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  • Koulaouzidis, AnastasiosRoyal Infirmary of Edinburgh (författare)

Novel experimental and software methods for image reconstruction and localization in capsule endoscopy

  • Artikel/kapitelEngelska2018

Förlag, utgivningsår, omfång ...

  • 2018-02-01
  • Georg Thieme Verlag KG,2018

Nummerbeteckningar

  • LIBRIS-ID:oai:lup.lub.lu.se:ed67e2fa-2591-4d02-be94-df0099e5fb03
  • https://lup.lub.lu.se/record/ed67e2fa-2591-4d02-be94-df0099e5fb03URI
  • https://doi.org/10.1055/s-0043-121882DOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:art swepub-publicationtype
  • Ämneskategori:ref swepub-contenttype

Anmärkningar

  • Background and study aims : Capsule endoscopy (CE) is invaluable for minimally invasive endoscopy of the gastrointestinal tract; however, several technological limitations remain including lack of reliable lesion localization. We present an approach to 3D reconstruction and localization using visual information from 2D CE images.Patients and methods : Colored thumbtacks were secured in rows to the internal wall of a LifeLike bowel model. A PillCam SB3 was calibrated and navigated linearly through the lumen by a high-precision robotic arm. The motion estimation algorithm used data (light falling on the object, fraction of reflected light and surface geometry) from 2D CE images in the video sequence to achieve 3D reconstruction of the bowel model at various frames. The ORB-SLAM technique was used for 3D reconstruction and CE localization within the reconstructed model. This algorithm compared pairs of points between images for reconstruction and localization.Results: As the capsule moved through the model bowel 42 to 66 video frames were obtained per pass. Mean absolute error in the estimated distance travelled by the CE was 4.1 ± 3.9 cm. Our algorithm was able to reconstruct the cylindrical shape of the model bowel with details of the attached thumbtacks. ORB-SLAM successfully reconstructed the bowel wall from simultaneous frames of the CE video. The "track" in the reconstruction corresponded well with the linear forwards-backwards movement of the capsule through the model lumen.Conclusion: The reconstruction methods, detailed above, were able to achieve good quality reconstruction of the bowel model and localization of the capsule trajectory using information from the CE video and images alone.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Iakovidis, Dimitris KUniversity of Thessaly (författare)
  • Yung, Diana ERoyal Infirmary of Edinburgh (författare)
  • Mazomenos, Evangelos (författare)
  • Bianchi, Federico (författare)
  • Karagyris, Alexandros (författare)
  • Dimas, GeorgeUniversity of Thessaly (författare)
  • Stoyanov, DanailUniversity College London (författare)
  • Thorlacius, HenrikLund University,Lunds universitet,Kirurgi,Forskargrupper vid Lunds universitet,Surgery,Lund University Research Groups(Swepub:lu)kir-hth (författare)
  • Toth, ErvinSkåne University Hospital(Swepub:lu)ront-eto (författare)
  • Ciuti, GastoneScuola Normale Superiore di Pisa (författare)
  • Royal Infirmary of EdinburghUniversity of Thessaly (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Endoscopy International Open: Georg Thieme Verlag KG6:2, s. 205-2102364-37222196-9736

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