A pre-operative planning framework for global registration of laparoscopic ultrasound to CT images.

A pre-operative planning framework for global registration of laparoscopic ultrasound to CT images.
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DOI:
10.1007/s11548-018-1799-2
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发表时间:
2018-08
影响因子:
3
通讯作者:
Clarkson MJ
Clarkson MJ
中科院分区:
工程技术3区
文献类型:
--
作者:
Ramalhinho J;Robu MR;Thompson S;Gurusamy K;Davidson B;Hawkes D;Barratt D;Clarkson MJ

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腹腔镜超声(LUS)通过对血管等内部结构进行实时成像,提高了腹腔镜肝切除术的安全性。然而,LUS探头可能很难使用,而且许多肿瘤是等回声的,因此看不到。已提出将LU配准到术前CT或MR扫描作为图像引导的一种方法。然而,与整个肝脏相比,探针的视野非常小,这使得注册任务具有挑战性,并依赖于非常准确的初始化。我们建议使用特定于对象的规划框架,该框架提供关于哪些解剖肝脏区域的信息,可以获得足够独特的血管数据,以实现全局最优的初始配准。为了评估预测的准确性和可靠性,在术前CT血管树的不同区域上使用了基于血管的刚性配准。该规划框架在一个猪的受试者上进行了测试,我们从肝脏的不同部分获得了5次独立的LU数据扫描。用血管分支点的目标配准误差来衡量精度。基于血管中心线的全局配准被应用于5个数据集。在5个案例中,有3个注册成功并符合规划。进一步的腹部充气CT扫描测试表明,该框架可以为所有5例病例提供有价值的信息。我们引入了一个规划框架,可以指导外科医生收集多少LU数据,以便提供可靠的全球唯一注册,而不需要初始的手动比对。这可能会提高这些方法在临床上的可用性。
Laparoscopic ultrasound (LUS) enhances the safety of laparoscopic liver resection by enabling real-time imaging of internal structures such as vessels. However, LUS probes can be difficult to use, and many tumours are iso-echoic and hence are not visible. Registration of LUS to a pre-operative CT or MR scan has been proposed as a method of image guidance. However, the field of view of the probe is very small compared to the whole liver, making the registration task challenging and dependent on a very accurate initialisation. We propose the use of a subject-specific planning framework that provides information on which anatomical liver regions it is possible to acquire vascular data that is unique enough for a globally optimal initial registration. Vessel-based rigid registration on different areas of the pre-operative CT vascular tree is used in order to evaluate predicted accuracy and reliability. The planning framework is tested on one porcine subject where we have taken 5 independent sweeps of LUS data from different sections of the liver. Target registration error of vessel branching points was used to measure accuracy. Global registration based on vessel centrelines is applied to the 5 datasets. In 3 out of 5 cases registration is successful and in agreement with the planning. Further tests with a CT scan under abdominal insufflation show that the framework can provide valuable information in all of the 5 cases. We have introduced a planning framework that can guide the surgeon on how much LUS data to collect in order to provide a reliable globally unique registration without the need for an initial manual alignment. This could potentially improve the usability of these methods in clinic.
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