this paper we focus on ridig motion induced errors, which have proved to corrupt the shots with linear phase maps. By incorporating this prior knowledge, we propose a maximum likelihood formulation that estimates both the parameters that characterize the linear phase maps and the reconstructed image. In order to make the problem tractable, we follow a greedy iterative procedure that alternates between the estimation of each of them. Simulation data are used to illustrate the performance of the method against state-of-the-art alternatives.

Original language	English
Title of host publication	International Conference on Medical Image Computing and Computer-Assisted Intervention
Subtitle of host publication	Computational Diffusion MRI
Pages	19-27
Number of pages	9
Edition	226249
DOIs	https://doi.org/10.1007/978-3-030-05831-9_2
Publication status	Published - 3 May 2019
Event	International Workshop on Computational Diffusion MRI, CDMRI 2018 held with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 - Granada, Spain Duration: 20 Sept 2018 → 20 Sept 2018

Publication series

Name	Mathematics and Visualization
ISSN (Print)	1612-3786

Conference

Conference	International Workshop on Computational Diffusion MRI, CDMRI 2018 held with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018
Country/Territory	Spain
City	Granada
Period	20/09/2018 → 20/09/2018

Keywords

Magnetic resonance image reconstruction
Motion-induced phase error
Multi-shot EPI
Parallel imaging

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10.1007/978-3-030-05831-9_2

2018 - Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-Shot Echo Planar Imaging_DRAFTAccepted author manuscript, 341 KBLicence: Unspecified

Cite this

Rabanillo, I., Sanz-Estébanez, S., Aja-Fernández, S., Hajnal, J., Alberola-López, C., & Cordero-Grande, L. (2019). Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-shot Echo Planar Imaging. In International Conference on Medical Image Computing and Computer-Assisted Intervention: Computational Diffusion MRI (226249 ed., pp. 19-27). (Mathematics and Visualization). https://doi.org/10.1007/978-3-030-05831-9_2

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abstract = "Multishot echo-planar imaging is a common strategy in diffusion Magnetic Resonance Imaging to reduce the artifacts caused by the long echo-trains in single-shot acquisitions. However, it suffers from shot-to-shot phase discrepancies associated to subject motion, which can notably degrade the quality of the reconstructed image. Consequently, some type of motion-induced phases error correction needs to be incorporated into the reconstruction process. In this paper we focus on ridig motion induced errors, which have proved to corrupt the shots with linear phase maps. By incorporating this prior knowledge, we propose a maximum likelihood formulation that estimates both the parameters that characterize the linear phase maps and the reconstructed image. In order to make the problem tractable, we follow a greedy iterative procedure that alternates between the estimation of each of them. Simulation data are used to illustrate the performance of the method against state-of-the-art alternatives.",

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Rabanillo, I, Sanz-Estébanez, S, Aja-Fernández, S, Hajnal, J, Alberola-López, C & Cordero-Grande, L 2019, Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-shot Echo Planar Imaging. in International Conference on Medical Image Computing and Computer-Assisted Intervention: Computational Diffusion MRI. 226249 edn, Mathematics and Visualization, pp. 19-27, International Workshop on Computational Diffusion MRI, CDMRI 2018 held with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, Spain, 20/09/2018. https://doi.org/10.1007/978-3-030-05831-9_2

Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-shot Echo Planar Imaging. / Rabanillo, Iñaki; Sanz-Estébanez, Santiago; Aja-Fernández, Santiago et al.
International Conference on Medical Image Computing and Computer-Assisted Intervention: Computational Diffusion MRI. 226249. ed. 2019. p. 19-27 (Mathematics and Visualization).

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

TY - CHAP

T1 - Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-shot Echo Planar Imaging

AU - Rabanillo, Iñaki

AU - Sanz-Estébanez, Santiago

AU - Aja-Fernández, Santiago

AU - Hajnal, Joseph

AU - Alberola-López, Carlos

AU - Cordero-Grande, Lucilio

PY - 2019/5/3

Y1 - 2019/5/3

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AB - Multishot echo-planar imaging is a common strategy in diffusion Magnetic Resonance Imaging to reduce the artifacts caused by the long echo-trains in single-shot acquisitions. However, it suffers from shot-to-shot phase discrepancies associated to subject motion, which can notably degrade the quality of the reconstructed image. Consequently, some type of motion-induced phases error correction needs to be incorporated into the reconstruction process. In this paper we focus on ridig motion induced errors, which have proved to corrupt the shots with linear phase maps. By incorporating this prior knowledge, we propose a maximum likelihood formulation that estimates both the parameters that characterize the linear phase maps and the reconstructed image. In order to make the problem tractable, we follow a greedy iterative procedure that alternates between the estimation of each of them. Simulation data are used to illustrate the performance of the method against state-of-the-art alternatives.

KW - Magnetic resonance image reconstruction

KW - Motion-induced phase error

KW - Multi-shot EPI

KW - Parallel imaging

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T3 - Mathematics and Visualization

SP - 19

EP - 27

BT - International Conference on Medical Image Computing and Computer-Assisted Intervention

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Y2 - 20 September 2018 through 20 September 2018

ER -

Rabanillo I, Sanz-Estébanez S, Aja-Fernández S, Hajnal J, Alberola-López C, Cordero-Grande L. Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-shot Echo Planar Imaging. In International Conference on Medical Image Computing and Computer-Assisted Intervention: Computational Diffusion MRI. 226249 ed. 2019. p. 19-27. (Mathematics and Visualization). doi: 10.1007/978-3-030-05831-9_2

Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-shot Echo Planar Imaging

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