Abstract
We developed a new method for absolute quantification of targeted radiotracers uptake in the myocardium using hybrid SPECT/CT and an external reference point source. A segmentation algorithm based on the level set was developed to determine the endocardial edges from CT, which were subsequently applied to the physically co-registered SPECT. A 3-D Gaussian fitting method was applied for quantification of the external point source. The total targeted radiotracer activity in the myocardium was normalized to that in the point source to calculate the absolute uptake of targeted radiotracer in the myocardium. Preliminary validation was performed in rats with ischemia-induced angiogenesis. The quantified in vivo radiotracer uptake was compared to the postmortem tissue radioactive well-counting of the myocardium. Our methods worked well for identification of the endocardial edges. Quantification of the focal uptake was consistent with the well-counting data. Our methods may have the potential of providing precise absolute quantification of targeted radiotracer uptake in the myocardium.
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Keywords
- Single Photon Emission Computerize Tomography
- Single Photon Emission Computerize Tomography Image
- Left Ventricular Cavity
- Left Ventricular Myocardium
- Radiotracer Uptake
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References
Okada, R.D., Johnson, G., et al.: 99mTc-HL91: “hot spot” detection of ischemic myocardium in vivo by gamma camera imaging. Circulation 97, 2557–2566 (1998)
Kessler, R.M., et al.: Analysis of emission tomographic scan data: limitations imposed by resolution and background. J. Comput. Assit. Tomogr. 8, 514–522 (1984)
Kojima, A., Matsumoto, M., et al.: Effect of spatial resolution on SPECT quantification values. J. Nucl. Med. 30, 508–514 (1989)
King, M.A., Long, D.T., Brill, A.B.: SPECT volume quantitation: influence of spatial resolution, source size and shape, and voxel size. Med. Phys. 18, 1016–1024 (1991)
Da Silva, A.J., Tang, H.R., Wong, K.H., et al.: Absolute in vivo quantitation of myocardial activity. IEEE Trans. Nucl. Sci. 47, 1093–1098 (2000)
Liu, Y.H., Li, S., Bourke, B., Weyman, C., Sinusas, A.J.: A stochastic approach for quantification of hotspot focal uptake from cardiac SPECT imaging: a canine validation. J. Nucl. Cardiol. 12, S73 (2005)
Osher, S., Sethian, J.: Fronts propagating with curvature dependent speed: algorithms based on the Hamilton–Jacobi formulation. J. Comp. Phys. 79, 12–49 (1988)
Malladi, R., Sethian, J., Vemuri, B.: Shape modeling with front propagation: A level set approach. IEEE Trans. PAMI 17(2), 158–175 (1995)
Caselles, V., Kimmel, R., Sapiro, G.: Geodesic Active Contours. Int’l J. Comp. Vision 22(1), 61–79 (1997)
Marquardt, D.W.: An Algorithm for Least-Squares Estimation of Nonlinear Parameters. J. Soc. Indust. Appl. Math. 11, 431–441 (1963)
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© 2005 Springer-Verlag Berlin Heidelberg
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Li, S., Dobrucki, L.W., Sinusas, A.J., Liu, YH. (2005). A New Method for SPECT Quantification of Targeted Radiotracers Uptake in the Myocardium. In: Duncan, J.S., Gerig, G. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005. MICCAI 2005. Lecture Notes in Computer Science, vol 3750. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11566489_84
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DOI: https://doi.org/10.1007/11566489_84
Publisher Name: Springer, Berlin, Heidelberg
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