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Abdominal Imaging in Clinical Applications: Computer Aided Diagnosis Approaches Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Theory of Parallel MRI and Cartesian SENSE Reconstruction: Highlight

Authors : Joseph Suresh Paul, Raji Susan Mathew, M. S. Renjith

Published in: Medical Imaging in Clinical Applications

Publisher: Springer International Publishing

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Abstract

Magnetic resonance imaging (MRI) is a well-known medical imaging technique, that exclusively uses the response of the hydrogen nucleus which is abundant in the human body. In recent years, parallel MRI techniques have been developed to accelerate image acquisition. A notable development in parallel MRI was the introduction of SMASH by Sodicksen and Manning. Since then, great progress in the development and improvement of parallel imaging reconstruction methods has taken place. The Sensitivity Encoding (SENSE) proposed by Preussmann and Weiger is the most widely used image-domain parallel MR image reconstruction technique. SENSE uses an initial estimate of the coil sensitivity in combination with an SNR optimized noise inversion to obtain the final reconstructed image. This chapter starts with a brief history of the parallel imaging, discusses the estimation of sensitivity and SENSE reconstruction.

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Literature
1.
Zhu, H.: Medical Image Processing Overview. University of Calgary
2.
Ra, J.B., Rim, C.Y.: Fast imaging using subencoding data sets from multiple detectors. Magn. Reson. Med. 30(1), 142–145 (1993)CrossRef
3.
Sodickson, D.K., Manning, W.J.: Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays. Magn. Reson. Med. 38(4), 591–603 (1997)CrossRef
4.
Pruesmann, K., Weiger, M., Scheidegger, M., Boesiger, P.: SENSE: sensitivity encoding for fast MRI. Mag. Res. Med. 42, 952–962 (1999)CrossRef
5.
Kyriakos, W.E., Panych, L.P., Kacher, D.F., Westin, C.F., Bao, S.M., Mulkern, R.V., Jolesz, F.A.: Sensitivity profiles from an array of coils for encoding and reconstruction in parallel (SPACE RIP). Magn. Reson. Med. 44(2), 301–308 (2000)CrossRef
6.
Griswold, M.A., Jakob, P.M., Nittka, M., Goldfarb, J.W., Haase, A.: Partially parallel imaging with localized sensitivities (PILS). Magn. Reson. Med. 44(4), 602–609 (2000)CrossRef
7.
McKenzie, C.A., Yeh, E.N., Sodickson, D.K.: Improved spatial harmonic selection for SMASH image reconstructions. Magn. Reson. Med. 46(4), 831–836 (2001)CrossRef
8.
Sodickson, D.K., McKenzie, C.A.: A generalized approach to parallel magnetic resonance imaging. Med. Phys. 28(8), 1629–1643 (2001)CrossRef
9.
Griswold, M.A., Jakob, P.M., Heidemann, R.M., Nittka, M., Jellus, V., Wang, J., Kiefer, B., Haase, A.: Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn. Reson. Med. 47(6), 1202–1210 (2002)
10.
Bydder, M., Larkman, D.J., Hajnal, J.V.: Generalized SMASH imaging. Magn. Reson. Med. 47, 160–170 (2002)CrossRef
11.
Lauterbur, P.C.: Image formation by induced local interactions: examples employing nuclear magnetic resonance. Nature 242, 190–191 (1973)CrossRef
12.
Mansfield, P., Grannell, P.K.: NMR ‘diffraction’ in solids. J. Phys. C: Solid State Phys. 6(22) (1973)
13.
Glover, G.H., Pelc, N.J.: A rapid-gated cine MRI technique. Magn. Reson, Annual (1988)
14.
Ehman, R.L., Felmlee, J.P.: Adaptive technique for high-definition MR imaging of moving structures. Radiology 173(1), 255–263 (1989)CrossRef
15.
Bloomgarden, D.C., Fayad, Z.A., Ferrari, V.A., Chin, B., Sutton, M.G., Axel, L.: Global cardiac function using fast breath-hold MRI: validation of new acquisition and analysis techniques. Magn. Reson. Med. 37(5), 683–692 (1997)CrossRef
16.
Carlson, J.W.: An algorithm for NMR imaging reconstruction based on multiple RF receiver coils. J. Magn. Reson. 74(2), 376–380 (1987)
17.
Hutchinson, M., Raff, U.: Fast MRI data acquisition using multiple detectors. Magn. Reson. Med. 6(1), 87–91 (1988)CrossRef
18.
Schenck, J.F., Hart, H.R., Foster, T.H., Edelstein, W.A., Bottomley, P.A., Hardy, C.J., Zimmerman, R.A., Bilaniuk, L.T.: Improved MR imaging of the orbit 1.5T with surface coils. Am. J. Neuroradiol. 6, 193–196 (1985)
19.
Hyde, J.S., Jesmanowicz, A., Gristand, T.M., Froncisz, W., Kneeland, J.B.: Quadrature detection surface coil. Magn. Reson. Med. 4, 179–184 (1987)CrossRef
20.
Roemer, P.B., Edelstein, W.A., Hayes, C.E., Souza, S.P., Mueller, O.M.: The NMR pased array. Magn. Reson. Med. 16(2), 192–225 (1990)CrossRef
21.
Wright, S.M., Wald, L.L.: Theory and application of array coils in MR sectroscopy. NMR Biomed. 10(8), 394–410 (1997)CrossRef
22.
Steckner, M.C.: Advances in MRI equipment design, software, and imaging procedures. Hitachi Medical Systems America, Inc. AAPM (2006)
23.
Kelton, J.R., Magin, R.L., Wright, S.M.: An algorithm for rapid image acquisition using multiple receiver coils. In: Proceedings of the SMRM 8th Annual Meeting, Amsterdam, pp. 1172 (1989)
24.
Sodickson, D.K., Griswold, M.A., Edelman, R.R., Manning, W.J.: Accelerated spin echo and gradient echo imaging in the abdomen and thorax using simultaneous acquisition of spatial harmonics (SMASH). In: Proceedings of the ISMRM Annual Meeting, Vancouver, Canada, Abstract 1818 (1997)
25.
Jakob, P.M., Griswold, M.A., Edelman, R.R., Sodickson, D.K.: AUTO-SMASH: a self-calibrating technique for SMASH imaging. Simultaneous acquisition of spatial harmonics. MAGMA 7(1), 42–54 (1998)CrossRef
26.
Heidemann, R.M., Griswold, M.A., Haase, A., Jakob, P.M.: VD-AUTO-SMASH imaging. Magn. Reson. Med. 45(6), 1066–1074 (2001)CrossRef
27.
Wang, J., Kluge, T., Nittka, M., Jellus, V., Kühn, B., Kiefer, B.: Parallel acquisition techniques with modified SENSE reconstruction mSENSE. In: First International Workshop on Parallel MRI, Wurzburg, Germany, p. 398 (2001)
28.
Yanasak, N., Clarke, G., Stafford, R.J., Goerner, F., Steckner, M., Bercha, I., Och, J., Amurao, M.: Parallel Imaging in MRI: Technology, Applications, and Quality Control, American Association of Physicists in Medicine (2015)
29.
Qu, P., Zhang, B., Luo, J., Wang, J., Shen, G.X.: Improved iterative non-cartesian SENSE reconstruction using inner-regularization. In: Proceedings of the ISMRM 14, Seattle (2006)
30.
Ali, A.S., Hussien, A.S., Tolba, M.F., Youssef, A.H.: Visualization of large time-varying vector data. In: 3rd IEEE International Conference on Computer Science and Information Technology, Art no. 5565176, pp. 210–215 (2010)
31.
Breuer, F.A., Kannengiesser, A.R.S., Blaimer, M., Seiberlich, N., Jakob, P.M., Griswold, M.A.: General formulation for quantitative G-factor calculation in GRAPPA Reconstructions. Magn. Reson. Med. 62, 739–746 (2009)
32.
Ohliger, M.A., Sodickson, D.K.: An introduction to coil array design for parallel MRI. NMR Biomed. 19, 300–315 (2006)CrossRef
Metadata
Title
Theory of Parallel MRI and Cartesian SENSE Reconstruction: Highlight
Authors
Joseph Suresh Paul
Raji Susan Mathew
M. S. Renjith
Copyright Year
2016
Book
Medical Imaging in Clinical Applications

Print ISBN: 978-3-319-33791-3

Electronic ISBN: 978-3-319-33793-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-33793-7_14

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