Ramalhinho, J; Robu, MR; Thompson, S; Gurusamy, K; Davidson, B; Hawkes, D; Barratt, D; Ramalhinho, J; Robu, MR; Thompson, S; Gurusamy, K; Davidson, B; Hawkes, D; Barratt, D; Clarkson, MJ; - view fewer (2018) A pre-operative planning framework for global registration of laparoscopic ultrasound to CT images. International Journal of Computer Assisted Radiology and Surgery , 13 (8) pp. 1177-1186. 10.1007/s11548-018-1799-2.

Text Ramalhinho2018_APre-operativePlanningFramewor.pdf - Published Version Available under License : See the attached licence file. Download (2MB)

Abstract

PURPOSE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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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