A new method for registration-based medical image interpolation

David H. Frakes, Lakshmi P. Dasi, Kerem Pekkan, Hiroumi D. Kitajima, Kartik Sundareswaran, Ajit P. Yoganathan, Mark J.T. Smith

Research output: Contribution to journalArticlepeer-review

68 Scopus citations

Abstract

A new technique is presented for interpolating between grey-scale images in a medical data set. Registration between neighboring slices is achieved with a modified control grid interpolation algorithm that selectively accepts displacement field updates in a manner optimized for performance. A cubic interpolator is then applied to pixel intensities correlated by the displacement fields. Special considerations are made for efficiency, interpolation quality, and compression in the implementation of the algorithm. Experimental results show that the new method achieves good quality, while offering dramatic improvement in efficiency relative to the best competing method.

Original languageEnglish (US)
Article number4359065
Pages (from-to)370-377
Number of pages8
JournalIEEE Transactions on Medical Imaging
Volume27
Issue number3
DOIs
StatePublished - Mar 1 2008
Externally publishedYes

Keywords

  • Interpolation
  • Reconstruction
  • Registration

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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