Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm.
Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm.
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DOI：
10.1007/978-3-319-46726-9_16
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发表时间：
2016-10-01
期刊：
影响因子：
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通讯作者：
Taylor, Russell H
中科院分区：
文献类型：
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作者：
Billings, Seth D;Sinha, Ayushi;Taylor, Russell H
功能性内窥镜鼻窦手术（FESS）是一种用于治疗急性鼻窦炎和其他鼻窦疾病的外科手术。由于其微创性，FESS正迅速成为首选的治疗方法。然而，由于内窥镜的视野有限，外科医生依靠导航系统来引导他们进入鼻腔。最先进的导航系统报告的配准精度超过1毫米，这与鼻气道的大小相比是很大的。我们提出了一种包含多个视频特征的解剖约束视频ct配准算法。我们的算法在存在异常值时具有鲁棒性。我们还在模拟和活体数据上测试了我们的算法，并测试了其对退化初始化的准确性。
Functional endoscopic sinus surgery (FESS) is a surgical procedure used to treat acute cases of sinusitis and other sinus diseases. FESS is fast becoming the preferred choice of treatment due to its minimally invasive nature. However, due to the limited field of view of the endoscope, surgeons rely on navigation systems to guide them within the nasal cavity. State of the art navigation systems report registration accuracy of over 1mm, which is large compared to the size of the nasal airways. We present an anatomically constrained video-CT registration algorithm that incorporates multiple video features. Our algorithm is robust in the presence of outliers. We also test our algorithm on simulated and in-vivo data, and test its accuracy against degrading initializations.