We developed a discrete tomography method for prostate implant reconstructions using only a limited number of X-ray projection images. A 3D voxel volume is reconstructed by back-projection and using distance maps generated from the projection images. The true seed locations are extracted from the voxel volume while false positive seeds are eliminated using a novel optimal geometry coverage model. The attractive feature of our method is that it does not require exact seed segmentation of the X-ray images and it yields near 100% correct reconstruction from only six images with an average reconstruction accuracy of 0.86 mm (std=0.46mm). © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Liu, X., Jain, A. K., & Fichtinger, G. (2007). Prostate implant reconstruction with discrete tomography. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4791 LNCS, pp. 734–742). Springer Verlag. https://doi.org/10.1007/978-3-540-75757-3_89
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