Abstract
Non-invasive imaging of small animal and its quantification techniques are needed to be evaluated by comparison with ex vivo image. To overcome the existing method, hand-operated comparison with the unaided eye observation, we present an algorithm that matches the target area in PET scanned in vivo with an autoradiography image acquired ex vivo. We applied a coregistration algorithm that uses voxel similarity to find the corresponding slices and to make quantitative measurements. Automatic matching of in vivo and ex vivo images is novel, and can provide better validation than manual matching techniques. © Springer-Verlag Berlin Heidelberg 2007.
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Song, S. M., Kim, M. J., Lee, J. M., Park, H. J., Kim, K. M., Cheon, G. J., & Kim, M. H. (2007). Coregistration of small animal PET and autoradiography for in vivo-ex vivo comparison. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4756 LNCS, pp. 822–830). https://doi.org/10.1007/978-3-540-76725-1_85
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