Abstract
The use of waterjet technology is now prevalent in medical applications including surgery, soft tissue resection, bone cutting, waterjet steerable needles, and wound debridement. The depth of the cut (DOC) of a waterjet in soft tissue is an important parameter that should be predicted in these applications. For instance, for waterjet-assisted surgery, selective cutting of tissue layers is a must to avoid damage to deeper tissue layers. For our proposed fracture-directed waterjet steerable needles, predicting the cut depth of the waterjet in soft tissue is important to develop an accurate motion model, as well as control algorithms for this class of steerable needles. To date, most of the proposed models are only valid in the conditions of the experiments and if the soft tissue or the system properties change, the models will become invalid. The model proposed in this paper is formulated to allow for variation in parameters related to both the waterjet geometry and the tissue. In this paper, first the cut depths of waterjet in soft tissue simulants are measured experimentally, and the effect of tissue stiffness, waterjet velocity, and nozzle diameter are studied on DOC. Then, a model based on the properties of the tissue and the waterjet is proposed to predict the DOC of waterjet in soft tissue. In order to verify the model, soft tissue properties (constitutive response and fracture toughness) are measured using low strain rate compression tests, Split-Hopkinson-Pressure-Bar (SHPB) tests, and fracture toughness tests. The results show that the proposed model can predict the DOC of waterjet in soft tissue with acceptable accuracy if the tissue and waterjet properties are known.
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References
Anderson TL (2017) Fracture mechanics: fundamentals and applications. CRC Press
Arora A, Hakim I, Baxter J, Rathnasingham R, Srinivasan R, Fletcher DA, Mitragotri S (2007) Needle-free delivery of macromolecules across the skin by nanoliter-volume pulsed microjets. Proc Natl Acad Sci 104(11):4255–4260
Aroussi AA, Sami IM, Leguerrier A, Verhoye JP (2006) The blower: a useful tool to complete thrombectomy of the mechanical prosthetic valve. Ann Thoracic Surg 81(5):1911–1912
Asadian A, Patel RV, Kermani MR (2014) Dynamics of translational friction in needle–tissue interaction during needle insertion. Ann Biomed Eng 42(1):73–85
Atkins A (2005) Toughness and cutting: a new way of simultaneously determining ductile fracture toughness and strength. Eng Fract Mech 72(6):849–860
Azar T, Hayward V (2008) Estimation of the fracture toughness of soft tissue from needle insertion. In: International symposium on biomedical simulation. Springer, pp 166–175
Babaiasl M, Yang F, Chen Y, Ding J, Swensen JP (2019) Predicting depth of cut of water-jet in soft tissue simulants based on finite element analysis with the application to fracture-directed water-jet steerable needles. In: 2019 International symposium on medical robotics (ISMR). IEEE, pp 1–7
Babaiasl M, Yang F, Swensen JP (2018) Towards water-jet steerable needles. In: 2018 7Th IEEE international conference on biomedical robotics and biomechatronics (biorob), pp 601–608. IEEE
Bahls T, Fröhlich FA, Hellings A, Deutschmann B, Albu-Schäffer AO (2016) Extending the capability of using a waterjet in surgical interventions by the use of robotics. IEEE Trans Biomed Eng 64(2):284–294
Barnett AC, Lee YS, Moore JZ (2016) Fracture mechanics model of needle cutting tissue. J Manuf Sci Eng 138(1):011005
Baxter J, Mitragotri S (2005) Jet-induced skin puncture and its impact on needle-free jet injections: experimental studies and a predictive model. J Controll Releas 106(3):361–373
Caputo WJ, Beggs DJ, DeFede JL, Simm L, Dharma H (2008) A prospective randomised controlled clinical trial comparing hydrosurgery debridement with conventional surgical debridement in lower extremity ulcers. Int Wound J 5(2):288–294
Chang YC, Chen Y, Ning J, Cheng H, Rock M, Amer M, Feng S, Falahati M, Wang LJ, Chen RKR et al (2019) No such thing as trash: A 3d printable polymer composite comprised of oil extracted spent coffee grounds and polylactic acid with enhanced impact toughness. ACS Sustainable Chemistry & Engineering
Chua B, Desai SP, Tierney MJ, Tamada JA, Jina AN (2013) Effect of microneedles shape on skin penetration and minimally invasive continuous glucose monitoring in vivo. Sens Actuators A Phys 203:373–381
Comley K, Fleck N (2011) Deep penetration and liquid injection into adipose tissue. J Mech Mater Struct 6(1):127–140
den Dunnen S, Dankelman J, Kerkhoffs GM, Tuijthof GJ (2016) How do jet time, pressure and bone volume fraction influence the drilling depth when waterjet drilling in porcine bone? J Mech Behav Biomed Mater 62:495–503
den Dunnen S, Mulder L, Kerkhoffs GM, Dankelman J, Tuijthof GJ (2013) Waterjet drilling in porcine bone: The effect of the nozzle diameter and bone architecture on the hole dimensions. J Mech Behav Biomed Mater 27:84–93
El-Domiaty A, Abdel-Rahman A (1997) Fracture mechanics-based model of abrasive waterjet cutting for brittle materials. Int J Adv Manuf Technol 13(3):172–181
Falahati M, Zhou W, Yi A, Li L (2019) Fabrication of polymeric lenses using magnetic liquid molds. Appl Phys Lett 114(20):203701
Falahati M, Zhou W, Yi A, Li L (2020) Development of an adjustable-focus ferrogel mirror. Opt & Laser Technol 125:106021
Granick MS, Posnett J, Jacoby BSM, Noruthun S, Ganchi PA, Datiashvili RO (2006) Efficacy and cost-effectiveness of a high-powered parallel waterjet for wound debridement. Wound Repair Regener 14(4):394–397
Hu Y, Liu T, Ding J, Zhong W (2013) Behavior of high density polyethylene and its nanocomposites under static and dynamic compression loadings. Polym Compos 34(3):417–425
Kaehler G, Sold M, Fischer K, Post S, Enderle M (2007) Selective fluid cushion in the submucosal layer by water jet: advantage for endoscopic mucosal resection. Eur Surg Res 39(2):93–97
Kok AC, den Dunnen S, Lambers KT, Kerkhoffs GM, Tuijthof GJ (2019) Feasibility study to determine if microfracture surgery using water jet drilling is potentially safe for talar chondral defects in a caprine model. Cartilage, pp 1947603519880332
Kundu PK, Cohen IM (2008) Fluid mechanics, 4th edn. Academic Press, San Diego
Liu D, Zhu H, Huang C, Wang J, Yao P (2016) Prediction model of depth of penetration for alumina ceramics turned by abrasive waterjet—finite element method and experimental study. Int J Adv Manuf Technol 87 (9-12):2673–2682
Liu J, Bai Y, Xu C (2014) Evaluation of ductile fracture models in finite element simulation of metal cutting processes. J Manuf Sci Eng 136(1):011010
Liu J, Ko JH, Secretov E, Huang E, Chukwu C, West J, Piserchia K, Galiano RD (2015) Comparing the hydrosurgery system to conventional debridement techniques for the treatment of delayed healing wounds: a prospective, randomised clinical trial to investigate clinical efficacy and cost-effectiveness. Int Wound J 12(4):456–461
Mahvash M, Hayward V (2001) Haptic rendering of cutting: A fracture mechanics approach
Misra S, Reed KB, Douglas AS, Ramesh K, Okamura AM (2008) Needle-tissue interaction forces for bevel-tip steerable needles. In: 2008. Biorob 2008. 2nd IEEE RAS & EMBS international conference on Biomedical robotics and biomechatronics. IEEE, pp 224–231
Misra S, Reed KB, Schafer BW, Ramesh K, Okamura AM (2010) Mechanics of flexible needles robotically steered through soft tissue. Int J Robot Res 29(13):1640–1660
Mitragotri S (2006) Current status and future prospects of needle-free liquid jet injectors. Nat Rev Drug Discov 5(7):543
Morad S, Ulbricht C, Harkin P, Chan J, Parker K, Vaidyanathan R (2014) Flexible robotic device for spinal surgery. In: 2014 IEEE International conference on robotics and biomimetics (ROBIO 2014). IEEE, pp 235–240
Morad S, Ulbricht C, Harkin P, Chan J, Parker K, Vaidyanathan R (2015) Modelling and control of a water jet cutting probe for flexible surgical robot. In: 2015 IEEE International conference on automation science and engineering (CASE). IEEE, pp 1159–1164
Moradiafrapoli M, Marston J (2017) High-speed video investigation of jet dynamics from narrow orifices for needle-free injection. Chem Eng Res Des 117:110–121
Mrozek RA, Leighliter B, Gold CS, Beringer IR, Jian HY, VanLandingham MR, Moy P, Foster MH, Lenhart JL (2015) The relationship between mechanical properties and ballistic penetration depth in a viscoelastic gel. J Mech Behav Biomed Mater 44:109–120
Oertel J, Gaab MR, Knapp A, Essig H, Warzok R, Piek J (2003) Water jet dissection in neurosurgery: experimental results in the porcine cadaveric brain. Neurosurgery 52(1):153–159
Oertel J, Gaab MR, Warzok R, Piek J (2003) Waterjet dissection in the brain: review of the experimental and clinical data with special reference to meningioma surgery. Neurosurg Rev 26(26-4):168–174
Oertel J, Gen M, Krauss J, Zumkeller M, Gaab MR (2006) The use of waterjet dissection in endoscopic neurosurgery. J Neurosurg 105(6):928–931
Ogden R, Saccomandi G, Sgura I (2004) Fitting hyperelastic models to experimental data. Comput Mech 34(6):484–502
Ogden RW (1972) Large deformation isotropic elasticity–on the correlation of theory and experiment for incompressible rubberlike solids. Proc R Soc Lond A Math Phys Sci 326(1567):565– 584
Oh TM, Cho GC (2016) Rock cutting depth model based on kinetic energy of abrasive waterjet. Rock Mech Rock Eng 49(3):1059–1072
Orlowski KA, Ochrymiuk T, Atkins A, Chuchala D (2013) Application of fracture mechanics for energetic effects predictions while wood sawing. Wood Sci Technol 47(5):949–963
Rau H, Duessel A, Wurzbacher S (2008) The use of water-jet dissection in open and laparoscopic liver resection. HPB 10(4):275–280
Rau H, Meyer G, Jauch K, Cohnert T, Buttler E, Schildberg F (1996) Liver resection with the water jet: conventional and laparoscopic surgery. Der Chirurg Z Gebiete Oper Med 67(5):546–551
Roesthuis RJ, van de Berg NJ, van den Dobbelsteen JJ, Misra S (2015) Modeling and steering of a novel actuated-tip needle through a soft-tissue simulant using fiber bragg grating sensors. In: 2015 IEEE international conference on Robotics and automation (ICRA). IEEE, pp 2283–2289
Römgens AM, Rem-Bronneberg D, Kassies R, Hijlkema M, Bader DL, Oomens CW, van Bruggen MP (2016) Penetration and delivery characteristics of repetitive microjet injection into the skin. J Controll Releas 234:98–103
Sato C, Nakano T, Nakagawa A, Yamada M, Yamamoto H, Kamei T, Miyata G, Sato A, Fujishima F, Nakai M et al (2013) Experimental application of pulsed laser-induced water jet for endoscopic submucosal dissection: Mechanical investigation and preliminary experiment in swine. Dig Endosc 25(3):255– 263
Schramm-Baxter J, Katrencik J, Mitragotri S (2004) Jet injection into polyacrylamide gels: investigation of jet injection mechanics. J Biomech 37(8):1181–1188
Schramm-Baxter J, Mitragotri S (2004) Needle-free jet injections: dependence of jet penetration and dispersion in the skin on jet power. J Control Releas 97(3):527–535
Seok J, Oh CT, Kwon HJ, Kwon TR, Choi EJ, Choi SY, Mun SK, Han SH, Kim BJ, Kim MN (2016) Investigating skin penetration depth and shape following needle-free injection at different pressures: a cadaveric study. Lasers Surgery Med 48(6):624– 628
Seto T, Yamamoto H, Takayama K, Nakagawa A, Tominaga T (2011) Characteristics of an actuator-driven pulsed water jet generator to dissecting soft tissue. Rev Sci Instrum 82(5):055105
Shergold OA, Fleck NA (2004) Mechanisms of deep penetration of soft solids, with application to the injection and wounding of skin. Proc R Soc Lond Ser A Math Phys Eng Sci 460(2050):3037–3058
Shergold OA, Fleck NA, King TS (2006) The penetration of a soft solid by a liquid jet, with application to the administration of a needle-free injection. J Biomech 39(14):2593–2602
Shergold OA, Fleck NA, Radford D (2006) The uniaxial stress versus strain response of pig skin and silicone rubber at low and high strain rates. Int J Impact Eng 32(9):1384– 1402
Shi H, Jiang SJ, Li B, Fu DK, Xin P, Wang YG (2011) Natural orifice transluminal endoscopic wedge hepatic resection with a water-jet hybrid knife in a non-survival porcine model. World J Gastroenterol: WJG 17(7):926
Tagawa Y, Oudalov N, El Ghalbzouri A, Sun C, Lohse D (2013) Needle-free injection into skin and soft matter with highly focused microjets. Lab Chip 13(7):1357–1363
Tschan C, Tschan K, Krauss J, Oertel J (2009) First experimental results with a new waterjet dissector: Erbejet 2. Acta Neurochirurg 151(11):1473–1482
Vollmer CM, Dixon E, Sahajpal A, Cattral MS, Grant DR, Gallinger S, Taylor BR, Greig PD (2006) Water-jet dissection for parenchymal division during hepatectomy. HPB 8(5):377– 385
Wang J (2007) Predictive depth of jet penetration models for abrasive waterjet cutting of alumina ceramics. Int J Mech Sci 49(3):306–316
Wang J (2009) A new model for predicting the depth of cut in abrasive waterjet contouring of alumina ceramics. J Mater Process Technol 209(5):2314–2320
Wang J, Guo D (2002) A predictive depth of penetration model for abrasive waterjet cutting of polymer matrix composites. J Mater Process Technol 121(2-3):390–394
Wilkins R, Graham E (1993) An erosion model for waterjet cutting. J Eng Industry 115(1):57–61
Yahagi N, Neuhaus H, Schumacher B, Neugebauer A, Kaehler G, Schenk M, Fischer K, Fujishiro M, Enderle M (2009) Comparison of standard endoscopic submucosal dissection (esd) versus an optimized esd technique for the colon: an animal study. Endoscopy 41(04):340–345
Yamada M, Nakano T, Sato C, Nakagawa A, Fujishima F, Kawagishi N, Nakanishi C, Sakurai T, Miyata G, Tominaga T et al (2014) The dissection profile and mechanism of tissue-selective dissection of the piezo actuator-driven pulsed water jet as a surgical instrument: Laboratory investigation using swine liver. Eur Surg Res 53(1-4):61–72
Yang F, Babaiasl M, Swensen JP (2019) Fracture-directed steerable needles. J Med Robot Res 4(01):1842002
Yoshimi Tanaka Rikimaru Kuwabara YHNTKJPG, Osada Y (2005) Determination of fracture energy of high strength double network hydrogels. J Phys Chem B 109:11559–11562
Acknowledgments
The authors would like to thank Alex Rodrigues and Sean Journot for their help in the experimental setup as well as Kraton Polymers LLC for providing samples of Kraton G1650 and G1652 for research.
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Data availability
The experimental data for this paper along with codes to run the data are uploaded to Mendeley Data in order for other researchers to use them for their own research purposes. The experimental data for depth of cut are available at (https://doi.org/10.17632/zvdrpzmkcb.2), the data for Static compression tests are available at (https://doi.org/10.17632/gswfx544cs.3), and the data for SHPB tests are available at (https://doi.org/10.17632/msvjxfh7nh.1).
Appendix A: Procedure for derivation of Eqs. 27 and 28
Appendix A: Procedure for derivation of Eqs. 27 and 28
In this appendix, the procedure for derivation of the Eqs. 27 and 28 is explained.
Equation 26 can be rewritten using the volume change elements as:
Starting with \({\int \limits }_{r_{2}}^{\infty } \phi 2\pi s_{2} ds_{2}\), and incorporating (25) one can write:
In order to make this integral neater, we can define: \(\gamma = (\frac {s_{2}}{r_{2}})^{2}\), and thus \(d\gamma = \frac {1}{{r_{2}}^{2}} (2s_{2} ds_{2})\). Therefore:
\((\frac {s_{1}}{s_{2}})^{\alpha }\), and \(\frac {s_{2}}{s_{1}})^{\alpha }\) can be rewritten as:
Using the same procedure, \((\frac {s_{2}}{s_{1}})^{\alpha } = \frac {{\gamma }^{\frac {\alpha }{2}}{r_{2}}^{\alpha }}{{s_{1}}^{\alpha }}\).
From volume conservation, we already know that \({s_{1}}^{2} - {r_{1}}^{2} = {s_{2}}^{2} - {r_{2}}^{2}\). Dividing the sides of this equation by \({r_{2}}^{2}\), we can write:
And thus:
From here, the following equation can be deduced:
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Babaiasl, M., Boccelli, S., Chen, Y. et al. Predictive mechanics-based model for depth of cut (DOC) of waterjet in soft tissue for waterjet-assisted medical applications. Med Biol Eng Comput 58, 1845–1872 (2020). https://doi.org/10.1007/s11517-020-02182-0
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DOI: https://doi.org/10.1007/s11517-020-02182-0