IPSJ Transactions on Computer Vision and Applications
Online ISSN : 1882-6695
ISSN-L : 1882-6695
Breast MR Image Fusion by Deformable Implicit Polynomial (DIP)
Bo ZhengRyo IshikawaJun TakamatsuKatsushi IkeuchiTakaaki EndoKiyohide SatoTakayuki UenoTomoharu SugieMasakazu ToiShotaro KanaoKaori Togashi
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2013 Volume 5 Pages 99-103

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Abstract

MR Image fusion is desired in various image-guide breast surgeries. However it often suffers from the difficulty on dealing with large deformation of breast. This paper presents a novel method for efficiently modeling and inferring the physical parameters, including gravity, Young's modulus, Poisson's ratio, etc, which are important elements for handling the biomechanical deformations of breast with finite element model. Our method consists of two major steps: 1) deformation modeling and 2) non-rigid registration. The former builds a deformable implicit polynomial (DIP) model to encode the physical parameters according to deformation. The latter fast registers the prior DIP to the online breast image such that the image fusion can be achieved. Experimental results demonstrate the good performance of our method.

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© 2013 by the Information Processing Society of Japan
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