A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency
DC Field | Value | Language |
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dc.contributor.author | Jung, Younhyun | - |
dc.contributor.author | Kim, Jinman | - |
dc.contributor.author | Bi, Lei | - |
dc.contributor.author | Kumar, Ashnil | - |
dc.contributor.author | Feng, David Dagan | - |
dc.contributor.author | Fulham, Michael | - |
dc.date.available | 2020-10-20T06:44:23Z | - |
dc.date.created | 2020-06-10 | - |
dc.date.issued | 2019-05 | - |
dc.identifier.issn | 1861-6410 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/78577 | - |
dc.description.abstract | PurposeOur aim was to develop an interactive 3D direct volume rendering (DVR) visualization solution to interpret and analyze complex, serial multi-modality imaging datasets from positron emission tomography-computed tomography (PET-CT).MethodsOur approach uses: (i) a serial transfer function (TF) optimization to automatically depict particular regions of interest (ROIs) over serial datasets with consistent anatomical structures; (ii) integration of a serial segmentation algorithm to interactively identify and track ROIs on PET; and (iii) parallel graphics processing unit (GPU) implementation for interactive visualization.ResultsOur DVR visualization more easily identifies changes in ROIs in serial scans in an automated fashion and parallel GPU computation which enables interactive visualization.ConclusionsOur approach provides a rapid 3D visualization of relevant ROIs over multiple scans, and we suggest that it can be used as an adjunct to conventional 2D viewing software from scanner vendors. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER HEIDELBERG | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY | - |
dc.title | A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000471311100001 | - |
dc.identifier.doi | 10.1007/s11548-019-01916-2 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, v.14, no.5, pp.733 - 744 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85060332908 | - |
dc.citation.endPage | 744 | - |
dc.citation.startPage | 733 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY | - |
dc.citation.volume | 14 | - |
dc.citation.number | 5 | - |
dc.contributor.affiliatedAuthor | Jung, Younhyun | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Direct volume rendering | - |
dc.subject.keywordAuthor | PET-CT visualization | - |
dc.subject.keywordAuthor | Transfer function | - |
dc.subject.keywordAuthor | Serial segmentation | - |
dc.subject.keywordPlus | CELLULAR-AUTOMATA | - |
dc.subject.keywordPlus | SEGMENTATION | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalResearchArea | Surgery | - |
dc.relation.journalWebOfScienceCategory | Engineering, Biomedical | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Surgery | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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