Home > Publications database > 4D respiratory motion-compensated image reconstruction of free-breathing radial MR data with very high undersampling. > print |
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024 | 7 | _ | |a 10.1002/mrm.26206 |2 doi |
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100 | 1 | _ | |a Rank, Christopher |0 P:(DE-He78)65dc5d2a03aac87b199cba2986986d05 |b 0 |e First author |u dkfz |
245 | _ | _ | |a 4D respiratory motion-compensated image reconstruction of free-breathing radial MR data with very high undersampling. |
260 | _ | _ | |a New York, NY [u.a.] |c 2017 |b Wiley-Liss |
336 | 7 | _ | |a article |2 DRIVER |
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520 | _ | _ | |a To develop four-dimensional (4D) respiratory time-resolved MRI based on free-breathing acquisition of radial MR data with very high undersampling.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.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.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. |
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700 | 1 | _ | |a Heußer, Thorsten |0 P:(DE-He78)a00a109668c5fdbeea213d6981588250 |b 1 |u dkfz |
700 | 1 | _ | |a Buzan, Maria T A |b 2 |
700 | 1 | _ | |a Wetscherek, Andreas |0 P:(DE-HGF)0 |b 3 |
700 | 1 | _ | |a Freitag, Martin |0 P:(DE-He78)c420f6efccb409e1a287be027501a74c |b 4 |u dkfz |
700 | 1 | _ | |a Dinkel, Julien |b 5 |
700 | 1 | _ | |a Kachelrieß, Marc |0 P:(DE-He78)f288a8f92f092ddb41d52b1aeb915323 |b 6 |e Last author |u dkfz |
773 | _ | _ | |a 10.1002/mrm.26206 |g Vol. 77, no. 3, p. 1170 - 1183 |0 PERI:(DE-600)1493786-4 |n 3 |p 1170 - 1183 |t Magnetic resonance in medicine |v 77 |y 2017 |x 0740-3194 |
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