Hamdipoor Vahid, Afzal Muhammad Raheel, Le Tuan-Anh, Yoon Jungwon
School of Mechanical and Aerospace Engineering, Gyeongsang National University, Jinju 52828, Korea.
School of Integrated Technology, Gwangju Institute of Science and Technology, 123 Cheomdan-gwagiro, Buk-gu, Gwangju 61005, Korea.
Micromachines (Basel). 2018 Jan 1;9(1):14. doi: 10.3390/mi9010014.
Magnetic drug targeting is a promising technique that can deliver drugs to the diseased region, while keeping the drug away from healthy parts of body. Introducing a human in the control loop of a targeted drug delivery system and using inherent bilateralism of a haptic device at the same time can considerably improve the performance of targeted drug delivery systems. In this paper, we suggest a novel intelligent haptic guidance scheme for steering a number of magnetic nanoparticles (MNPs) using forbidden region virtual fixtures and a haptic rendering scheme with multi particles. Forbidden region virtual fixtures are a general class of guidance modes implemented in software, which help a human-machine collaborative system accomplish a specific task by constraining a movement into limited regions. To examine the effectiveness of our proposed scheme, we implemented a magnetic guided drug delivery system in a virtual environment using a physics-based model of targeted drug delivery including a multi-branch blood vessel and realistic blood dynamics. We performed user studies with different guidance modes: unguided, semi virtual fixture and full virtual fixture modes. We found out that the efficiency of targeting was significantly improved using the forbidden region virtual fixture and the proposed haptic rendering of MNPs. We can expect that using intelligent haptic feedback in real targeted drug delivery systems can improve the targeting efficiency of MNPs in multi-branch vessels.
磁性药物靶向是一种很有前景的技术,它可以将药物输送到患病区域,同时使药物远离身体的健康部位。在靶向给药系统的控制回路中引入人体并同时利用触觉设备固有的双边性,可以显著提高靶向给药系统的性能。在本文中,我们提出了一种新颖的智能触觉引导方案,用于使用禁区虚拟夹具和多粒子触觉渲染方案来操纵多个磁性纳米颗粒(MNP)。禁区虚拟夹具是在软件中实现的一类通用引导模式,它通过将运动限制在有限区域内来帮助人机协作系统完成特定任务。为了检验我们提出的方案的有效性,我们在虚拟环境中使用基于物理的靶向给药模型(包括多分支血管和逼真的血液动力学)实现了一个磁性引导药物输送系统。我们使用不同的引导模式进行了用户研究:无引导、半虚拟夹具和全虚拟夹具模式。我们发现,使用禁区虚拟夹具和所提出的MNP触觉渲染,靶向效率得到了显著提高。我们可以预期,在实际的靶向给药系统中使用智能触觉反馈可以提高MNP在多分支血管中的靶向效率。