Abstract
In this study, we propose a navigation algorithm that directly depicts a safe path for malignant tumors and cerebral thrombi while avoiding obstacles such as blood vessels, directly from DICOM data without using STL. For this purpose, we use a voxel-based algorithm, which we have recently proposed. In the voxel-based algorithm, the organ STL polyhedron is converted into a voxel lattice structure model, which is used to search for a safe path to the malignant tumor while avoiding blood vessels. Each voxel has a density that is the percentage of obstacles in its own space, and this density is used for retrieval, but such a density can also be created from a series of DICOM tomographic images placed in 3D space. Once the voxel lattice structure model is generated, the search can be performed using the voxel-based algorithm. It is possible to adjust which range of values in the DICOM data is considered as an obstacle, and it can be checked on the personal computer (PC) monitor.
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Acknowledgment
This study was supported partly by the 2017 Grants-in-Aid for Scientific Research (No. 20K04407 and 20K12053) from the Ministry of Education, Culture, Sports, Science and Technology, Japan.
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Kunii, T., Asano, M., Noborio, H. (2022). DICOM-Based Voxel-Supported Blood-Vessel-Avoiding Scalpel Navigation. In: Kurosu, M. (eds) Human-Computer Interaction. Technological Innovation. HCII 2022. Lecture Notes in Computer Science, vol 13303. Springer, Cham. https://doi.org/10.1007/978-3-031-05409-9_19
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DOI: https://doi.org/10.1007/978-3-031-05409-9_19
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