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