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Nonrigid groupwise registration for motion estimation and compensation in compressed sensing reconstruction of breath-hold cardiac cine MRI.
Magn Reson Med 2016; 75(4):1525-36MR

Abstract

PURPOSE

Compressed sensing methods with motion estimation and compensation techniques have been proposed for the reconstruction of accelerated dynamic MRI. However, artifacts that naturally arise in compressed sensing reconstruction procedures hinder the estimation of motion from reconstructed images, especially at high acceleration factors. This work introduces a robust groupwise nonrigid motion estimation technique applied to the compressed sensing reconstruction of dynamic cardiac cine MRI sequences.

THEORY AND METHODS

A spatio-temporal regularized, groupwise, nonrigid registration method based on a B-splines deformation model and a least squares metric is used to estimate and to compensate the movement of the heart in breath-hold cine acquisitions and to obtain a quasistatic sequence with highly sparse representation in temporally transformed domains.

RESULTS

Short axis in vivo datasets are used for validation, both original multicoil as well as DICOM data. Fully sampled data were retrospectively undersampled with various acceleration factors and reconstructions were compared with the two well-known methods k-t FOCUSS and MASTeR. The proposed method achieves higher signal to error ratio and structure similarity index for medium to high acceleration factors.

CONCLUSIONS

Reconstruction methods based on groupwise registration show higher quality reconstructions for cardiac cine images than the pairwise counterparts tested.

Authors+Show Affiliations

Image Processing Lab, Universidad de Valladolid, Valladolid, Spain.Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.Image Processing Lab, Universidad de Valladolid, Valladolid, Spain.Image Processing Lab, Universidad de Valladolid, Valladolid, Spain.Image Processing Lab, Universidad de Valladolid, Valladolid, Spain.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

25960151

Citation

Royuela-del-Val, Javier, et al. "Nonrigid Groupwise Registration for Motion Estimation and Compensation in Compressed Sensing Reconstruction of Breath-hold Cardiac Cine MRI." Magnetic Resonance in Medicine, vol. 75, no. 4, 2016, pp. 1525-36.
Royuela-del-Val J, Cordero-Grande L, Simmross-Wattenberg F, et al. Nonrigid groupwise registration for motion estimation and compensation in compressed sensing reconstruction of breath-hold cardiac cine MRI. Magn Reson Med. 2016;75(4):1525-36.
Royuela-del-Val, J., Cordero-Grande, L., Simmross-Wattenberg, F., Martín-Fernández, M., & Alberola-López, C. (2016). Nonrigid groupwise registration for motion estimation and compensation in compressed sensing reconstruction of breath-hold cardiac cine MRI. Magnetic Resonance in Medicine, 75(4), pp. 1525-36. doi:10.1002/mrm.25733.
Royuela-del-Val J, et al. Nonrigid Groupwise Registration for Motion Estimation and Compensation in Compressed Sensing Reconstruction of Breath-hold Cardiac Cine MRI. Magn Reson Med. 2016;75(4):1525-36. PubMed PMID: 25960151.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Nonrigid groupwise registration for motion estimation and compensation in compressed sensing reconstruction of breath-hold cardiac cine MRI. AU - Royuela-del-Val,Javier, AU - Cordero-Grande,Lucilio, AU - Simmross-Wattenberg,Federico, AU - Martín-Fernández,Marcos, AU - Alberola-López,Carlos, Y1 - 2015/05/11/ PY - 2014/07/25/received PY - 2015/03/19/revised PY - 2015/03/22/accepted PY - 2015/5/12/entrez PY - 2015/5/12/pubmed PY - 2016/12/15/medline KW - compressive sensing KW - dynamic MRI reconstruction KW - groupwise registration SP - 1525 EP - 36 JF - Magnetic resonance in medicine JO - Magn Reson Med VL - 75 IS - 4 N2 - PURPOSE: Compressed sensing methods with motion estimation and compensation techniques have been proposed for the reconstruction of accelerated dynamic MRI. However, artifacts that naturally arise in compressed sensing reconstruction procedures hinder the estimation of motion from reconstructed images, especially at high acceleration factors. This work introduces a robust groupwise nonrigid motion estimation technique applied to the compressed sensing reconstruction of dynamic cardiac cine MRI sequences. THEORY AND METHODS: A spatio-temporal regularized, groupwise, nonrigid registration method based on a B-splines deformation model and a least squares metric is used to estimate and to compensate the movement of the heart in breath-hold cine acquisitions and to obtain a quasistatic sequence with highly sparse representation in temporally transformed domains. RESULTS: Short axis in vivo datasets are used for validation, both original multicoil as well as DICOM data. Fully sampled data were retrospectively undersampled with various acceleration factors and reconstructions were compared with the two well-known methods k-t FOCUSS and MASTeR. The proposed method achieves higher signal to error ratio and structure similarity index for medium to high acceleration factors. CONCLUSIONS: Reconstruction methods based on groupwise registration show higher quality reconstructions for cardiac cine images than the pairwise counterparts tested. SN - 1522-2594 UR - https://www.unboundmedicine.com/medline/citation/25960151/Nonrigid_groupwise_registration_for_motion_estimation_and_compensation_in_compressed_sensing_reconstruction_of_breath_hold_cardiac_cine_MRI_ L2 - https://doi.org/10.1002/mrm.25733 DB - PRIME DP - Unbound Medicine ER -