Abstract
We develop a framework for calculating clinically-viable diffusion MRI (dMRI) protocols for anisotropic IVIM modelling. The proposed multi-stage framework combines previous approaches to dMRI protocol optimisation: first optimising b-values by minimizing Cramer-Rao lower bounds on parameter variances, and subsequently optimising gradient directions jointly to provide maximum angular coverage across all shells. This removes unnecessary measurements of closely spaced b-values with the same gradient directions, which encode very similar information, and hence reduces the total number of dMRI measurements. We applied the framework to establish an organ-specific, data-driven, set of optimised b-values and gradient directions for dMRI of the placenta. The optimised protocol leads to higher contrast-to-noise ratios in parameter maps compared to a naive protocol of comparable scan time. Applying this framework in other organs has the potential to reduce scanning times required for anisotropic IVIM modelling.
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References
Abdullah, O.M., Gomez, A.D., Merchant, S., Heidinger, M., Poelzing, S., Hsu, E.W.: Orientation dependence of microcirculation-induced diffusion signal in anisotropic tissues. Magn. Reson. Med., Oct 2015. n/a–n/a. https://doi.org/10.1002/mrm.25980
Alexander, D.C.: A general framework for experiment design in diffusion MRI and its application in measuring direct tissue-microstructure features. Magn. Reson. Med. 60(2), 439–448 (2008). https://doi.org/10.1002/mrm.21646
Bonel, H.M., Stolz, B., Diedrichsen, L., Frei, K., Saar, B., Tutschek, B., Raio, L., Surbek, D., Srivastav, S., Nelle, M., Slotboom, J., Wiest, R.: Diffusion-weighted MR imaging of the placenta in fetuses with placental insufficiency. Radiology 257(3), 810–819 (2010). https://doi.org/10.1148/radiol.10092283
Caruyer, E., Lenglet, C., Sapiro, G., Deriche, R.: Design of multishell sampling schemes with uniform coverage in diffusion MRI. Magn. Reson. Med. Off. J. Soc. Magn. Reson. Med./Soc. Magn. Reson. Med. 69(6), 1534–1540 (2013). https://doi.org/10.1002/mrm.24736
Derwig, I., Barker, G.J., Poon, L., Zelaya, F., Gowland, P., Lythgoe, D.J., Nicolaides, K.: Association of placental T2 relaxation times and uterine artery Doppler ultrasound measures of placental blood flow. Placenta 34(6), 474–479 (2013). https://doi.org/10.1016/j.placenta.2013.03.005
Dietrich, O., Raya, J.G., Reeder, S.B., Reiser, M.F., Schoenberg, S.O.: Measurement of signal-to-noise ratios in MR images: influence of multichannel coils, parallel imaging, and reconstruction filters. J. Magn. Reson. Imaging 26(2), 375–385 (2007). https://doi.org/10.1002/jmri.20969
Finkenstaedt, T., Klarhoefer, M., Eberhardt, C., Becker, A.S., Andreisek, G., Boss, A., Rossi, C.: The IVIM signal in the healthy cerebral gray matter: a play of spherical and non-spherical components. NeuroImage 152, 340–347 (2017). https://doi.org/10.1016/j.neuroimage.2017.03.004
Grussu, F., Schneider, T., Zhang, H., Alexander, D.C., Wheeler-Kingshott, C.A.: Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo. NeuroImage 111, 590–601 (2015). https://doi.org/10.1016/j.neuroimage.2015.01.045
Hilbert, F., Bock, M., Neubauer, H., Veldhoen, S., Wech, T., Bley, T.A., Köstler, H.: An intravoxel oriented flow model for diffusion-weighted imaging of the kidney. NMR Biomed. 29(10), 1403–1413 (2016). https://doi.org/10.1002/nbm.3584
Jones, D.K., Horsfield, M.A., Simmons, A.: Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magn. Reson. Med. 42(3), 515–525 (1999). https://doi.org/10.1002/(SICI)1522-2594(199909)42:3<515::AID-MRM14>3.0.CO;2-Q
Karampinos, D.C., King, K.F., Sutton, B.P., Georgiadis, J.G.: Intravoxel partially coherent motion technique: characterization of the anisotropy of skeletal muscle microvasculature. J. Magn. Reson. Imaging 31(4), 942–953 (2010). https://doi.org/10.1002/jmri.22100
Le Bihan, D., Breton, E., Lallemand, D., Aubin, M.L.L., Vignaud, J., Laval-Jeantet, M.: Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 168(2), 497–505 (1988). https://doi.org/10.1148/radiology.168.2.3393671
Liu, A.L., Mikheev, A., Rusinek, H., Huang, W.C., Wysock, J.S., Babb, J.S., Feiweier, T., Stoffel, D., Chandarana, H., Sigmund, E.E.: REnal flow and microstructure AnisotroPy (REFMAP) MRI in normal and peritumoral renal tissue. J. Magn. Reson. Imaging, 1–10 (2018). https://doi.org/10.1002/jmri.25940
Moore, R., Strachan, B., Tyler, D., Duncan, K., Baker, P., Worthington, B., Johnson, I., Gowland, P.: In utero perfusing fraction maps in normal and growth restricted pregnancy measured using IVIM echo-planar MRI. Placenta 21(7), 726–732 (2000). https://doi.org/10.1053/plac.2000.0567
Notohamiprodjo, M., Chandarana, H., Mikheev, A., Rusinek, H., Grinstead, J., Feiweier, T., Raya, J.G., Lee, V.S., Sigmund, E.E.: Combined intravoxel incoherent motion and diffusion tensor imaging of renal diffusion and flow anisotropy. Magn. Reson. Med. 73(4), 1526–1532 (2015). https://doi.org/10.1002/mrm.25245
Panagiotaki, E., Walker-Samuel, S., Siow, B., Johnson, S.P., Rajkumar, V., Pedley, R.B., Lythgoe, M.F., Alexander, D.C.: Noninvasive quantification of solid tumor microstructure using VERDICT MRI. Cancer Res. 74(7), 1902–1912 (2014). https://doi.org/10.1158/0008-5472.CAN-13-2511
Slator, P.J., Hutter, J., McCabe, L., Gomes, A.D.S., Price, A.N., Panagiotaki, E., Rutherford, M.A., Hajnal, J.V., Alexander, D.C.: Placenta microstructure and microcirculation imaging with diffusion MRI. Magn. Reson. Med., Dec 2017. https://doi.org/10.1002/mrm.27036
Sohlberg, S., Mulic-Lutvica, A., Lindgren, P., Ortiz-Nieto, F., Wikström, A.K., Wikström, J.: Placental perfusion in normal pregnancy and early and late preeclampsia: a magnetic resonance imaging study. Placenta 35(3), 202–206 (2014). https://doi.org/10.1016/j.placenta.2014.01.008
Sohlberg, S., Mulic-Lutvica, A., Olovsson, M., Weis, J., Axelsson, O., Wikström, J., Wikström, A.K.: Magnetic resonance imaging-estimated placental perfusion in fetal growth assessment. Ultrasound Obstet. Gynecol. 46(6), 700–705 (2015). https://doi.org/10.1002/uog.14786
Song, F., Wu, W., Qian, Z., Zhang, G., Cheng, Y.: Assessment of the placenta in intrauterine growth restriction by diffusion-weighted imaging and proton magnetic resonance spectroscopy. Reprod. Sci. 24(4), 575–581 (2017). https://doi.org/10.1177/1933719116667219
Veraart, J., Sijbers, J., Sunaert, S., Leemans, A., Jeurissen, B.: Weighted linear least squares estimation of diffusion MRI parameters: strengths, limitations, and pitfalls. NeuroImage 81, 335–346 (2013). https://doi.org/10.1016/j.neuroimage.2013.05.028
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Slator, P.J. et al. (2019). A Framework for Calculating Time-Efficient Diffusion MRI Protocols for Anisotropic IVIM and An Application in the Placenta. In: Bonet-Carne, E., Grussu, F., Ning, L., Sepehrband, F., Tax, C. (eds) Computational Diffusion MRI. MICCAI 2019. Mathematics and Visualization. Springer, Cham. https://doi.org/10.1007/978-3-030-05831-9_20
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