From Multidisciplinary Computional Anatomy
- 2016年11月28日（月） 13:15-14:45
- 東京農工大学 小金井キャンパス 3号館 210号室
- A multiscale modelling framework for the liver-2
- Dr Harvey Ho(The Univ. of Auckland)
- The Auckland Virtual Liver project was initiated by Prof Peter Hunter in 2010 at the Auckland Bioengineering Institute, The University of Auckland, New Zealand. We use computational modeling techniques to assist pre-surgical planning and physiological simulations. The patient-specific models are digitized from cross-sectional images, where liver parenchyma, vasculature and bile structures are constructed using a multi-dimensional finite element mesh and can be deformed in real-time. An important aspect of the project is the investigation of hepatic circulation at the macro- and micro-scale levels, for which we have developed multi-dimensional models. The microscale circulation model at sinusoidal level can then be coupled with intra- and inter-cellular transportation and molecular reactions. In this presentation I will briefly outline the technologies used in the above projects and the current ongoing MedTech CoRE Flagship project through which we can collaborate with other New Zealand institutions.
- Toward augmented reality aided tumour ablation
- Mr.David Yu(The Univ.of Auckland)
- Computer assisted surgery is becoming more accepted by surgeons, and is a rapidly growing area of exploration. We investigated the use of a marker-based tracking system for the alignment of virtual objects to real world objects, which allows for the tip of keyhole surgery instruments, such as ablation probes, to be located in a virtual 3D scene. I will discuss two camera modalities that are used to gather 3D information, namely the Kinect V2 and the OvrVision Pro. In addition, I will discuss a scenario in minimal invasive surgeries where only a stereo-laparoscopic camera can be used to visualise the surface of the liver to the surgeons. This means that surgeons will have to estimate the position of internal structures (blood vessels, tumours, etc) of the liver by using pre-operative data. Additionally, the deformation of the liver due to respiratory and cardiac motion makes it even harder to localise intra-hepatic geometries. I will introduce an Augmented Finite Element Method (AFEM) which is to be used to track the displacement and deformation of soft organs and their internal structures.