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User-data-guided Multistep Volume manipulation Based on Dynamic Inverse Displacement Field

Visualization tools using non physically based deformations are a cost effective method in solving the general problem of occlusion. However, in many cases deformation is a step-by-step dynamic procedure, such as in surgery and volume animation. In this work, we propose a volume deformation framework that facilitates step-by-step volume manipulation based on dynamic inverse displacement field. The inverse displacement field is used to keep a record of all deformations on the volume and is updated at each step. Then, multistep volume manipulation is described as the composition of two manipulations. To protect continuity of the dynamic inverse displacement field, we propose a two-step reconstruction algorithm for the dynamic inverse displacement field. In the mean time, we also propose a method to help localize the displacement map to enable a focus+context view based upon the feature of interest. This can help automate the deformation steps and focus those steps on a particular feature. A normal composition approach based on deformation procedure is proposed for estimating continuous normal. The experiments show that our approach can be directly applied in surgery preplanning and volume animation.

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Brain
(a)                                                              (b)                                                       (c)                                                      (d)
The illustration of multi-step manipulation about Craniotomy. a) The skin is peeled; b) a part of skull is removed; c) the bone flap is split; d) Implanting deep brain simulators for treatment of Parkinson’s disease, epilepsy and cerebellar tremor. (http://www.skullbaseinstitute.com/animations.htm).



(e)                                                              (f)                                                       (g)                                                      (h)
The illustration of multistep volume manipulation on CT Head dataset is the series of images from e) to h). e) Depicts the process of peeling the skin; f) The surgeon can pull the skin once a cut has been made. g) When the skin is peeled, skull has to be cut into, to get a view of the brain, this steps shows the peeling/cutting of skull; h) Getting a clear view of the brain.

 

 


Multistep volume manipulation on CT Head data.

 

 


Two step volume manipulation for Foot data

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