Image registration for motion estimation in cardiac CT

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説明

Motion estimation is a very important method for improving image quality by compensating the cardiac motion at the best phase reconstructed. We tackle the cardiac motion estimation problem using an image registration approach. We compare the performance of three gradient-based registration methods on clinical data. In addition to simple gradient descent, we test the Nesterov accelerated descent and conjugate gradient algorithms. The results show that accelerated gradient methods provide significant speedup over conventional gradient descent with no loss of image quality.

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詳細情報 詳細情報について

  • CRID
    1870865117475871872
  • DOI
    10.1117/12.2043559
  • ISSN
    0277786X
  • データソース種別
    • OpenAIRE

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