Voxel-Based Route-Search Algorithm for Tumor Navigation and Blood Vessel Avoidance
Voxel-Based Route-Search Algorithm for Tumor Navigation and Blood Vessel Avoidance
复制标题
基于体素的肿瘤导航和血管避开的路径搜索算法
DOI：
10.1007/978-3-030-78465-2_41
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Hiroshi Noborio
中科院分区：
文献类型：
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作者：
Takahiro Kunii;Miho Asano;Hiroshi Noborio
在这项研究中，我们提出了一种算法，在3D体素空间中确定从肝脏表面到其恶性肿瘤的简单形状的手术路径。该方法与磁共振成像(MRI)或计算机断层成像(CT)采集的医学数字成像和通信标准(DICOM)具有良好的亲和力。它还解释了体素密度，体素密度反映了沿着切割路径存在血管的概率。该算法选择了一条避开高密度体素和产生它们的缠绕血管的路径。
In this study, we propose an algorithm that determines a simple-shaped surgical path from the liver surface to its malignant tumor in 3D voxel space. The method has a good affinity with DICOM (Digital Imaging and Communications in Medicine standards) captured by MRI (Magnetic Resonance Imaging) or CT (computed tomography). It also accounts for voxel density, which reflects the probability of the existence of blood vessels along the cutting path. The algorithm selects a path that avoids high-density voxels and the entangled blood vessels that spawn them.
DOI：
10.1007/978-3-030-49065-2_42
发表时间：
2020-07
期刊：
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影响因子：
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作者：
H. Noborio;Kiyomi Kawai;Kaoru Watanabe;Katsunori Tachibana;Takahiro Kunii;Kiminori Mizushino
通讯作者：
H. Noborio;Kiyomi Kawai;Kaoru Watanabe;Katsunori Tachibana;Takahiro Kunii;Kiminori Mizushino