Abstract
Thick-slice image acquisitions are sometimes inevitable in magnetic resonance imaging due to limitations posed by pulse sequence timing and signal-to-noise-ratio. The estimation of an isotropic high-resolution volume from thick-slice MRI scans is desired for improved image analysis and evaluation. In this article we formulate a maximum a posteriori (MAP) estimation algorithm for high-resolution volumetric MRI reconstruction. As compared to the previous techniques, this probabilistic formulation relies on a slice acquisition model and allows the incorporation of image priors. We focus on image priors based on image gradients and compare the developed MAP estimation approach to scattered data interpolation (SDI) and maximum likelihood reconstruction. The results indicate that the developed MAP estimation approach outperforms the SDI techniques and appropriate image priors may improve the volume estimation when the acquired thick-slice scans do not sufficiently sample the imaged volume. We also report applications in pediatric and fetal imaging.
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Jiang, S., Xue, H., Glover, A., Rutherford, M., Rueckert, D., Hajnal, J.: MRI of moving subjects using multislice snapshot images with volume reconstruction (SVR): application to fetal, neonatal, and adult brain studies. IEEE Transactions on Medical Imaging 26(7), 967–980 (2007)
Greenspan, H., Oz, G., Kiryati, N., Peled, S.: MRI inter-slice reconstruction using super-resolution. Magnetic Resonance Imaging 20(5), 437–446 (2002)
Rousseau, F., Glenn, O., Iordanova, B., Rodriguez-Carranza, C., Vigneron, D., Barkovich, J., Studholme, C.: Registration-based approach for reconstruction of high-resolution in utero fetal MR brain images. Acad. Radiol. 13, 1072–1081 (2006)
Kim, K., Habas, P., Rousseau, F., Glenn, O., Barkovich, A., Studholme, C.: Intersection based motion correction of multi-slice MRI for 3d in utero fetal brain image formation. IEEE Transactions on Medical Imaging 29(1), 146–158 (2010)
Park, S.C., Park, M.K., Kang, M.G.: Super-resolution image reconstruction: a technical overview. IEEE Signal Processing Magazine 20(3), 21–36 (2003)
Farsiu, S., Robinson, M., Elad, M., Milanfar, P.: Fast and robust multiframe super resolution. IEEE Transactions on Image Processing 13(10), 1327–1344 (2004)
Collins, D., Zijdenbos, A., Kollokian, V., Sled, J., Kabani, N., Holmes, C., Evans, A.: Design and construction of a realistic digital brain phantom. IEEE Transactions on Medical Imaging 17(3), 463–468 (1998)
Robinson, D., Milanfar, P.: Statistical performance analysis of super-resolution. IEEE Transactions on Image Processing 15(6), 1413–1428 (2006)
Subbarao, M., Choi, T., Nikzad, A.: Focusing techniques. Journal of Optical Engineering 32, 2824–2836 (1992)
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Gholipour, A., Estroff, J.A., Sahin, M., Prabhu, S.P., Warfield, S.K. (2010). Maximum A Posteriori Estimation of Isotropic High-Resolution Volumetric MRI from Orthogonal Thick-Slice Scans. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. MICCAI 2010. Lecture Notes in Computer Science, vol 6362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15745-5_14
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DOI: https://doi.org/10.1007/978-3-642-15745-5_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15744-8
Online ISBN: 978-3-642-15745-5
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