Four-dimensional non-rigid cardiac motion estimation

Qiulin Tang, Jochen Cammin, Somesh Srivastava, Katsuyuki Taguchi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


Electrocardiogram-gated cardiac CT reconstruction methods have been developed to reduce motion artifacts; however, projection data used in reconstruction are limited to those within gating time windows, resulting in large image noise. Motion compensated image reconstruction is capable of fully utilizing all projection data if a motion vector field is known. In this work, we propose a non-rigid four-dimensional image-based motion estimation method which uses a nested conjugated gradient method to minimize a cost function. The proposed method is implemented on GPU using CUDA, and its performance was verified with patient data.

Original languageEnglish
Title of host publicationMedical Imaging 2012
Subtitle of host publicationImage Processing
StatePublished - May 14 2012
Externally publishedYes
EventMedical Imaging 2012: Image Processing - San Diego, CA, United States
Duration: Feb 6 2012Feb 9 2012

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceMedical Imaging 2012: Image Processing
Country/TerritoryUnited States
CitySan Diego, CA


  • Conjugate gradient
  • MVF
  • Motion estimation


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