Retrospective self-sorted 4D-MRI for the liver

      Abstract

      Purpose

      Daily MRI-guidance for liver radiotherapy is becoming possible on an MR-Linac. The purpose of this study was to develop a 4D-MRI strategy using an image-based respiratory signal with an acquisition-reconstruction time <5 min, providing T2-weighting for non-contrast enhanced tumor visibility.

      Materials and Methods

      Images were acquired using an axial multi-slice 2D Turbo Spin Echo (TSE) sequence, repeated a variable number of times (dynamics). A self-sorting signal (SsS) was retrieved from the data by computing correlation coefficients between all acquired slices. Images were sorted into 10 phases and missing data were interpolated. The method was validated in a phantom and 10 healthy volunteers. The SsS, image quality (SSIM index: structural similarity index) and quantified liver motion were assessed as a function of the number of dynamics. Tumor visibility was demonstrated in two patients with liver metastasis on the Elekta Unity MR-Linac.

      Results

      SsS was in good agreement with the reference navigator signal. Missing data increased from 0.4 ± 0.6% to 37.1 ± 6.6% for 60 to 10 dynamics. The SSIM index for the interpolated slices was ∼0.6. The RMSD of quantified motion was <1 mm in phantom experiments and in volunteers <1 mm for >10 dynamics.

      Conclusion

      For 30 dynamics, acquisition-reconstruction time was <5 min and showed good performance in the validation experiments. The tumor was clearly visible in the patient images.

      Keywords

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      References

        • Namimoto T.
        • Yamashita Y.
        • Mitsuzaki K.
        • Takahashi M.
        The value of respiratory triggered T2-weighted turbo spin-echo imaging of the liver using a phased array coil.
        J Magn Reson Imaging. 1998; 8: 655-662
        • Yoshikawa T.
        • Mitchell D.G.
        • Hirota S.
        • Ohno Y.
        • Yoshigi J.
        • Maeda T.
        • et al.
        Focal liver lesions: Breathhold gradient- and spin-echo T2-weighted imaging for detection and characterization.
        J Magn Reson Imaging. 2006; 23: 520-528
        • Seung S.L.
        • Jae H.B.
        • Hong H.S.
        • Seong H.P.
        • Hyung J.W.
        • Yong M.S.
        • et al.
        Image quality and focal lesion detection on T2-weighted MR imaging of the liver: Comparison of two high-resolution free-breathing imaging techniques with two breath-hold imaging techniques.
        J Magn Reson Imaging. 2007; 26: 323-330
        • Van De Lindt T.N.
        • Schubert G.
        • Van Der Heide U.A.
        • Sonke J.
        An MRI-based mid-ventilation approach for radiotherapy of the liver.
        Radiother Oncol. 2016; 121: 276-280
        • Namasivayam S.
        • Martin D.R.
        • Saini S.
        Imaging of liver metastases: MRI.
        Cancer Imaging. 2007; 7: 2-9
        • Tokuda J.
        • Morikawa S.
        • Haque H.A.
        • Tsukamoto T.
        • Matsumiya K.
        • Liao H.
        • et al.
        Adaptive 4D MR imaging using navigator-based respiratory signal for MRI-guided therapy.
        Magn Reson Med. 2008; 59: 1051-1061
        • Yang W.
        • Fan Z.
        • Tuli R.
        • Deng Z.
        • Pang J.
        • Wachsman A.
        • et al.
        Four-dimensional magnetic resonance imaging with 3-dimensional radial sampling and self-gating e based K-space sorting: Early clinical experience on pancreatic cancer patients.
        Radiat Oncol Biol. 2015; 93: 1136-1143
        • Hu Y.
        • Caruthers S.D.
        • Low D.A.
        • Parikh P.J.
        • Mutic S.
        Respiratory amplitude guided 4-dimensional magnetic resonance imaging.
        Int J Radiat Oncol Biol Phys. 2013; 86: 198-204
        • Liu Y.
        • Yin F.F.
        • Czito B.G.
        • Bashir M.R.
        • Cai J.
        T2-weighted four dimensional magnetic resonance imaging with result-driven phase sorting.
        Med Phys. 2015; 42
        • Paganelli C.
        • Summers P.
        • Bellomi M.
        • Baroni G.
        • Riboldi M.
        Liver 4DMRI: A retrospective image-based sorting method.
        Med Phys. 2015; 42: 4814-4821
        • Beddar A.S.
        • Kainz K.
        • Briere T.M.
        • Tsunashima Y.
        • Pan T.
        • Prado K.
        • et al.
        Correlation between internal fiducial tumor motion and external marker motion for liver tumors imaged with 4D-CT.
        Int J Radiat Oncol Biol Phys. 2007; 67: 630-638
        • Li G.
        • Wei J.
        • Olek D.
        • Kadbi M.
        • Tyagi N.
        • Zakian K.
        • et al.
        Direct comparison of respiration-correlated four-dimensional magnetic resonance imaging reconstructed using concurrent internal navigator and external bellows.
        Radiat Oncol Biol. 2017; 97: 596-605
        • Liu Y.
        • Yin F.-F.
        • Chen N.
        • Chu M.-L.
        • Cai J.
        Four dimensional magnetic resonance imaging with retrospective k-space reordering: a feasibility study.
        Med Phys. 2015; 42: 534-541
        • Deng Z.
        • Pang J.
        • Yang W.
        • Yue Y.
        • Sharif B.
        • Tuli R.
        • et al.
        Four-dimensional MRI using three-dimensional radial sampling with respiratory self-gating to characterize temporal phase-resolved respiratory motion in the abdomen.
        Magn Reson Med. 2016; 75: 1574-1585
        • Mickevicius N.J.
        • Paulson E.S.
        Investigation of undersampling and reconstruction algorithm dependence on respiratory correlated 4D-MRI for online MR-guided radiation therapy.
        Phys Med Biol. 2017; 62: 2910-2921
        • Rank C.M.
        • Heußer T.
        • Buzan M.T.A.
        • Wetscherek A.
        • Freitag M.T.
        • Dinkel J.
        • et al.
        4D respiratory motion-compensated image reconstruction of free-breathing radial MR data with very high undersampling.
        Magn Reson Med. 2017; 77: 1170-1183
        • Wang G.
        • Garcia D.
        • Liu Y.
        • de Jeu R.
        • Johannes A.
        Dolman, A three-dimensional gap filling method for large geophysical datasets: Application to global satellite soil moisture observations.
        Environ Model Softw. 2012; 30: 139-142
        • Garcia D.
        Robust smoothing of gridded data in one and higher dimensions with missing values.
        Comput Stat Data Anal. 2010; 54: 1167-1178
        • Lujan A.E.
        • Balter J.M.
        • Ten Haken R.K.
        A method for incorporating organ motion due to breathing into 3D dose calculations in the liver: sensitivity to variations in motion.
        Med Phys. 2003; 30: 2643-2649
        • Wang Z.
        • Bovik A.C.
        • Sheikh H.R.
        • Member S.
        • Simoncelli E.P.
        • Member S.
        Image quality assessment: from error visibility to structural similarity.
        IEEE Trans Image Process. 2004; 13: 600-612
        • Park J.C.
        • Park S.H.
        • Kim J.H.
        • Yoon S.M.
        • Song S.Y.
        • Liu Z.
        • et al.
        Liver motion during cone beam computed tomography guided stereotactic body radiation therapy.
        Med Phys. 2012; 39: 6431-6442
        • Stemkens B.
        • Tijssen R.H.N.
        • De Senneville B.D.
        • Heerkens H.D.
        • Van Vulpen M.
        • Lagendijk J.J.W.
        • et al.
        Optimizing 4-dimensional magnetic resonance imaging data sampling for respiratory motion analysis of pancreatic tumors.
        Int J Radiat Oncol Biol Phys. 2015; 91: 571-578