IEEE Trans Biomed Eng. 2024 Apr;71(4):1370-1377. doi: 10.1109/TBME.2023.3336193. Epub 2024 Mar 20.
In this article we investigate the possibility of using needles, which the interventional radiologist inserts near a deep-seated tumor during an electroporation-based therapy, to characterize the electrical conductivity of patient's tissues. Specifically, we propose to exploit voltage/current measurements and imaging that are performed prior to the application of electroporation pulses. The approach is partly based on the concepts of electrical impedance tomography; however, imaging is used to build a specific geometric model and compensate for the lack of information resulting from the small number of electrodes available. 3D canonical and clinical examples, where a few electrodes surround a tumor, demonstrate the feasibility of this method: solving the inverse problem to estimate tissues conductivity converges in a few iterations. For a given error on the measurement, it is also possible to calculate the error on the estimated conductivities. The uncertainty error with clinical data is at best 5% for one of the tissues identified, due to the limitations of the clinical device used. Various improvements to clinical devices are discussed to make the conductivity estimation more accurate but also to extract more information.
在本文中,我们研究了在基于电穿孔的治疗过程中,介入放射科医生在深部肿瘤附近插入针的可能性,以对患者组织的电导率进行特征描述。具体来说,我们建议利用在施加电穿孔脉冲之前进行的电压/电流测量和成像。该方法部分基于电阻抗断层成像的概念;然而,成像用于构建特定的几何模型,并补偿由于可用电极数量少而导致的信息缺失。在 3D 典型和临床示例中,少数电极环绕肿瘤,证明了该方法的可行性:通过几次迭代求解反问题来估计组织电导率即可收敛。对于测量的给定误差,也可以计算出估计电导率的误差。由于使用的临床设备的限制,对于所识别的一种组织,不确定性误差最好为 5%。讨论了对临床设备的各种改进,以提高电导率估计的准确性,同时提取更多信息。