4D respiratory motion-compensated image reconstruction of free-breathing radial MR data with very high undersampling

• Verfasst von: Rank, Christopher M. [VerfasserIn]
• Verfasst von: Buzan, Maria Teodora [VerfasserIn]
• Verfasst von: Dinkel, Julien [VerfasserIn]
• Titel: 4D respiratory motion-compensated image reconstruction of free-breathing radial MR data with very high undersampling
• Verf.angabe: Christopher M. Rank, Thorsten Heußer, Maria T.A. Buzan, Andreas Wetscherek, Martin T. Freitag, Julien Dinkel, and Marc Kachelrieß
• Jahr: 2017
• Jahr des Originals: 2016
• Umfang: 14 S.
• Teil: volume:77
• Teil: year:2017
• Teil: number:3
• Teil: pages:1170-1183
• Teil: extent:14
• Fussnoten: Published online 16 March 2016 ; Gesehen am 19.10.2018
• Titel Quelle: Enthalten in: Magnetic resonance in medicine
• Ort Quelle: New York, NY [u.a.] : Wiley-Liss, 1984
• Jahr Quelle: 2017
• Band/Heft Quelle: 77(2017), 3, Seite 1170-1183
• ISSN Quelle: 1522-2594
• DOI: doi:10.1002/mrm.26206
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: 4D MRI
• Sach-SW: joint estimation
• Sach-SW: radial sampling
• Sach-SW: respiratory motion compensation
• Sach-SW: undersampling
• K10plus-PPN: 1582124884

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