2016 Summer Project Week/Uncertainty-aware Information Fusion

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  Projects List

Key Investigators

• Bojan Kocev, University of Bremen
• Sarah Frisken, BWH/HMS
• William Wells, BWH/HMS

Project Description

Uncertainty-aware Information Fusion for Real-time Soft Tissue Motion Estimation. This is part of Bojan's PhD thesis.

Objective

• Need to fuse motion prior and observations/measurements in an uncertainty-aware fashion.
• Stochastic processes are a very nice formal mathematical framework which allows for that.
• Estimating the motion signal value at a given location in the domain requires conditioning the motion prior on the observations.
• The conditioning requires the inversion of an n X n matrix (n is the number of observations).
• Time complexity O(n^3)

Approach, Plan

• Identify appropriate formalisms and, if needed, approximation approaches to make calculations fast enough for interventional use.

Progress

• Identified a number of possible approaches that could be used for speeding up the calculations. Implemented and tested one of these approaches.