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

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dc.contributor.authorLi, Yibao-
dc.contributor.authorShin, Jaemin-
dc.contributor.authorChoi, Yongho-
dc.contributor.authorKim, Junseok-
dc.date.accessioned2021-09-04T13:45:53Z-
dc.date.available2021-09-04T13:45:53Z-
dc.date.created2021-06-18-
dc.date.issued2015-08-
dc.identifier.issn1077-3142-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/92825-
dc.description.abstractWe 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. (C) 2015 Elsevier B.V. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherACADEMIC PRESS INC ELSEVIER SCIENCE-
dc.subjectSURFACE RECONSTRUCTION-
dc.subjectNUMERICAL-METHOD-
dc.subjectACTIVE CONTOURS-
dc.subjectINTERPOLATION-
dc.titleThree-dimensional volume reconstruction from slice data using phase-field models-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Junseok-
dc.identifier.doi10.1016/j.cviu.2015.02.001-
dc.identifier.scopusid2-s2.0-84930479648-
dc.identifier.wosid000356466800010-
dc.identifier.bibliographicCitationCOMPUTER VISION AND IMAGE UNDERSTANDING, v.137, pp.115 - 124-
dc.relation.isPartOfCOMPUTER VISION AND IMAGE UNDERSTANDING-
dc.citation.titleCOMPUTER VISION AND IMAGE UNDERSTANDING-
dc.citation.volume137-
dc.citation.startPage115-
dc.citation.endPage124-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusSURFACE RECONSTRUCTION-
dc.subject.keywordPlusNUMERICAL-METHOD-
dc.subject.keywordPlusACTIVE CONTOURS-
dc.subject.keywordPlusINTERPOLATION-
dc.subject.keywordAuthorImage segmentation-
dc.subject.keywordAuthorImage inpainting-
dc.subject.keywordAuthorVolume reconstruction-
dc.subject.keywordAuthorAllen-Cahn equation-
dc.subject.keywordAuthorCahn-Hilliard equation-
dc.subject.keywordAuthorMultigrid method-
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