2012 Summer Project Week:Fast Fiducial Registration

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  Projects List

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  AMIGO Surgery Suite

Key Investigators

• IOWA: Dave Welch, Hans Johnson
• BWH: Nicole Aucoin, Ron Kikinis

Objective

We want to develop a quick (< 10 min.) affine-based registration between multi-modality images for use in the AMIGO surgery suite. This application should support a fast registration using a small number of fiducials (3-5) and result in an ROI chosen in the fixed image accurately registered in the moving image.

Approach, Plan

We will begin by creating a GUI for users to pick corresponding fiducials in both images. To further speed the registration, we will build a GUI for users to manually register the fiducals before the registration algorithm begins. Next, we will use the fast registration method in the BRAINS tools to achieve the speed desired. Finally, we will provide the registered image and it's ROI as output to Slicer.

Progress

• (support added to Slicer4 to load Slicer3 fiducial lists)
• (Began design and testing of GUI)
• (Successfully registered sample data using fiducials)

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Delivery Mechanism

This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)

1. ITK Module - No
2. Slicer Module
   1. Built-in - No
   2. Extension -- commandline - Yes
   3. Extension -- loadable - Yes
3. Other (Please specify) - No

References