A coherent point drift algorithm for breast image registration via surface markers
Date
2017-03-01
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Abstract
Breast Magnetic Resonance Imaging (MRI) is a reliable imaging tool for localization and
evaluation of lesions prior to breast conserving surgery (BCS). MR images typically will
be used to determine the size and location of the tumours before making the incision in
order to minimize the amount of tissue excised. The arm position and configuration of
the breast during and prior to surgery are different and one question is whether it would
be possible to match the two configurations. This matching process can potentially be
used in development of tools to guide surgeons in the incision process. Recently, a Thin-
Plate-Spline (TPS) algorithm has been proposed to assess the feasibility of breast tissue
matching using fiducial surface markers in two different arm positions. The registration
algorithm uses the surface markers only and does not employ the image intensities. In
this Thesis, I apply and evaluate a coherent point drift (CPD) algorithm for registration
of 3D breast MR images of six patient volunteers. In particular, we evaluate the results
of the previous TPS registration technique to the proposed rigid, affine, and deformable
CPD registration algorithms on the same patient datasets. The results suggest that the
CPD deformable registration algorithm is superior in correcting the motion of the breast
compared to CPD rigid, affine and TPS registration algorithms. The CPD registration
results reported in this thesis took 0.2 to 0.4 seconds, which is significantly lower than the
computation time using TPS (under a minute).
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Keywords
Image registration, Coherent point drift algorithm, Breast MRI