作者: Stephan Zidowitz , H. Bourquain , C. Hansen , C. Rieder , A. Weihusen
DOI: 10.1007/978-3-540-89208-3_29
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摘要: Computational support in intervention planning promises to the subjective interpretation of data with reproducible measurements. Moreover, it is possible develop and apply models that provide additional information which not directly visible data. Based on computertomography multi-slice images liver, software developed by MeVis Research offers tools evaluate different interventional strategies preoperatively. In identifying patient individual risks, an optimized plan developed. radiofrequency ablation liver tumors, treatment success highly depends effective placement applicators into tumor achieve sufficient coagulative necrosis. Beside size shape, cooling effects surrounding vessels are taken account for a numerical estimation accessible thermal destruction. this information, positioning can be obtained. case surgical resection, removing together safety margin from requires transsection local vascular structures supplying or draining dedicated region. The identification quantitative assessment these regions, functionally endangered, guides preoperative evaluation strategies. Subsequently proper visualizations help identify critical structures, allow better control intraoperative situation. matched ultrasound, aligned displayed operating theatre monitors, placed table. adaption addressed: oncologic surgery, tumors were often found during intervention. With such findings, resection strategy must updated completely revised. allows automated planning. aim surgeons efficient tool planning, integrated workflow interventions. To meaningful procedural workflow, cognitive needs have account.