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4D respiratory motion-compensated image reconstruction of free-breathing radial MR data with very high undersampling.
Magn Reson Med. 2017 03; 77(3):1170-1183.MR

Abstract

PURPOSE

To develop four-dimensional (4D) respiratory time-resolved MRI based on free-breathing acquisition of radial MR data with very high undersampling.

METHODS

We propose the 4D joint motion-compensated high-dimensional total variation (4D joint MoCo-HDTV) algorithm, which alternates between motion-compensated image reconstruction and artifact-robust motion estimation at multiple resolution levels. The algorithm is applied to radial MR data of the thorax and upper abdomen of 12 free-breathing subjects with acquisition times between 37 and 41 s and undersampling factors of 16.8. Resulting images are compared with compressed sensing-based 4D motion-adaptive spatio-temporal regularization (MASTeR) and 4D high-dimensional total variation (HDTV) reconstructions.

RESULTS

For all subjects, 4D joint MoCo-HDTV achieves higher similarity in terms of normalized mutual information and cross-correlation than 4D MASTeR and 4D HDTV when compared with reference 4D gated gridding reconstructions with 8.4 ± 1.1 times longer acquisition times. In a qualitative assessment of artifact level and image sharpness by two radiologists, 4D joint MoCo-HDTV reveals higher scores (P < 0.05) than 4D HDTV and 4D MASTeR at the same undersampling factor and the reference 4D gated gridding reconstructions, respectively.

CONCLUSIONS

4D joint MoCo-HDTV enables time-resolved image reconstruction of free-breathing radial MR data with undersampling factors of 16.8 while achieving low-streak artifact levels and high image sharpness. Magn Reson Med 77:1170-1183, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Authors+Show Affiliations

Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.Department of Pneumology, Iuliu Hatieganu University of Medicine and Pharmacy, Hasdeu Str. 6, 400371, Cluj-Napoca, Romania. Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at Heidelberg University Hospital, Amalienstr. 5, 69126, Heidelberg, Germany. Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at Heidelberg University Hospital, Amalienstr. 5, 69126, Heidelberg, Germany. Translational Lung Research Center Heidelberg (TLRC), Member of the German Center for Lung Research (DZL), Im Neuenheimer Feld 430, 69120, Heidelberg, Germany. Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistraβe 15, 81377, Munich, Germany.Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.

Pub Type(s)

Evaluation Study
Journal Article

Language

eng

PubMed ID

26991911

Citation

Rank, Christopher M., et al. "4D Respiratory Motion-compensated Image Reconstruction of Free-breathing Radial MR Data With Very High Undersampling." Magnetic Resonance in Medicine, vol. 77, no. 3, 2017, pp. 1170-1183.
Rank CM, Heuβer T, Buzan MT, et al. 4D respiratory motion-compensated image reconstruction of free-breathing radial MR data with very high undersampling. Magn Reson Med. 2017;77(3):1170-1183.
Rank, C. M., Heuβer, T., Buzan, M. T., Wetscherek, A., Freitag, M. T., Dinkel, J., & Kachelrieβ, M. (2017). 4D respiratory motion-compensated image reconstruction of free-breathing radial MR data with very high undersampling. Magnetic Resonance in Medicine, 77(3), 1170-1183. https://doi.org/10.1002/mrm.26206
Rank CM, et al. 4D Respiratory Motion-compensated Image Reconstruction of Free-breathing Radial MR Data With Very High Undersampling. Magn Reson Med. 2017;77(3):1170-1183. PubMed PMID: 26991911.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - 4D respiratory motion-compensated image reconstruction of free-breathing radial MR data with very high undersampling. AU - Rank,Christopher M, AU - Heuβer,Thorsten, AU - Buzan,Maria T A, AU - Wetscherek,Andreas, AU - Freitag,Martin T, AU - Dinkel,Julien, AU - Kachelrieβ,Marc, Y1 - 2016/03/16/ PY - 2015/10/12/received PY - 2016/02/16/revised PY - 2016/02/16/accepted PY - 2016/3/19/pubmed PY - 2017/12/27/medline PY - 2016/3/19/entrez KW - 4D MRI KW - joint estimation KW - radial sampling KW - respiratory motion compensation KW - undersampling SP - 1170 EP - 1183 JF - Magnetic resonance in medicine JO - Magn Reson Med VL - 77 IS - 3 N2 - PURPOSE: To develop four-dimensional (4D) respiratory time-resolved MRI based on free-breathing acquisition of radial MR data with very high undersampling. METHODS: We propose the 4D joint motion-compensated high-dimensional total variation (4D joint MoCo-HDTV) algorithm, which alternates between motion-compensated image reconstruction and artifact-robust motion estimation at multiple resolution levels. The algorithm is applied to radial MR data of the thorax and upper abdomen of 12 free-breathing subjects with acquisition times between 37 and 41 s and undersampling factors of 16.8. Resulting images are compared with compressed sensing-based 4D motion-adaptive spatio-temporal regularization (MASTeR) and 4D high-dimensional total variation (HDTV) reconstructions. RESULTS: For all subjects, 4D joint MoCo-HDTV achieves higher similarity in terms of normalized mutual information and cross-correlation than 4D MASTeR and 4D HDTV when compared with reference 4D gated gridding reconstructions with 8.4 ± 1.1 times longer acquisition times. In a qualitative assessment of artifact level and image sharpness by two radiologists, 4D joint MoCo-HDTV reveals higher scores (P < 0.05) than 4D HDTV and 4D MASTeR at the same undersampling factor and the reference 4D gated gridding reconstructions, respectively. CONCLUSIONS: 4D joint MoCo-HDTV enables time-resolved image reconstruction of free-breathing radial MR data with undersampling factors of 16.8 while achieving low-streak artifact levels and high image sharpness. Magn Reson Med 77:1170-1183, 2017. © 2016 International Society for Magnetic Resonance in Medicine. SN - 1522-2594 UR - https://www.unboundmedicine.com/medline/citation/26991911/4D_respiratory_motion_compensated_image_reconstruction_of_free_breathing_radial_MR_data_with_very_high_undersampling_ L2 - https://doi.org/10.1002/mrm.26206 DB - PRIME DP - Unbound Medicine ER -