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Integrated Segmentation and Interpolation of Sparse Data / Adeline Paiement; Majid Mirmehdi; Xianghua Xie; Mark C. K. Hamilton

IEEE Transactions on Image Processing, Volume: 23, Issue: 1, Pages: 110 - 125

Swansea University Author: Xie, Xianghua

DOI (Published version): 10.1109/TIP.2013.2286903

Abstract

This paper addresses the two inherently related problems of segmentation and interpolation of 3D and 4D sparse data by integrating integrate these stages in a level set framework. The method supports any spatial configurations of sets of 2D slices having arbitrary positions and orientations. We intr...

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Published in: IEEE Transactions on Image Processing
Published: 2014
URI: https://cronfa.swan.ac.uk/Record/cronfa18012
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Abstract: This paper addresses the two inherently related problems of segmentation and interpolation of 3D and 4D sparse data by integrating integrate these stages in a level set framework. The method supports any spatial configurations of sets of 2D slices having arbitrary positions and orientations. We introduce a new level set scheme based on the interpolation of the level set function by radial basis functions. The proposed method is validated quantitatively and/or subjectively on artificial data and MRI and CT scans and is compared against the traditional sequential approach.
Keywords: Image Segmentation, Image Registration, Data Reconstruction, Integrated Segmentation and Registration, Level Set Method
College: College of Science
Issue: 1
Start Page: 110
End Page: 125