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Optimization of the Mechanical Grinding of Blood Clots in Vitro Mechanical grinding of blood clots is influenced by several parameters, such as the strength of the magnetic field, magnetic field gradient, and rotation frequency of the rotating dipole fields. Here we will focus on optimizing the grinding parameters to minimize the clearing time of blood clots. Objective Magnetic field strength, magnetic field gradient, actuation frequency, and the geometry of the helical microrobots influence the grinding time of blood clots [1]. It is essential to minimize this time as ischemic tissue deprived of blood will not survive indefinitely. Tasks Control of helical microrobot [2] and drilling of blood clots (Fig. 1); Modeling of the mechanical grinding using resistive-force theory; Investigating the influence of the magnetic field on the removal rate of clots; Investigating the influence of the magnetic field gradient. Materials HeliMag is available in MNRLab; The blood clots have to be prepared [3] and microrobots have to be fabricated; Phosphate buffered saline and catheter segments [4]. PREREQUISITES Students are expected to have a working knowledge of control theory, differential equations, linear systems, statics, kinematic and dynamics, dynamics at low Reynolds numbers. Familiarity with programming, especially with Matlab, LabVIEW, and C++. OTHER NOTES This project will involve a weekly meeting with the instructors and progress reports have to be prepared. All reports should be written in academic paper format. 1. References [1] I. S. M. Khalil, A. F. Tabak, K. Sadek, D. Mahdy, N. Hamdi, and M. Sitti, “Rubbing against blood clots using helical robots: modeling and in vitro experimental validation,” IEEE Robotics & Automation Letters, vol. 2, no. 2, pp. 927-934, April 2017. Figure 1. Pre- and Post-conditions of the blood clots following 20 minutes of drilling using a helical microrobot (blue arrow). (a) The mother clot with a long columnar shape is prepared to provide daughter clots. (b) Daughter clot is cut with length of 3 mm. (c) and (d) Dissolved blood clots after drilling using the microrobot for approximately 20 minutes. [2] A. Hosney, A. Klingner, S. Misra, and I. S. M. Khalil, “Propulsion and steering of helical magnetic microrobots using two synchronized rotating dipole fields in three-dimensional space," in Proceedings of the IEEE/RSJ International Conference of Robotics and Systems (IROS), Hamburg, Germany, pp. 1988-1993, November 2015. [3] A. Hoffmann and H. Gill, “Diastolic timed vibro-percussion at 50Hz delivered across a chest wall sized meat barrier enhances clot dissolution and remotely administered streptokinase effectiveness in an in-vitro model of acute coronary thrombosis", Thrombosis Journal, vol. 10, no. 23, pp. 1–16, November 2012. [4] A. Hosney, J. Abdalla, I. S. Amin, N. Hamdi, and I. S. M. Khalil, “In vitro validation of clearing clogged vessels using microrobots," in Proceedings of the IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), pp. 272-277, Singapore, June 2016. www.MNRLab.com Dalia Mahdy, Nabila Hamdi, Anke Klingner, and Islam S. M. Khalil 1

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Optimization of the Mechanical Grinding of Blood Clots in Vitro

Mechanical grinding of blood clots is influenced by several parameters, such as the strength of the magnetic field,magnetic field gradient, and rotation frequency of the rotating dipole fields. Here we will focus on optimizing thegrinding parameters to minimize the clearing time of blood clots.

ObjectiveMagnetic field strength, magnetic field gradient, actuationfrequency, and the geometry of the helical microrobotsinfluence the grinding time of blood clots [1]. It is essentialto minimize this time as ischemic tissue deprived of bloodwill not survive indefinitely.

Tasks• Control of helical microrobot [2] and drilling of blood

clots (Fig. 1);

• Modeling of the mechanical grinding usingresistive-force theory;

• Investigating the influence of the magnetic field on theremoval rate of clots;

• Investigating the influence of the magnetic fieldgradient.

Materials• HeliMag is available in MNRLab;

• The blood clots have to be prepared [3] and microrobotshave to be fabricated;

• Phosphate buffered saline and catheter segments [4].

PREREQUISITESStudents are expected to have a working knowledgeof control theory, differential equations, linear systems,statics, kinematic and dynamics, dynamics at lowReynolds numbers. Familiarity with programming,especially with Matlab, LabVIEW, and C++.

OTHER NOTESThis project will involve a weekly meeting with theinstructors and progress reports have to be prepared. Allreports should be written in academic paper format.

1. References[1] I. S. M. Khalil, A. F. Tabak, K. Sadek, D.

Mahdy, N. Hamdi, and M. Sitti, “Rubbing againstblood clots using helical robots: modeling andin vitro experimental validation,” IEEE Robotics& Automation Letters, vol. 2, no. 2, pp. 927-934,April 2017.

Figure 1. Pre- and Post-conditions of the blood clots following20 minutes of drilling using a helical microrobot (blue arrow). (a)The mother clot with a long columnar shape is prepared to providedaughter clots. (b) Daughter clot is cut with length of 3 mm. (c)and (d) Dissolved blood clots after drilling using the microrobot forapproximately 20 minutes.

[2] A. Hosney, A. Klingner, S. Misra, and I. S. M.Khalil, “Propulsion and steering of helical magneticmicrorobots using two synchronized rotating dipolefields in three-dimensional space," in Proceedings ofthe IEEE/RSJ International Conference of Robotics andSystems (IROS), Hamburg, Germany, pp. 1988-1993,November 2015.

[3] A. Hoffmann and H. Gill, “Diastolic timedvibro-percussion at 50Hz delivered across a chestwall sized meat barrier enhances clot dissolutionand remotely administered streptokinaseeffectiveness in an in-vitro model of acute coronarythrombosis", Thrombosis Journal, vol. 10, no. 23, pp.1–16, November 2012.

[4] A. Hosney, J. Abdalla, I. S. Amin, N. Hamdi,and I. S. M. Khalil, “In vitro validation of clearingclogged vessels using microrobots," in Proceedingsof the IEEE RAS/EMBS International Conference onBiomedical Robotics and Biomechatronics (BioRob), pp.272-277, Singapore, June 2016.

www.MNRLab.com Dalia Mahdy, Nabila Hamdi, Anke Klingner, and Islam S. M. Khalil 1