Cited time in webofscience Cited time in scopus

Full metadata record

DC Field Value Language
dc.contributor.author Ha, Ho-Gun -
dc.contributor.author Jung, Kyunghwa -
dc.contributor.author Lee, Seongpung -
dc.contributor.author Lee, HyunKi -
dc.contributor.author Hong, Jaesung -
dc.date.accessioned 2021-10-01T06:30:15Z -
dc.date.available 2021-10-01T06:30:15Z -
dc.date.created 2021-09-30 -
dc.date.issued 2021-10 -
dc.identifier.issn 0897-1889 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/15377 -
dc.description.abstract The C-arm X-ray system is a common intraoperative imaging modality used to observe the state of a fractured bone in orthopedic surgery. Using C-arm, the bone fragments are aligned during surgery, and their lengths and angles with respect to the entire bone are measured to verify the fracture reduction. Since the field-of-view of the C-arm is too narrow to visualize the entire bone, a panoramic X-ray image is utilized to enlarge it by stitching multiple images. To achieve X-ray image stitching with feature detection, the extraction of accurate and densely matched features within the overlap region between images is imperative. However, since the features are highly affected by the properties and sizes of the overlap regions in consecutive X-ray images, the accuracy and density of matched features cannot be guaranteed. To solve this problem, a heterogeneous stitching of X-ray images was proposed. This heterogeneous stitching was completed according to the overlap region based on homographic evaluation. To acquire sufficiently matched features within the limited overlap region, integrated feature detection was used to estimate a homography. The homography was then evaluated to confirm its accuracy. When the estimated homography was incorrect, local regions around the matched feature were derived from integrated feature detection and substituted to re-estimate the homography. Successful X-ray image stitching of the C-arm was achieved by estimating the optimal homography for each image. Based on phantom and ex-vivo experiments using the proposed method, we confirmed a panoramic X-ray image construction that was robust compared to the conventional methods. © 2021, Society for Imaging Informatics in Medicine. -
dc.language English -
dc.publisher Springer Science and Business Media Deutschland GmbH -
dc.title Heterogeneous Stitching of X-ray Images According to Homographic Evaluation -
dc.type Article -
dc.identifier.doi 10.1007/s10278-021-00503-9 -
dc.identifier.wosid 000695473600003 -
dc.identifier.scopusid 2-s2.0-85114703270 -
dc.identifier.bibliographicCitation Journal of Digital Imaging, v.34, no.5, pp.1249 - 1263 -
dc.description.isOpenAccess FALSE -
dc.subject.keywordAuthor Panoramic imaging -
dc.subject.keywordAuthor C-arm -
dc.subject.keywordAuthor Fluoroscopy -
dc.subject.keywordAuthor Image stitching -
dc.subject.keywordPlus Feature extraction -
dc.subject.keywordPlus Robotic arms -
dc.subject.keywordPlus Surgery -
dc.subject.keywordPlus Bone fragments -
dc.subject.keywordPlus Conventional methods -
dc.subject.keywordPlus Feature detection -
dc.subject.keywordPlus Fracture reduction -
dc.subject.keywordPlus Fractured bones -
dc.subject.keywordPlus Intra-operative imaging -
dc.subject.keywordPlus Orthopedic surgery -
dc.subject.keywordPlus Overlap region -
dc.subject.keywordPlus Image processing -
dc.citation.endPage 1263 -
dc.citation.number 5 -
dc.citation.startPage 1249 -
dc.citation.title Journal of Digital Imaging -
dc.citation.volume 34 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Radiology, Nuclear Medicine & Medical Imaging -
dc.relation.journalWebOfScienceCategory Radiology, Nuclear Medicine & Medical Imaging -
dc.type.docType Article -

qrcode

  • twitter
  • facebook
  • mendeley

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE