Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
3D Visualization and Interaction with Spatiotemporal X-ray Data to Minimize Radiation in Image-guided Surgery
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).ORCID iD: 0000-0003-2578-3403
KTH, School of Technology and Health (STH), Neuronic Engineering.
KTH, School of Technology and Health (STH), Neuronic Engineering.
2011 (English)In: 2011 24TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) / [ed] Olive, M; Solomonides, T, NEW YORK, NY: IEEE , 2011Conference paper, Published paper (Refereed)
Abstract [en]

Image-guided surgery (IGS) often depends on X-ray imaging, since pre-operative MRI, CT and PET scans do not provide an up-to-date internal patient view during the operation. X-rays introduce hazardous radiation, but long exposures for monitoring are often necessary to increase accuracy in critical situations. Surgeons often also take multiple X-rays from different angles, as X-rays only provide a distorted 2D perspective from the current viewpoint. We introduce a prototype IGS system that augments 2D X-ray images with spatiotemporal information using a motion tracking system, such that the use of X-rays can be reduced. In addition, an interactive visualization allows exploring 2D X-rays in timeline views and 3D clouds where they are arranged according to the viewpoint at the time of acquisition. The system could be deployed and used without time-consuming calibration, and has the potential to improve surgeons' spatial awareness, while increasing efficiency and patient safety.

Place, publisher, year, edition, pages
NEW YORK, NY: IEEE , 2011.
Series
IEEE International Symposium on Computer-Based Medical Systems, ISSN 1063-7125
Keyword [en]
data visualisation, diagnostic radiography, medical image processing, motion estimation, surgery
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-46837DOI: 10.1109/CBMS.2011.5999129ISI: 000295472700046Scopus ID: 2-s2.0-80052973896ISBN: 978-1-4577-1190-9 (print)OAI: oai:DiVA.org:kth-46837DiVA: diva2:454245
Conference
24th International Symposium on Computer-Based Medical Systems (CBMS). Univ W England, Bristol, ENGLAND. JUN 27-30, 2011
Note
QC 20111107Available from: 2011-11-07 Created: 2011-11-07 Last updated: 2011-11-07Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Olwal, Alex

Search in DiVA

By author/editor
Ioakeimidou, FoteiniOlwal, AlexNordberg, Axelvon Holst, Hans
By organisation
School of Computer Science and Communication (CSC)Neuronic Engineering
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 93 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf