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Development of a computer assisted system aimed at RFA liver surgery.
Mundeleer, Laurent; Wikler, David; Leloup, Thierry; Warzée, Nadine.
Afiliação
  • Mundeleer L; Laboratory of Image Synthesis and Analysis, Applied Sciences Faculty, Université Libre de Bruxelles, 1050 Bruxelles, Belgium. lmundele@ulb.ac.be
Comput Med Imaging Graph ; 32(7): 611-21, 2008 Oct.
Article em En | MEDLINE | ID: mdl-18723321
Radio frequency ablation (RFA) is a minimally invasive treatment for either hepatocellular carcinoma or metastasis liver carcinoma. In order to resect large lesions, the surgeon has to perform multiple time-consuming destruction cycles and reposition the RFA needle for each of them. The critical step in handling a successful ablation and preventing local recurrence is the correct positioning of the needle. For small tumors, the surgeon places the middle of the active needle tip in the center of the tumor under intra-operative ultrasound guidance. When one application is not enough to cover the entire tumor, the surgeon needs to repeat the treatment after repositioning of the needle, but US guidance is obstructed by the opacity stemming from the first RFA application. In this case the surgeon can only rely on anatomical knowledge and the repositioning of the RFA needle becomes a subjective task limiting the treatment accuracy. We have developed a computer assisted surgery guidance application for this repositioning procedure. Our software application handles the complete process from preoperative image analysis to tool tracking in the operating room. Our framework is mostly used for this RFA procedure, but is also suitable for any other medical or surgery application.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reconhecimento Automatizado de Padrão / Inteligência Artificial / Ablação por Cateter / Ultrassonografia de Intervenção / Cirurgia Assistida por Computador / Hepatectomia Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: Comput Med Imaging Graph Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2008 Tipo de documento: Article País de afiliação: Bélgica

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reconhecimento Automatizado de Padrão / Inteligência Artificial / Ablação por Cateter / Ultrassonografia de Intervenção / Cirurgia Assistida por Computador / Hepatectomia Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: Comput Med Imaging Graph Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2008 Tipo de documento: Article País de afiliação: Bélgica