Multiphysical Analytical Modeling and Design of A Magnetically Steerable Robotic Catheter for Treatment of Peripheral Artery Disease.
Multiphysical Analytical Modeling and Design of A Magnetically Steerable Robotic Catheter for Treatment of Peripheral Artery Disease.
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DOI：
10.1109/tmech.2022.3174520
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发表时间：
2022-08
影响因子：
6.4
通讯作者：
Alambeigi, Farshid
中科院分区：
文献类型：
--
作者：
Liu, Yang;Mohanraj, Tarunraj G.;Rajebi, Mohammad R.;Zhou, Lei;Alambeigi, Farshid
关键词：
本文提出了一种独特的多物理分析建模框架和求解算法，为设计承受外部相互作用载荷的磁操纵机器人导管（MSRC）提供了一种有效的工具。特别是，在这项研究中，我们感兴趣的是设计和制造的MSRC与弯曲模式治疗外周动脉疾病（PAD）。除了磁致动系统中涉及的参数和作用在MSRC上的外部相互作用载荷之外，所考虑的弯曲模式对所提出的MSRC的变形行为和可操纵性具有关键作用。因此，为了优化设计这样的MSRC，我们利用所提出的多物理建模方法，并通过两个模拟研究，彻底评估了所涉及的参数对MSRC性能的影响。我们还进行了实验研究，在自由弯曲的条件下，并在存在不同的外部相互作用载荷的两个定制设计的MSRC，以彻底评估所提出的多物理模型和解决方案的算法的有效性。我们的分析表明，所提出的方法的准确性和必要性，利用这些模型来优化设计制造程序前的MSRC。
This article presents a unique multiphysical analytical modeling framework and solution algorithm to provide an effective tool for design of magnetically steerable robotic catheters (MSRCs) experiencing external interaction loads. Particularly, in this study, we are interested in design and fabrication of a MSRC with flexural patterns for treatment of peripheral artery disease (PAD). Aside from the parameters involved in the magnetic actuation system and the external interaction loads acting on the MSRC, the considered flexural patterns have a critical role on the deformation behavior and steerability of the proposed MSRC. Therefore, to optimally design such MSRC, we utilized the proposed multiphysical modeling approach and thoroughly evaluated the influence of involved parameters on the performance of the MSRC via two simulations studies. We also conducted experimental studies in a free bending condition and in the presence of different external interaction loads on two custom-designed MSRCs to thoroughly evaluate the efficacy of the proposed multiphysical model and solution algorithm. Our analysis demonstrates the accuracy of the proposed approach and necessity of utilizing such models to optimally design a MSRC before fabrication procedure.
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影响因子：
1.6
作者：
Beiranvand, R.
通讯作者：
Beiranvand, R.
影响因子：
3.1
作者：
Carpi, Federico;Pappone, Carlo
通讯作者：
Pappone, Carlo
影响因子：
1.6
作者：
Wang, J;She, SX;Zhang, SJ
通讯作者：
Zhang, SJ
影响因子：
24
作者：
Roth GA;Johnson C;Abajobir A;Abd-Allah F;Abera SF;Abyu G;Ahmed M;Aksut B;Alam T;Alam K;Alla F;Alvis-Guzman N;Amrock S;Ansari H;Ärnlöv J;Asayesh H;Atey TM;Avila-Burgos L;Awasthi A;Banerjee A;Barac A;Bärnighausen T;Barregard L;Bedi N;Belay Ketema E;Bennett D;Berhe G;Bhutta Z;Bitew S;Carapetis J;Carrero JJ;Malta DC;Castañeda-Orjuela CA;Castillo-Rivas J;Catalá-López F;Choi JY;Christensen H;Cirillo M;Cooper L Jr;Criqui M;Cundiff D;Damasceno A;Dandona L;Dandona R;Davletov K;Dharmaratne S;Dorairaj P;Dubey M;Ehrenkranz R;El Sayed Zaki M;Faraon EJA;Esteghamati A;Farid T;Farvid M;Feigin V;Ding EL;Fowkes G;Gebrehiwot T;Gillum R;Gold A;Gona P;Gupta R;Habtewold TD;Hafezi-Nejad N;Hailu T;Hailu GB;Hankey G;Hassen HY;Abate KH;Havmoeller R;Hay SI;Horino M;Hotez PJ;Jacobsen K;James S;Javanbakht M;Jeemon P;John D;Jonas J;Kalkonde Y;Karimkhani C;Kasaeian A;Khader Y;Khan A;Khang YH;Khera S;Khoja AT;Khubchandani J;Kim D;Kolte D;Kosen S;Krohn KJ;Kumar GA;Kwan GF;Lal DK;Larsson A;Linn S;Lopez A;Lotufo PA;El Razek HMA;Malekzadeh R;Mazidi M;Meier T;Meles KG;Mensah G;Meretoja A;Mezgebe H;Miller T;Mirrakhimov E;Mohammed S;Moran AE;Musa KI;Narula J;Neal B;Ngalesoni F;Nguyen G;Obermeyer CM;Owolabi M;Patton G;Pedro J;Qato D;Qorbani M;Rahimi K;Rai RK;Rawaf S;Ribeiro A;Safiri S;Salomon JA;Santos I;Santric Milicevic M;Sartorius B;Schutte A;Sepanlou S;Shaikh MA;Shin MJ;Shishehbor M;Shore H;Silva DAS;Sobngwi E;Stranges S;Swaminathan S;Tabarés-Seisdedos R;Tadele Atnafu N;Tesfay F;Thakur JS;Thrift A;Topor-Madry R;Truelsen T;Tyrovolas S;Ukwaja KN;Uthman O;Vasankari T;Vlassov V;Vollset SE;Wakayo T;Watkins D;Weintraub R;Werdecker A;Westerman R;Wiysonge CS;Wolfe C;Workicho A;Xu G;Yano Y;Yip P;Yonemoto N;Younis M;Yu C;Vos T;Naghavi M;Murray C
通讯作者：
Murray C
DOI：
10.1109/tro.2016.2623339
发表时间：
2017-03
期刊：
IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society
影响因子：
--
作者：
Kratchman LB;Bruns TL;Abbott JJ;Webster RJ 3rd
通讯作者：
Webster RJ 3rd