4D CT image reconstruction based on interpolated optical flow fields

Z. Ouksili*, H. Batatia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


In Computed tomography (CT) imaging, respiratory motions create artifacts that distort anatomic structures leading to serious difficulties in lung cancer diagnosis and treatment. 4D CT approaches try to remedy this problem by acquiring CT images synchronized to respiration. Reconstruction methods allow the correction of motions to create smooth images. However, such methods rely on the acquisition of a large number of images, increasing the risk of toxicity. In this paper, we develop a method to interpolate accurate CT images at any respiratory volume. The method consists of acquiring few images along with their corresponding respiratory volumes. The bidirectional registration of the two images bounding the target volume produces optical flow fields. The originality of our method lies in the volume-based interpolation of these vector fields at the target position. The weighted backward-mapping of the inverse of these fields produces the desired image. Experimentations using NCAT simulations and real chest images, acquired with RPM system, have been carried out. The results show the good potential of the proposed method.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Image Processing
Number of pages4
ISBN (Electronic)9781424479948
ISBN (Print)9781424479924
Publication statusPublished - 3 Dec 2010
Event17th IEEE International Conference on Image Processing 2010 - Hong Kong, Hong Kong
Duration: 26 Sept 201029 Sept 2010

Publication series

NameInternational Conference on Image Processing
ISSN (Print)1522-4880
ISSN (Electronic)2381-8549


Conference17th IEEE International Conference on Image Processing 2010
Abbreviated titleICIP 2010
Country/TerritoryHong Kong
CityHong Kong


  • 4DCT
  • Image interpolation
  • Image registration
  • Optical flow
  • Respiratory motion
  • Vector field inversion

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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