Abstract
The aim of this study was to obtain high-resolution images with a short acquisition time using a compressed sensing (CS) technique for microvascular imaging, especially of the lenticulostriate arteries (LSAs), with 7T magnetic resonance imaging (MRI). Initially, two different radio frequency (RF) coils, birdcage and multi-channel phased array, were tested to compare images of micro-vessels acquired using the CS technique with those acquired using conventional magnetic resonance angiography (MRA) at 7T MRI. High-resolution CS MRA as well as low- and high-resolution conventional time-of-flight MRA images obtained with a multi-channel RF coil was compared to evaluate the feasibility of the CS technique for microvascular imaging. Signal intensities were then used to quantitatively estimate vessel sizes. Compared to low-resolution MRA, the CS technique improved the depiction of the LSAs and provided a substantially reduced partial volume effect of the vessels. Despite the short acquisition time of the CS technique, it clearly depicted the LSA morphology almost as well as the high-resolution MRA. The measured size difference between micro-vessels that were analyzed using the CS technique and those analyzed using high-resolution MRA was about 20 %; however, the difference between the high-resolution and the low-resolution MRA was as high as 100 %. This study evaluated the feasibility of the CS technique for microvascular imaging with 7T MRI. A CS technique that combines high-resolution imaging with a short acquisition time would be a very effective method for microvascular imaging in both research and clinical studies.
Similar content being viewed by others
References
N.B. Walters, G.F. Egan, J.J. Kril, M. Kean, P. Waley, M. Jenkinson, J.D.G. Watson, Proc. Natl. Acad. Sci. USA 100, 2981 (2003)
I.F. Klein, P.C. Lavallée, P.J. Touboul, E. Schouman-Claeys, P. Amarenco, Neurology 67, 327 (2006)
S.G. Mueller, L. Stables, A.T. Du, N. Schuff, D. Truran, N. Cashdollar, M.W. Weiner, Neurobiol. Aging 28, 719 (2007)
E. Bourekas, G. Christoforidis, A. Abduljalil, A. Kangarlu, D. Chakeres, D. Spigos, P.-M. Robitaille, J. Comput. Assist. Tomogr. 23, 867 (1999)
J.T. Vaughan, M. Garwood, C.M. Collins, W. Liu, L. DelaBarre, G. Adriany, P. Andersen, H. Merkle, R. Goebel, M.B. Smith, K. Ugurbil, Magn. Reson. Med. 46, 24 (2001)
K.P. Pruessmann, M. Weiger, M.B. Scheidegger, P. Boesiger, Magn. Reson. Med. 42, 952 (1999)
M.A. Griswold, P.M. Jakob, R.M. Heidemann, M. Nittka, V. Jellus, J. Wang, B. Kiefer, A. Haase, Magn. Reson. Med. 47, 1202 (2002)
M.A. Ohliger, A.K. Grant, D.K. Sodickson, Magn. Reson. Med. 50, 1018 (2003)
M. Weiger, P. Boesiger, P.R. Hilfiker, D. Weishaupt, K.P. Pruessmann, Magn. Reson. Med. 53, 177 (2005)
Z.-H. Cho, C.-K. Kang, J.-Y. Han, S.-H. Kim, K.-N. Kim, S.-M. Hong, C.-W. Park, Y.-B. Kim, Stroke 39, 1604 (2008)
M. Thürling, M. Küper, R. Stefanescu, S. Maderwald, E.R. Gizewski, M.E. Ladd, D. Timmann, Neuroimage 57, 1184 (2011)
Z.-H. Cho, Y.-D. Son, H.-K. Kim, S.-T. Kim, S.-Y. Lee, J.-G. Chi, C.-W. Park, Y.-B. Kim, J. Nucl. Med. 51, 1545 (2010)
T. Nakada, Brain Dev. 29, 325 (2007)
M. Lustig, D. Donoho, J.M. Pauly, Magn. Reson. Med. 58, 1182 (2007)
M. Akçakaya, T.A. Basha, R.H. Chan, W.J. Manning, R. Nezafat, Magn. Reson. Med. 71, 815 (2014)
G. Madelin, G. Chang, R. Otazo, A. Jerschow, R.R. Regatte, J. Magn. Reson. 214, 360 (2012)
R. Otazo, D. Kim, L. Axel, D.K. Sodickson, Magn. Reson. Med. 64, 767 (2010)
Z.-H. Cho, Y.-B. Lee, C.-K. Kang, J.-W. Yang, I.-H. Jung, C.-A. Park, C.-W. Park, Y.-B. Kim, J. Neurol. 260, 144 (2013)
Y.-B. Lee, C.-K. Kang, K.-T. Kim, C.-A. Park, Y.-B. Kim, Z.-H. Cho, Vasc. Med. 18, 314 (2013)
S.D. Sharma, C.L. Fong, B.S. Tzung, M. Law, K.S. Nayak, Investig. Radiol. 2013(48), 638 (2013)
J. Milles, M.J. Versluis, A. Webb, J. Reiber, 10th IEEE Int. Conf. Inf. Technol. Appl. Biomed. ITAB 2010, 1–4 (2010)
C.-K. Kang, C.-A. Park, Y.-B. Lee, C.-W. Park, S.-M. Hong, Y.-B. Kim, Z.-H. Cho, Int. J. Imaging Syst. Technol. 24, 121 (2014)
C.-K. Kang, M.-K. Woo, S.-M. Hong, Y.-B. Kim, Z.-H. Cho, Magn. Reson. Imaging 32, 1133 (2014)
S. Wörz, K. Rohr, I.E.E.E. Trans, Image Process. 16, 1994 (2007)
Acknowledgments
This work was supported by Gachon University, Incheon, Republic of Korea (Grant Number: GCU-2015-0061 & GCU-2015-5030).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
None declared.
Rights and permissions
About this article
Cite this article
Park, CA., Kang, D., Son, YD. et al. Microvascular Imaging Using Compressed Sensing at 7T MRI: A Preliminary Study. Appl Magn Reson 46, 1189–1197 (2015). https://doi.org/10.1007/s00723-015-0713-0
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00723-015-0713-0