4D respiratory motion-compensated image reconstruction of free-breathing radial MR data with very high undersampling
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 moti...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2017
|
| In: |
Magnetic resonance in medicine
Year: 2016, Jahrgang: 77, Heft: 3, Pages: 1170-1183 |
| ISSN: | 1522-2594 |
| DOI: | 10.1002/mrm.26206 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1002/mrm.26206 Verlag, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.26206 
|
| Verfasserangaben: | Christopher M. Rank, Thorsten Heußer, Maria T.A. Buzan, Andreas Wetscherek, Martin T. Freitag, Julien Dinkel, and Marc Kachelrieß |
| Zusammenfassung: | 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 |
|---|---|
| Beschreibung: | Published online 16 March 2016 Gesehen am 19.10.2018 |
| Beschreibung: | Online Resource |
| ISSN: | 1522-2594 |
| DOI: | 10.1002/mrm.26206 |