uu.seUppsala universitets publikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
SoftCut:: A Virtual Planning Tool for Soft Tissue Resection on CT Images
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Bildanalys och människa-datorinteraktion.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Avdelningen för visuell information och interaktion.
Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kirurgiska vetenskaper, Plastikkirurgi.ORCID-id: 0000-0001-9590-2039
Vise andre og tillknytning
2018 (engelsk)Inngår i: Medical Image Understanding and Analysis / [ed] Mark Nixon; Sasan Mahmoodi; Reyer Zwiggelaar, Cham: Springer, 2018, Vol. 894, s. 299-310Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

With the increasing use of three-dimensional (3D) models and Computer Aided Design (CAD) in the medical domain, virtual surgical planning is now frequently used. Most of the current solutions focus on bone surgical operations. However, for head and neck oncologic resection, soft tissue ablation and reconstruction are common operations. In this paper, we propose a method to provide a fast and efficient estimation of shape and dimensions of soft tissue resections. Our approach takes advantage of a simple sketch-based interface which allows the user to paint the contour of the resection on a patient specific 3D model reconstructed from a computed tomography (CT) scan. The volume is then virtually cut and carved following this pattern. From the outline of the resection defined on the skin surface as a closed curve, we can identify which areas of the skin are inside or outside this shape. We then use distance transforms to identify the soft tissue voxels which are closer from the inside of this shape. Thus, we can propagate the shape of the resection inside the soft tissue layers of the volume. We demonstrate the usefulness of the method on patient specific CT data.

sted, utgiver, år, opplag, sider
Cham: Springer, 2018. Vol. 894, s. 299-310
Serie
Communications in Computer and Information Science
HSV kategori
Forskningsprogram
Datoriserad bildbehandling
Identifikatorer
URN: urn:nbn:se:uu:diva-364351DOI: 10.1007/978-3-319-95921-4_28ISBN: 978-3-319-95920-7 (tryckt)OAI: oai:DiVA.org:uu-364351DiVA, id: diva2:1258709
Konferanse
22nd Medical Image Understanding and Analysis (MIUA), Southampton, UK, 2018
Tilgjengelig fra: 2018-10-25 Laget: 2018-10-25 Sist oppdatert: 2019-03-14bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fullteksthttps://www.springer.com/la/book/9783319959207

Personposter BETA

Nysjö, FredrikMalmberg, FilipThor, AndreasRodriguez-Lorenzo, AndresNyström, Ingela

Søk i DiVA

Av forfatter/redaktør
Nysjö, FredrikMalmberg, FilipThor, AndreasRodriguez-Lorenzo, AndresNyström, Ingela
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 252 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf