Hassan Jassar, François Langevin

Abstract: Stability of the magnetic resonance (MR) contrast agent inside vascular occlusion agents is important for their localization with magnetic resonance imaging (MRI). The aim of this paper is to study the behaviour of the superparamagnetic iron oxide (SPIO) within Hepaspheres? microparticles (MP) by MRI when they are submitted to negative pressure induced by venous drainage of a tumor. Therefore, a venous drainage model was established and three parameters were taken into account according to physiologic parameters in tumors: pH, temperature and flow blood rate. Four cycles of pumping were performed with the presence of labeled Hepaspheres? with Endorem®. Several MR images of MP and perfusion liquid were taken before and after pumping. Endorem® release was determined after correction of non-uniformity intensities in MR images. Intensity variation according to spatial position, coil and MR acquisition parameters was studied. Labeled microparticles (LB*MP) appeared as black spots in MRI images whatever duration and pH. Our model demonstrates the stability of the SPIO inside the occlusion agent during time. Moreover, the proposed correction method proves the reduction of the intensity non-uniformity in MRI images.

Keywords: MRI; Venous Drainage Model; SPIO; Endorem®; Hepaspheres?; Intensity Non-Uniformity

Cite this paper: nullJassar, H. and Langevin, F. (2010) Labeled Hepasphere^TM behavior during venous drainage simulation at 1.5T. Journal of Biomedical Science and Engineering, 3, 1093-1098. doi: 10.4236/jbise.2010.311142.

References

[1]   Laurent, A., Wassef, M., Chapot, R., Wang, Y., Houdart, E., Feng, L., Tran Ba Huy, E. and Merland, J.J. (2005) Partition of calibrated tris-acryl gelatin microspheres in the arterial vasculature of embolized nasopharyngeal angiofibromas and paragangliomas. Journal of Vascular and Interventional Radiology, 16(4), 507-513.

[2]   Osuga, K., Hori, S., Kitayoshi, H., Khankan, A., Okada, A., Sugiura, T., Murakami, T., Hosokawa, K. and Nakamura, H. (2002) Embolization of high flow arteriovenous malformations: Experience with use of superabsorbent polymer microspheres. Journal of Vascular and Interventional Radiology, 13(11), 1125-1133.

[3]   De Luis, E., Bilbao, J.I., de Ciércoles, J.A.G.J., Cuesta, A. M., Rodríguez, A.M. and Lozano, M.D. (2008) In vivo evaluation of an new embolic spherical particle (HepaSphere) in a kidney animal model. Cardiovascular and Interventional Radiology, 31(2), 367-376.

[4]   Osuga, K., Khankan, A.A., Hori, S., Okada, A., Sugiura, T., Maeda, M., Nagano, H., Yamada, A., Murakami, T. and Nakamura, H. (2002) Transarterial embolization for large hepatocellular carcinoma with the use of superabsorbent polymer microspheres: initial experience. Journal of Vascular and Interventional Radiology, 13(9), 929- 934.

[5]   Jassar, H. (2009) Detectability of vascular occlusion materials for MRI follow-up. Ph.D. Dissertation, Compiegne University of Technology, Compiegne.

[6]   Vaupel, P., Rallinowski, F. and Okunieff, P. (1989) Blood flow, oxygen and nutrient supply, and metabolic microenvironment of human tumors: A review. Cancer Research, 49(23), 6449-6465.

[7]   Tancredi, T., McCuskey, P.A., Kan, Z. and Wallace, S. (1999) Changes in rat liver microcirculation after experimental hepathic arterial embolization: Comparison of different embolic agents. Radiology, 12(1), 117-181.

[8]   Khankan, A.A., Osuga, K., Hori, S., Morii, E., Murakami, T. and Nakamura, H. (2004) Embolic effects of superabsorbent polymer microspheres in rabbit renal model: comparison with tris-acryl gelatin microspheres and polyvinyl alcohol. Radiation Medicine, 22(6), 384-390.

[9]   Simmons, A., Arridge, S.R., Barker, G.J. and Williams, S.C. (1994) Sources of intensity nonuniformity in spin echo images at 1.5 T. Magnetic Resonance in Medicine, 32(1), 12-18.

[10]   Haacke, E.M., Brown, R.W., Thompson, M.R. and Venkatesan, R. (1999) Magnetic resonance imaging. Physical Principles and Sequence Design, Wiley-Liss, New York.

[11]   Wicks, D.A.G., Barker, G.J. and Tofts, P.S. (1993) Correction of intensity nonuniformity in MR images of any orientation. Magnetic Resonance Imaging, 11(2), 183- 196.

[12]   Zhou, L.Q., Zhu, Y.M., Bergot, C., Laval-Jeantet, A.M., Bousson, V., Laredo, J.D. and Laval-Jeantet, M. (2001) A method of radio-frequency inhomogeneity correction for brain tissue segmentation in MRI. Computerized Medical Imaging and Graphics, 25(5), 379-389.

[13]   Axel, L., Constantini, J. and Listerud, J. (1987) Intensity correction in surface-coil MR imaging. American Journal of Roentgenology, 148, 418-420.

[14]   Simmons, A., Arridge, S.R., Barker, G.J., Cluckie, A.J., and Tofts, P.S. (1994) Improvements to the quality of MRI cluster analysis. Magnetic Resonance Imaging, 12(8), 1191-1204.

[15]   Styner, M., Brechbuhler, C., Szekely, G. and Gerig, G. (2000) Parametric estimate of intensity inhomogeneities applied to MRI. Medical Imaging, 19(3), 153-165.

[16]   Lai, S.H. and Fang, M. (1999) A new variational shape- from-orientation approach to correcting intensity inhomogeneities in magnetic resonance images. Medical Image Analysis, 3(4), 409-424.

[17]   Pham, D.L. and Prince, J.L. (1999) A generalized EM algorithm for robust segmentation of magnetic resonance images. 33rd Annual Conference on Information Sciences and Systems, Baltimore, 558-563.

[18]   Narayana, P.A. and Bourthakour, A. (1995) Effect of radio frequency inhomogeneity correction on the reproducibility of intra-cranial volumes using MR image data. Magnetic Resonance in Medicine, 33(3), 396-400.

[19]   Vorkurka, E.A., Thaker, N. and Jackson, A. (1999) A fast model independent method for automatic correction of intensity nonuniformity in MRI data. Journal of Magnetic Resonance Imaging, 10(4), 550-562.

[20]   Brinkmann, B.H., Manduca, A. and Robb, R.A. (1998) Optimized homomorphic unsharp masking for MR grayscale inhomogeneity correction. IEEE Medical Imaging, 17(2), 161-171.

[21]   Likar, B., Viergever, M.A. and Pernus, F. (2000) Retrospective correction of MR intensity inhomogeneity by information minimization. MICCAI Conference on Medi- cal Image Computing and Computer-Assisted Intervention, 1935/2000, Pittsburgh, 375-384.

[22]   Cohen, M.S., DuBois, R.M. and Zeineh, M.M. (2000) Rapid and effective correction of RF inhomogeneity for high field magnetic resonance imaging. Human Brain Mapping, 10(4), 204-211.

[23]   Han, C., Hatsukami, T.S. and Yuan, C. (2001) A multi- scale method for automatic correction of intensity non- uniformity in MR images. Proceedings of International Society for Magnetic Resonance in Medicine, 13(3), 428- 436.

[24]   Hayes, C.E., Edelstein, W.A., Schenck, J.F., Otward, M. M. and Eash, M. (1985) An efficient, Highly Homogeneous Radiofrequency Coil for whole-body NMR Imaging at 1.5 T. Journal of Magnetic Resonance, 63, 622- 628.

[25]   Simmons, A., Tofts, P.S., Barker, G.J. and Arridge, S.R., (1994) Sources of intensity non uniformity in spin echo images at 1.5T. Magnetic Resonance in Medicine, 32(1), 121-128.

[26]   Barker, G.J., Simmons, A., Arridge, S. R. and Tofts, P.S., (1998) A simple method for investigating the effects of non-uniformity of radiofrequency transmission and radiofrequency reception in MRI. The Britch Journal of Radioliogy, 71(841), 59-67.