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2016 | OriginalPaper | Buchkapitel

Temporal Registration in In-Utero Volumetric MRI Time Series

verfasst von : Ruizhi Liao, Esra A. Turk, Miaomiao Zhang, Jie Luo, P. Ellen Grant, Elfar Adalsteinsson, Polina Golland

Erschienen in: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016

Verlag: Springer International Publishing

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Abstract

We present a robust method to correct for motion and deformations in in-utero volumetric MRI time series. Spatio-temporal analysis of dynamic MRI requires robust alignment across time in the presence of substantial and unpredictable motion. We make a Markov assumption on the nature of deformations to take advantage of the temporal structure in the image data. Forward message passing in the corresponding hidden Markov model (HMM) yields an estimation algorithm that only has to account for relatively small motion between consecutive frames. We demonstrate the utility of the temporal model by showing that its use improves the accuracy of the segmentation propagation through temporal registration. Our results suggest that the proposed model captures accurately the temporal dynamics of deformations in in-utero MRI time series.

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Vorheriges Kapitel Diffeomorphic Density Registration in Thoracic Computed Tomography

Nächstes Kapitel Probabilistic Atlas of the Human Hippocampus Combining Ex Vivo MRI and Histology

Schöpf, V., Kasprian, G., Brugger, P., Prayer, D.: Watching the fetal brain at rest. Int. J. Dev. Neurosci. 30(1), 11–17 (2012)CrossRef

Sørensen, A., Peters, D., Simonsen, C., Pedersen, M., Stausbøl-Grøn, B., Christiansen, O.B., Lingman, G., Uldbjerg, N.: Changes in human fetal oxygenation during maternal hyperoxia as estimated by BOLD MRI. Prenat. Diagn. 33(2), 141–145 (2013)CrossRef

Luo, J., Turk, E.A., Hahn, T., Teulon Gonzalez, M., Gagoski, B., Bibbo, C., Palanisamy, A., Tempany, C., Torrado-Carvajal, A., Malpica, N., Martnez Gonzlez, J., Robinson, J.N., Hernandez-Tamames, J.A., Adalsteinsson, E., Grant, P.E.: Human placental and fetal response to maternal hyperoxygenation in IUGR pregnancy as measured by BOLD MRI. In: Proceedings of the 23rd Annual Meeting of ISMRM, Toronto, Ontario, Canada, 2015, International Society of Magnetic Resonance in Medicine (ISMRM), p. 633 (2015)

Aimot-Macron, S., Salomon, L., Deloison, B., Thiam, R., Cuenod, C., Clement, O., Siauve, N.: In vivo MRI assessment of placental and fetal oxygenation changes in a rat model of growth restriction using blood oxygen level-dependent (bold) magnetic resonance imaging. Eur. Radiol. 23(5), 1335–1342 (2013)CrossRef

Studholme, C.: Mapping fetal brain development in utero using MRI: the big bang of brain mapping. Ann. Rev. Biomed. Eng. 13, 345 (2011)CrossRef

Ferrazzi, G., Murgasova, M.K., Arichi, T., Malamateniou, C., Fox, M.J., Makropoulos, A., Allsop, J., Rutherford, M., Malik, S., Aljabar, P., et al.: Resting state fMRI in the moving fetus: a robust framework for motion, bias field and spin history correction. Neuroimage 101, 555–568 (2014)CrossRef

You, W., Serag, A., Evangelou, I.E., Andescavage, N., Limperopoulos, C.: Robust motion correction and outlier rejection of in vivo functional MR images of the fetal brain and placenta during maternal hyperoxia. In: SPIE Medical Imaging, International Society for Optics and Photonics, pp. 94170O–94170O (2015)

Turk, E.A., Luo, J., Torrado-Carvajal, A., Hahn, T., Teulon Gonzalez, M., Gagoski, B., Bibbo, C., Robinson, J.N., Hernandez-Tamames, J.A., Grant, P.E., Adalsteinsson, E., Pascau, J., Malpica, N.: Automated roi extraction of placental and fetal regions for 30 minutes of EPI BOLD acquisition with different maternal oxygenation episodes. In: Proceedings of the 23rd Annual Meeting of ISMRM, Toronto, Ontario, Canada, 2015, International Society of Magnetic Resonance in Medicine (ISMRM), p. 639 (2015)

Reuter, M., Fischl, B.: Avoiding asymmetry-induced bias in longitudinal image processing. Neuroimage 57(1), 19–21 (2011)CrossRef

10.

Durrleman, S., Pennec, X., Trouvé, A., Braga, J., Gerig, G., Ayache, N.: Toward a comprehensive framework for the spatiotemporal statistical analysis of longitudinal shape data. Int. J. Comput. Vis. 103(1), 22–59 (2013)MathSciNetCrossRefMATH

11.

Chandrashekara, R., Rao, A., Sanchez-Ortiz, G.I., Mohiaddin, R.H., Rueckert, D.: Construction of a statistical model for cardiac motion analysis using nonrigid image registration. In: Taylor, C., Noble, J.A. (eds.) IPMI 2003. LNCS, vol. 2732, pp. 599–610. Springer, Heidelberg (2003). doi:10.1007/978-3-540-45087-0_50CrossRef

12.

Sundar, H., Davatzikos, C., Biros, G.: Biomechanically-constrained 4D estimation of myocardial motion. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5762, pp. 257–265. Springer, Heidelberg (2009). doi:10.1007/978-3-642-04271-3_32CrossRef

13.

Park, J., Metaxas, D., Young, A.A., Axel, L.: Deformable models with parameter functions for cardiac motion analysis from tagged MRI data. IEEE Trans. Med. Imaging 15(3), 278–289 (1996)CrossRef

14.

Metz, C., Klein, S., Schaap, M., van Walsum, T., Niessen, W.J.: Nonrigid registration of dynamic medical imaging data using nD+t B-splines and a groupwise optimization approach. Med. Image Anal. 15(2), 238–249 (2011)CrossRef

15.

McClelland, J.R., Hawkes, D.J., Schaeffter, T., King, A.P.: Respiratory motion models: a review. Med. Image Anal. 17(1), 19–42 (2013)CrossRef

16.

Rietzel, E., Chen, G.T.: Deformable registration of 4D computed tomography data. Med. Phys. 33(11), 4423–4430 (2006)CrossRef

17.

Reinhardt, J.M., Ding, K., Cao, K., Christensen, G.E., Hoffman, E.A., Bodas, S.V.: Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation. Med. Image Anal. 12(6), 752–763 (2008)CrossRef

18.

Singh, N., Hinkle, J., Joshi, S., Fletcher, P.T.: Hierarchical geodesic models in diffeomorphisms. Int. J. Comput. Vis. 117(1), 70–92 (2016)MathSciNetCrossRefMATH

19.

Baum, L.E., Petrie, T.: Statistical inference for probabilistic functions of finite state markov chains. Ann. Math. Stat. 37(6), 1554–1563 (1966)MathSciNetCrossRefMATH

20.

Bishop, C.M.: Pattern recognition. Machine Learning (2006)

21.

Avants, B.B., Epstein, C.L., Grossman, M., Gee, J.C.: Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Medical Image Anal. 12(1), 26–41 (2008)CrossRef

22.

Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297–302 (1945)CrossRef

Titel: Temporal Registration in In-Utero Volumetric MRI Time Series
verfasst von: Ruizhi Liao
Esra A. Turk
Miaomiao Zhang
Jie Luo
P. Ellen Grant
Elfar Adalsteinsson
Polina Golland
Verlag: Springer International Publishing
Buch: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016
Print ISBN: 978-3-319-46725-2

Electronic ISBN: 978-3-319-46726-9

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-46726-9_7

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