GPU-based 3D iceball modeling for fast cryoablation simulation and planning.
Fiche publication
Date publication
août 2019
Journal
International journal of computer assisted radiology and surgery
Auteurs
Membres identifiés du Cancéropôle Est :
Pr GANGI Afshin
Tous les auteurs :
Golkar E, Rao PP, Joskowicz L, Gangi A, Essert C
Lien Pubmed
Résumé
The elimination of abdominal tumors by percutaneous cryoablation has been shown to be an effective and less invasive alternative to open surgery. Cryoablation destroys malignant cells by freezing them with one or more cryoprobes inserted into the tumor through the skin. Alternating cycles of freezing and thawing produce an enveloping iceball that causes the tumor necrosis. Planning such a procedure is difficult and time-consuming, as it is necessary to plan the number and cryoprobe locations and predict the iceball shape which is also influenced by the presence of heating sources, e.g., major blood vessels and warm saline solution, injected to protect surrounding structures from the cold.
Mots clés
Cryoablation, GPU-based heat simulation, Iceball modeling, Preoperative planning
Référence
Int J Comput Assist Radiol Surg. 2019 Aug 12;: