4.7 Article

Medical image interpolation based on multi-resolution registration

期刊

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.camwa.2013.04.026

关键词

Image interpolation; Registration-based interpolation; L-2-gradient flow; Multi-resolution transformation; Shape feature preservation

资金

  1. NSFC [11101401, 81173663]
  2. NSFC key project [10990013]
  3. Funds for Creative Research Groups of China [11021101]
  4. NSF CAREER Award [OCI-1149591]
  5. Winters Foundation
  6. Direct For Computer & Info Scie & Enginr
  7. Office of Advanced Cyberinfrastructure (OAC) [1149591] Funding Source: National Science Foundation

向作者/读者索取更多资源

We present a novel registration-based image interpolation approach in this paper. The proposed method is divided into two steps: image registration and intensity interpolation. An image registration method is developed to construct a corresponding transformation, which is represented by the bicubic B-spline vector-valued function, between the given images so that the image features are well matched. To match features from coarse to fine, a multi-resolution strategy is applied with different numbers of B-spline control points adopted at various resolution levels. After registration, the intensity values of in-between images are calculated by linear/cubic interpolation along the matching lines. Experimental results demonstrate that our interpolation approach is effective, robust, and capable of producing continuously deformed in-between images with clear shape features. (C) 2013 Elsevier Ltd. All rights reserved.

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