2010 Winter Project Week MRI Reconstruction by Registration

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Home < 2010 Winter Project Week MRI Reconstruction by Registration

Key Investigators

  • BWH: Ben Schwartz
  • BWH: Sandy Wells

Objective

I am investigating the use of feedback between MRI reconstruction and image registration to deduce both motion parameters and anatomy from a single dataset. My objective for the week is to demonstrate a connected chain from initial reconstruction -> image registration -> new k-space positions -> new reconstruction.

Approach, Plan

Start with initial image sequence (~40 Fiesta images of a moving tomato, tagged with a position parameter). Perform rigid registration between all images in the sequence, using some existing toolbox. Assign registration parameters to the center-of-kspace moment. Fit a curve to translate the position parameter into registration parameters. Evaluate this curve to determine the registration parameters for each line of k-space. Use these deformations to evaluate the true k-space locations, and perform non-uniformly sample reconstruction using some existing toolbox. Repeat as necessary.

Progress

Day 0: I have a dataset, on which initial reconstruction has not yet been performed. This dataset represents images of a tomato moving in a curved path in-plane, taken with Fiesta. Every MRI echo is tagged with a scalar position parameter that is roughly monotone and smooth with position, but not precisely proportional.

References