An in vivo porcine dataset and evaluation methodology to measure soft-body laparoscopic liver registration accuracy with an extended algorithm that handles collisions.

Date publication

mai 2019

Journal

International journal of computer assisted radiology and surgery

Auteurs

Membres identifiés du Cancéropôle Est :
Pr MARESCAUX Jacques

Tous les auteurs :
Modrzejewski R, Collins T, Seeliger B, Bartoli A, Hostettler A, Marescaux J

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/31147817

Résumé

The registration of preoperative 3D images to intra-operative laparoscopic 2D images is one of the main concerns for augmented reality in computer-assisted surgery. For laparoscopic liver surgery, while several algorithms have been proposed, there is neither a public dataset nor a systematic evaluation methodology to quantitatively evaluate registration accuracy.

Mots clés

Augmented reality, Deformable registration, Evaluation dataset

Référence

Int J Comput Assist Radiol Surg. 2019 May 30;: