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Computer-enhanced preoperative planning of soft tissue sarcoma surgery

机译:软组织肉瘤手术的计算机增强术前计划

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When dealing with soft-tissue sarcomas of the extremities and aiming to perform limb-sparing surgery, it is mandatory to define the extent of the tumor and the connections with the surrounding tissues and anatomic structures. We started with MR images of 256/spl times/256 pixels (each pixel represented by 12 bits), at the same slice location in a given patient. A new single image representation of all three images is then generated by color compositing these into a 24-bit RGB framebuffer on a HP 900/735 workstation. PD was mapped to green, T1 to blue and T2 to red. This environment allows the creation of a spatial manipulation system in a 3D object space as well as the interactive navigation of the operator through the same space. The surgeon can thus easily discriminate tissues by their color characteristics. The color statistics of the image can be used to interactively segment out different tissues for removal and/or closer inspection. All this, in our experience, has greatly facilitated the simulation of soft-tissue sarcoma resections In our opinion, this computer-based technique, aiming to enhance the preoperative-planning's accuracy in the surgical management of soft-tissue sarcoma of the extremities, aids in performing a radical conservative eradication of the malignancy.
机译:当处理四肢的软组织肉瘤并进行保留肢体手术时,必须定义肿瘤的范围以及与周围组织和解剖结构的连接。我们从给定患者在相同切片位置的256 / spl次/ 256像素(每个像素用12位表示)的MR图像开始。然后,通过将所有三个图像进行颜色合成到HP 900/735工作站上的24位RGB帧缓冲区中,生成新的单个图像表示形式。 PD映射为绿色,T1映射为蓝色,T2映射为红色。这种环境允许在3D对象空间中创建空间操纵系统,并允许操作员在同一空间中进行交互式导航。因此,外科医生可以通过其颜色特征容易地区分组织。图像的颜色统计数据可用于交互式地分割出不同的组织,以进行去除和/或仔细检查。根据我们的经验,所有这些都极大地促进了软组织肉瘤切除术的模拟。在我们看来,这种基于计算机的技术旨在提高术前计划在四肢软组织肉瘤手术管理中的准确性,彻底根除恶性肿瘤。

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