Surface registration for use in interactive, image-guided liver surgery.

Surface registration for use in interactive, image-guided liver surgery.
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DOI:
10.3109/10929080009148867
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发表时间:
2000-01-01
期刊:
Computer aided surgery : official journal of the International Society for Computer Aided Surgery
影响因子:
--
通讯作者:
Dawant, B M
Dawant, B M
中科院分区:
其他
文献类型:
--
作者:
Herline, A J;Herring, J L;Dawant, B M

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目的:由于外部标志有限、血管分布丰富以及肝内解剖结构定义不准确,肝脏手术很困难。术中超声 (IOUS) 已被广泛用于克服这些困难,但受到其二维性质、用户间差异以及消融或切除技术的图像消除的限制。由于肝脏的解剖结构和术中肝韧带的切除使得基于内在或外在点的配准变得不切实际,因此我们实施了一种表面配准技术,将物理空间映射到 CT 图像空间,并在嵌入肿瘤目标的解剖肝脏模型上测试了该方法的准确性。 材料和方法:肝脏模型是由解剖学上正确的模具创建的,“肿瘤”嵌入在肝脏的实质内。使用 3 毫米切片进行螺旋 CT 扫描。使用光学活性位置传感器,根据解剖部分对肝脏表面进行数字化。进行表面配准,并提供内部肿瘤位置的 RMS 误差作为验证。进行了初始基于点的标记配准,并被认为是误差测量的“黄金标准”。结果:整个表面的表面配准误差为 2.9 毫米,嵌入目标的表面配准误差为 2.8 毫米。结论:这是一项初步研究,考虑使用表面配准来实现肝脏手术领域的物理到图像配准。
OBJECTIVE: Liver surgery is difficult because of limited external landmarks, significant vascularity, and inexact definition of intra-hepatic anatomy. Intra-operative ultrasound (IOUS) has been widely used in an attempt to overcome these difficulties, but is limited by its two-dimensional nature, inter-user variability, and image obliteration with ablative or resectional techniques. Because the anatomy of the liver and intra-operative removal of hepatic ligaments make intrinsic or extrinsic point-based registration impractical, we have implemented a surface registration technique to map physical space into CT image space, and have tested the accuracy of this method on an anatomical liver phantom with embedded tumor targets.MATERIALS AND METHODS: Liver phantoms were created from anatomically correct molds with "tumors" embedded within the substance of the liver. Helical CT scans were performed with 3-mm slices. Using an optically active position sensor, the surface of the liver was digitized according to anatomical segments. A surface registration was performed and RMS errors of the locations of internal tumors are presented as verification. An initial point-based marker registration was performed and considered the "gold standard" for error measurement.RESULTS: Errors for surface registration were 2.9 mm for the entire surface and 2.8 mm for embedded targets.CONCLUSION: This is an initial study considering the use of surface registration for the purpose of physical-to-image registration in the area of liver surgery.