Capturing intraoperative deformations: research experience at Brigham and Women's Hospital
Capturing intraoperative deformations: research experience at Brigham and Women's Hospital
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DOI：
10.1016/j.media.2004.11.005
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发表时间：
2005-04-01
影响因子：
10.9
通讯作者：
Kikinis, R
中科院分区：
文献类型：
--
作者：
Warfield, SK;Haker, SJ;Kikinis, R
在神经外科手术过程中，神经外科医生的目标是在保留健康脑组织的同时尽可能多地切除病变组织。在过去的十年里，由于常规手术室的能力有限，外科医生无法看到关键的健康大脑结构和肿瘤边缘，因此，复杂的术中成像技术得到了发展，以增强可视化。然而，由于患者体位导致的刚性运动和手术干预导致的非刚性变形破坏了用于计划手术的术前数据与术中患者大脑结构之间的对应关系。在其他介入治疗中也面临着类似的挑战，例如肝脏冷冻消融或前列腺活检。我们已经开发了算法来模拟关键解剖结构的运动和系统实现，使我们能够从体积图像序列中估计关键解剖结构的变形，并以与手术决策兼容的速度准备术前和术中图像的最新融合可视化。本文回顾了布里格姆妇女医院的经验，通过开发和应用新的算法来捕捉术中变形，以支持图像引导治疗。(c) 2004 Elsevier B.V.版权所有
During neurosurgical procedures the objective of the neurosurgeon is to achieve the resection of as much diseased tissue as possible while achieving the preservation of healthy brain tissue. The restricted capacity of the conventional operating roorn to enable the surgeon to visualize critical healthy brain structures and tumor margin has lead, over the past decade, to the development of sophisticated intraoperative imaging techniques to enhance Visualization. However, both rigid motion due to patient placement and nonrigid deformations occurring as a consequence of the surgical intervention disrupt the correspondence between preoperative data used to plan surgery and the intraoperative configuration of the patient's brain. similar challenges are faced in other interventional therapies, such as in cryoablation of the liver, or biopsy of the prostate. We have developed algorithms to model the motion of key anatomical structures and system implementations that enable us to estimate the deformation of the critical anatomy from sequences Of volumetric images and to prepare updated fused visualizations of preoperative and intraoperative images at a rate compatible with surgical decision making. This paper reviews the experience at Brigham and Women's Hospital through the process of developing and applying novel algorithms for capturing intraoperative deformations in support of image guided therapy. (c) 2004 Elsevier B.V. All rights reserved.