Toward optimal matching for 3D reconstruction of brachytherapy seeds
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Prostate brachytherapy seed reconstruction using c-arm rotation measurement and motion compensation
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
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In prostate brachytherapy, x-ray fluoroscopy has been used for intra-operative dosimetry to provide qualitative assessment of implant quality. More recent developments have made possible 3D localization of the implanted radioactive seeds. This is usually modeled as an assignment problem and solved by resolving the correspondence of seeds. It is, however, NP-hard, and the problem is even harder in practice due to the significant number of hidden seeds. In this paper, we propose an algorithm that can find an optimal solution from multiple projection images with hidden seeds. It solves an equivalent problem with reduced dimensional complexity, thus allowing us to find an optimal solution in polynomial time. Simulation results show the robustness of the algorithm. It was validated on 5 phantom and 18 patient datasets, successfully localizing the seeds with detection rate of *** 97.6 % and reconstruction error of ≤ 1.2 mm. This is considered to be clinically excellent performance.