Abstract
Signal correlation measurement has been widely used for segmenting specific tissues, localizing abnormal regions and analyzing functional areas in dynamic imaging modalities. In this paper, we discussed the feasibility of similarity mappings derived from six signal coefficient measurements in improving morphological evaluation of human brain. These images are from a digital phantom and four normal volunteers scanned by multi-echo T2-star weighted MR sequences. Simulation studies have shown that similarity mappings from cross-correlation, normalized cross-correlation, mean square error and cubed sum coefficient are not helpful in distinguishing the reference region from its surrounding tissues. Clinical experiments were focused on similarity coefficient mapping (SCM) and improved SCM (iSCM). Final results have demonstrated comparative capacity of SCM and iSCM in improving image quality from quantitative metrics and visual analysis.
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References
Chavhan, G.B., Babyn, P.S., Thomas, B., et al.: Principles, techniques, and applications of T2*-based MR imaging and its special applications. RadioGraphics 29(5), 1433–1449 (2009)
Tardif, C.L., Bedell, B.J., Eskildsen, S.F., et al.: Quantitative magnetic resonance imaging of cortical multiple sclerosis pathology. Multiple sclerosis international (2012)
Mamisch, T.C., Hughes, T., Mosher, T.J., et al.: T2 star relaxation times for assessment of articular cartilage at 3 T: a feasibility study. Skeletal Radiology 41(3), 287–292 (2012)
Wang, H.Y., Hu, J., Xie, Y.Q., et al.: Feasibility of similarity coefficient map for improving morphological evaluation of T2* weighted MRI for renal cancer. Chinese Physics B 22(3), 8702 (2013)
Yu, S.D., Wu, S.B., Xie, Y.Q.: Automatic mapping extraction from multi-echo T2-star weighted magnetic resonance images for improving morphological evaluations in human brain. Comput. Math. Methods Med. 2013 (2013)
Lo, E., Rogowska, J., Bogorodzki, P., et al.: Temporal correlation analysis of penumbral dynamics in focal cerebral ischemia. Journal of Cerebral Blood Flow and Metabolism 16(1), 60–68 (1996)
Zhu, F., Rodriguez, G.D., Carpenter, T., et al.: Lesion Area Detection Using Source Image Correlation Coefficient for CT Perfusion Imaging. Journal of Biomedical and Health Informatics 17(5), 950–958 (2013)
Rogowska, J., Preston Jr., K., Hunter, G.J., et al.: Applications of similarity mapping in dynamic MRI. IEEE Transactions on Medical Imaging 14(3), 480–486 (1995)
Thireou, T., Kontaxakis, G., Strauss, L.G., et al.: Feasibility study of the use of similarity maps in the evaluation of oncological dynamic positron emission tomography images. Medical & Biological Engineering & Computing 43(1), 23–32 (2005)
Haacke, E.M., Li, M., Juvvigunta, F.: Tissue similarity maps (TSMs): A new means of mapping vascular behavior and calculating relative blood volume in perfusion weighted imaging. Journal of Magnetic Resonance Imaging 31(4), 481–489 (2013)
Brockow, K.: Contrast media hypersensitivity - scope of the problem. Toxicology 209(2), 189–192 (2005)
Tepel, M., Van der Giet, M., Schwarzfeld, C., et al.: Prevention of radiographic-contrast-agent-induced reductions in renal function by acetylcysteine. The New England Journal of Medicine 343(3), 180–184 (2000)
Collins, D.L., Zijdenbos, A.P., Kollokian, V., et al.: Design and construction of a realistic digital brain phantom. IEEE Transactions on Medical Imaging 17(3), 463–468 (1998)
Haacke, E.M., Brown, R.W., Thompson, M.R., et al.: Magnetic resonance imaging: physical principles and sequence design. Wiley-Liss, New York (1999)
Coupe, P., Manjon, J.V., Gedamu, E., et al.: Robust Rician noise estimation for MR images. Medical Image Analysis 14(4), 483–493 (2010)
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Yu, S., Cheng, X., Xie, Y. (2014). Feasibility Study of Signal Similarity Measurements for Improving Morphological Evaluation of Human Brain with Images from Multi-Echo T2-Star Weighted MR Sequences. In: Zhang, Y., Yao, G., He, J., Wang, L., Smalheiser, N.R., Yin, X. (eds) Health Information Science. HIS 2014. Lecture Notes in Computer Science, vol 8423. Springer, Cham. https://doi.org/10.1007/978-3-319-06269-3_26
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DOI: https://doi.org/10.1007/978-3-319-06269-3_26
Publisher Name: Springer, Cham
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