GPU-based RFA simulation for minimally invasive cancer treatment of liver tumours

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• 作者：Panchatcharam Mariappan ; Phil Weir…
• 关键词：Radiofrequency ablation ; RFA solver ; Perfusion ; GPU ; Bioheat equation
• 刊名：International Journal of Computer Assisted Radiology and Surgery
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：12
• 期：1
• 页码：59-68
• 全文大小：
• 刊物主题：Imaging / Radiology; Surgery; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science, general;
• 出版者：Springer International Publishing
• ISSN：1861-6429
• 卷排序：12

文摘

PurposeRadiofrequency ablation (RFA) is one of the most popular and well-standardized minimally invasive cancer treatments (MICT) for liver tumours, employed where surgical resection has been contraindicated. Less-experienced interventional radiologists (IRs) require an appropriate planning tool for the treatment to help avoid incomplete treatment and so reduce the tumour recurrence risk. Although a few tools are available to predict the ablation lesion geometry, the process is computationally expensive. Also, in our implementation, a few patient-specific parameters are used to improve the accuracy of the lesion prediction.