Three-dimensional volume reconstruction from slice data using phase-field models

Yibao Li, Jaemin Shin, Yongho Choi, Junseok Kim

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Abstract We propose the application of a phase-field framework for three-dimensional volume reconstruction using slice data. The proposed method is based on the Allen-Cahn and Cahn-Hilliard equations, and the algorithm consists of two steps. First, we perform image segmentation on the given raw data using a modified Allen-Cahn equation. Second, we reconstruct a three-dimensional volume using a modified Cahn-Hilliard equation. In the modified Cahn-Hilliard equation, a fidelity term is introduced to keep the solution close to the slice data. The numerical methods use a hybrid method and an unconditionally stable nonlinear splitting scheme. The resulting discrete equations are solved using a multigrid method. The experiments on synthetic and real medical images are performed to demonstrate the accuracy and efficiency of the proposed method.

Original languageEnglish
Article number2215
Pages (from-to)115-124
Number of pages10
JournalComputer Vision and Image Understanding
Volume137
DOIs
Publication statusPublished - 2015 Jun 2

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Image segmentation
Numerical methods
Experiments

Keywords

  • Allen-Cahn equation
  • Cahn-Hilliard equation
  • Image inpainting
  • Image segmentation
  • Multigrid method
  • Volume reconstruction

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Three-dimensional volume reconstruction from slice data using phase-field models. / Li, Yibao; Shin, Jaemin; Choi, Yongho; Kim, Junseok.

In: Computer Vision and Image Understanding, Vol. 137, 2215, 02.06.2015, p. 115-124.

Research output: Contribution to journalArticle

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