Treffer: Modelling and Simulation of Energy Cutting Tool for Soft Tissue Using a Novel extended Finite Element Method.
Title:
Modelling and Simulation of Energy Cutting Tool for Soft Tissue Using a Novel extended Finite Element Method.
Authors:
Du S; State Key Lab of Fluid Power & Mechatronic Systems, Zhejiang University, HangZhou, China., Hu Y; State Key Lab of Fluid Power & Mechatronic Systems, Zhejiang University, HangZhou, China., Li M; Medical Engineering & Engineering Medicine Innovation Center, Hangzhou International Innovation Institute, Beihang University, HangZhou, China., Shen M; State Key Lab of Fluid Power & Mechatronic Systems, Zhejiang University, HangZhou, China., Wang Z; State Key Lab of Fluid Power & Mechatronic Systems, Zhejiang University, HangZhou, China., Lei Y; State Key Lab of Fluid Power & Mechatronic Systems, Zhejiang University, HangZhou, China.
Source:
The international journal of medical robotics + computer assisted surgery : MRCAS [Int J Med Robot] 2025 Apr; Vol. 21 (2), pp. e70052.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Wiley Country of Publication: England NLM ID: 101250764 Publication Model: Print Cited Medium: Internet ISSN: 1478-596X (Electronic) Linking ISSN: 14785951 NLM ISO Abbreviation: Int J Med Robot Subsets: MEDLINE
Imprint Name(s):
Publication: 2006- : West Sussex, England : Wiley
Original Publication: Ilkley, UK : Robotic Publications, c2004-
Original Publication: Ilkley, UK : Robotic Publications, c2004-
MeSH Terms:
References:
Z. Liu, Z. Liao, D. Wang, et al., “Recent Advances in Soft Biological Tissue Manipulating Technologies,” Chinese Journal of Mechanical Engineering 35, no. 1 (2022): 89, https://doi.org/10.1186/s10033‐022‐00767‐4.
T. Irino, N. Hiki, M. Ohashi, S. Nunobe, T. Sano, and T. Yamaguchi, “The Hit and Away Technique: Optimal Usage of the Ultrasonic Scalpel in Laparoscopic Gastrectomy,” Surgical Endoscopy 30, no. 1 (2015): 04–250, https://doi.org/10.1007/s00464‐015‐4195‐9.
P. Vitruk, “Soft Tissue Cutting With Co2, Diode Lasers,” Veterinary Practice News 11, no. 11 (2012): 24.
S. Amini‐Nik, D. Kraemer, M. L. Cowan, et al., “Ultrafast Mid‐ir Laser Scalpel: Protein Signals of the Fundamental Limits to Minimally Invasive Surgery,” PLoS One 5, no. 9 (2010): 1–6, https://doi.org/10.1371/journal.pone.0013053.
A. Braun, M. Kettner, M. Berthold, J.‐S. Wenzler, P. G. B. Heymann, and R. Frankenberger, “Efficiency of Soft Tissue Incision With a Novel 445‐nm Semiconductor Laser,” Lasers in Medical Science 33, no. 1 (2018): 27–33, https://doi.org/10.1007/s10103‐017‐2320‐9.
W. W. Cimino, “The Physics of Soft Tissue Fragmentation Using Ultrasonic Frequency Vibration of Metal Probes,” Clinics in Plastic Surgery 26, no. 3 (1999): 447–461, https://doi.org/10.1016/s0094‐1298(20)32638‐9.
D. Wang, A. Roy, and V. V. Silberschmidt, “Production of High‐Quality Extremely‐Thin Histological Sections by Ultrasonically Assisted Cutting,” Journal of Materials Processing Technology 276 (2020): 116403, https://doi.org/10.1016/j.jmatprotec.2019.116403.
S. Zhang, C. Li, L. Cao, et al., “Modeling and Ex Vivo Experimental Validation of Liver Tissue Carbonization With Laser Ablation,” Computer Methods and Programs in Biomedicine 217 (2022): 106697, https://doi.org/10.1016/j.cmpb.2022.106697.
W. Karaki, A. Akyildiz, S. De, and D.‐A. Borca‐Tasciuc, “Energy Dissipation in Ex Vivo Porcine Liver During Electrosurgery,” IEEE Transactions on Biomedical Engineering 64, no. 6 (2017): 1211–1217: June, https://doi.org/10.1109/tbme.2016.2595525.
W. Karaki, C. A. Rahul Lopez, D.‐A. Borca‐Tasciuc, and S. De, “A Two‐Scale Model of Radio‐Frequency Electrosurgical Tissue Ablation,” Computational Mechanics 62, no. 4 (2018): 803–814, https://doi.org/10.1007/s00466‐017‐1529‐6.
W. Karaki, R. Rahul, C. A. Lopez, D.‐A. Borca‐Tasciuc, and S. De, “A Continuum Thermomechanical Model of In Vivo Electrosurgical Heating of Hydrated Soft Biological Tissues,” International Journal of Heat and Mass Transfer 127, no. Dec (2018): 961–974, https://doi.org/10.1016/j.ijheatmasstransfer.2018.07.006.
W. Karaki, R. Rahul, C. A. Lopez, D.‐A. Borca Tasciuc, and S. De, “A Continuum Thermomechanical Model for the Electrosurgery of Soft Hydrated Tissues Using a Moving Electrode,” Computer Methods in Biomechanics and Biomedical Engineering 23, no. 16 (2020): 1317–1335: Dec., https://doi.org/10.1080/10255842.2020.1798415.
C.‐H. Yang, W. Li, and R. K. Chen, “Characterization of the Electrosurgical Tissue Joining Process Using Dynamic Impedance and Energy Efficiency,” Journal of Manufacturing Science and Engineering 141, no. Apr (2019): 054502, https://doi.org/10.1115/1.4043267.
C.‐H. Yang, W. Li, and R. K. Chen, “Determination of Tissue Thermal Conductivity as a Function of Thermal Dose and Its Application in Finite Element Modeling of Electrosurgical Vessel Sealing,” IEEE Transactions on Biomedical Engineering 67, no. 10 (2020): 2862–2869, https://doi.org/10.1109/tbme.2020.2972465.
Zhang, J., Hills, J., Zhong, Y., Shirinzadeh, B., Smith, J., and Gu, C. “Gpu‐accelerated Finite Element Modeling of Bio‐Heat Conduction for Simulation of Thermal Ablation”. Journal of Mechanics in Medicine and Biology, 18, no. 07 (2018): 1840012, https://doi.org/10.1142/s0219519418400122.
J. Zhang, J. Hills, Y. Zhong, B. Shirinzadeh, J. Smith, and C. Gu, “Modeling of Soft Tissue Thermal Damage Based on GPU Acceleration,” Computer Assisted Surgery 24, no. sup1 (2019): 5–12, https://doi.org/10.1080/24699322.2018.1557891.
Fankell, D. P., Kramer, E., Cezo, J., Taylor, K. D., Ferguson, V. L., and Rentschler, M. E., “A Novel Parameter for Predicting Arterial Fusion and Cutting in Finite Element Models”, Annals of Biomedical Engineering, 44, no. 11 (2016): 3295–3306, https://doi.org/10.1007/s10439‐016‐1588‐4.
P. Wongchadakul, P. Rattanadecho, and T. Wessapan, “Implementation of a Thermomechanical Model to Simulate Laser Heating in Shrinkage Tissue (Effects of Wavelength, Laser Irradiation Intensity, and Irradiation Beam Area),” International Journal of Thermal Sciences 134, no. Dec (2018): 321–336, https://doi.org/10.1016/j.ijthermalsci.2018.08.008.
R. Chen, F. Lu, F. Wu, T. Jiang, L. Xie, and D. Kong, “An Analytical Solution for Temperature Distributions in Hepatic Radiofrequency Ablation Incorporating the Heat‐Sink Effect of Large Vessels,” Physics in Medicine and Biology 63, no. 23 (2018): 235026, https://doi.org/10.1088/1361‐6560/aaeef9.
C. J. Paulus, N. Haouchine, S.‐H. Kong, R. V. Soares, D. Cazier, and S. Cotin, “Handling Topological Changes During Elastic Registration,” International Journal of Computer Assisted Radiology and Surgery 12, no. 3 (2017): 461–470, https://doi.org/10.1007/s11548‐016‐1502‐4.
J. Wu, R. Westermann, and C. Dick, “A Survey of Physically Based Simulation of Cuts in Deformable Bodies,” Computer Graphics Forum 34, no. 6 (2015): 161–187, https://doi.org/10.1111/cgf.12528.
M. Wang and Y. Ma, “A Review of Virtual Cutting Methods and Technology in Deformable Objects,” International Journal of Medical Robotics and Computer Assisted Surgery 14, no. 5 (2018): e1923, https://doi.org/10.1002/rcs.1923.
C. J. Paulus, L. Untereiner, H. Courtecuisse, S. Cotin, and D. Cazier, “Virtual Cutting of Deformable Objects Based on Efficient Topological Operations,” Visual Computer 31, no. 6‐8 (2015): 831–841, https://doi.org/10.1007/s00371‐015‐1123‐x.
W. Shi, P. X. Liu, and M. Zheng, “Cutting Procedures With Improved Visual Effects and Haptic Interaction for Surgical Simulation Systems,” Computer Methods and Programs in Biomedicine 184 (2020): 105270, https://doi.org/10.1016/j.cmpb.2019.105270.
R. Aras, Y. Shen, and M. Audette, “An Analytic Meshless Enrichment Function for Handling Discontinuities in Interactive Surgical Simulation,” Advances in Engineering Software 102 (2016): 40–48, https://doi.org/10.1016/j.advengsoft.2016.08.011.
Z. Lu, V. S. Arikatla, Z. Han, B. F. Allen, and S. De, “A Physics‐Based Algorithm for Real‐Time Simulation of Electrosurgery Procedures in Minimally Invasive Surgery,” International Journal of Medical Robotics and Computer Assisted Surgery 10, no. 4 (2014): 495–504, https://doi.org/10.1002/rcs.1561.
Y. Sui, J. J. Pan, H. Qin, H. Liu, and Y. Lu, “Real‐Time Simulation of Soft Tissue Deformation and Electrocautery Procedures in Laparoscopic Rectal Cancer Radical Surgery,” International Journal of Medical Robotics and Computer Assisted Surgery 13, no. 4 (2017): e1827: e1827 RCS‐17‐0006.R2, https://doi.org/10.1002/rcs.1827.
M. Wang, Y. Ma, and F. Liu, “A Novel Virtual Cutting Method for Deformable Objects Using High‐Order Elements Combined With Mesh Optimisation,” International Journal of Medical Robotics and Computer Assisted Surgery 18, no. 5 (2022): e2423, https://doi.org/10.1002/rcs.2423.
N. Moës, J. Dolbow, and T. Belytschko, “A Finite Element Method for Crack Growth Without Remeshing,” International Journal for Numerical Methods in Engineering 46, no. 1 (1999): 131–150, https://doi.org/10.1002/(sici)1097‐0207(19990910)46:1<131::aid‐nme726>3.3.co;2‐a.
D. Koschier, J. Bender, and N. Thuerey, “Robust eXtended Finite Elements for Complex Cutting of Deformables,” ACM Transactions on Graphics 36, no. 4 (2017): 55:1–55:13: July, https://doi.org/10.1145/3072959.3073666.
C. Paulus, S. Suwelack, N. Schoch, S. Speidel, R. Dillmann, and V. Heuveline, “Simulation of Complex Cuts in Soft Tissue With the Extended Finite Element Method (X‐FEM),” Preprint Series of the Engineering Mathematics and Computing Lab(02) (2014): Dec. Number: 02.
H. Li, J. Li, and H. Yuan, “A Review of the Extended Finite Element Method on Macrocrack and Microcrack Growth Simulations,” Theoretical and Applied Fracture Mechanics 97 (2018): 236–249, https://doi.org/10.1016/j.tafmec.2018.08.008.
A. R. Khoei, “Extended Finite Element Method: Theory and Applications, (Chichester, West Sussex: John Wiley & Sons, Inc., 2015).
Y. Shu, Y. Li, M. Duan, and F. Yang, “An X‐FEM Approach for Simulation of 3‐D Multiple Fatigue Cracks and Application to Double Surface Crack Problems,” International Journal of Mechanical Sciences 130, no. Sept (2017): 331–349, https://doi.org/10.1016/j.ijmecsci.2017.06.007.
L. Wang, N. A. Hill, S. M. Roper, and X. Luo, “Modelling Peeling‐ and Pressure‐Driven Propagation of Arterial Dissection,” Journal of Engineering Mathematics 109, no. 1 (2018): 227–238, https://doi.org/10.1007/s10665‐017‐9948‐0.
S. Niroomandi, I. Alfaro, D. González, E. Cueto, and F. Chinesta, “Real‐Time Simulation of Surgery by Reduced‐Order Modeling and X‐Fem Techniques,” International Journal for Numerical Methods in Biomedical Engineering 28, no. 5 (2012): 574–588, https://doi.org/10.1002/cnm.1491.
L. M. Vigneron, M. P. Duflot, P. A. Robe, S. K. Warfield, and J. G. Verly, “2d Xfem‐Based Modeling of Retraction and Successive Resections for Preoperative Image Update,” Computer Aided Surgery 14, no. 1‐3 (2009): 1–20, https://doi.org/10.1080/10929080903052677.
L. Jeřábková and T. Kuhlen, “Stable Cutting of Deformable Objects in Virtual Environments Using Xfem,” IEEE Computer Graphics and Applications 29, no. 2 (2009): 61–71, https://doi.org/10.1109/mcg.2009.32.
M. Naheem, A. A. G, S. A, P. Dumpuri, M. Lakshmanan, and M. Sivaprakasam, “Optical Tracker Assessment for Image Guided Surgical Interventions,” in 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), (Messina, Italy: IEEE, 2022), 1–6.
N. Sukumar, D. Chopp, N. Moës, and T. Belytschko, “Modeling Holes and Inclusions by Level Sets in the Extended Finite‐Element Method,” Computer Methods in Applied Mechanics and Engineering 190, no. 46 (2001): 6183–6200, https://doi.org/10.1016/s0045‐7825(01)00215‐8.
N. Moës, M. Cloirec, P. Cartraud, and J.‐F. Remacle, “A Computational Approach to Handle Complex Microstructure Geometries,” Computer Methods in Applied Mechanics and Engineering 192, no. 28 (2003): 3163–3177: Multiscale Computational Mechanics for Materials and Structures, https://doi.org/10.1016/s0045‐7825(03)00346‐3.
T. Tanaka, K. Ueda, M. Hayashi, and K. Hamano, “Clinical Application of an Ultrasonic Scalpel to Divide Pulmonary Vessels Based on Laboratory Evidence,” Interactive Cardiovascular and Thoracic Surgery 8, no. 6 (2009): 615–618, https://doi.org/10.1510/icvts.2008.200584.
G. Sankaranarayanan, R. R. Resapu, D. B. Jones, S. Schwaitzberg, and S. De, “Common Uses and Cited Complications of Energy in Surgery,” Surgical Endoscopy 27, no. 9 (2013): 3056–3072, https://doi.org/10.1007/s00464‐013‐2823‐9.
M. Liberman, M. Khereba, B. Nasir, et al., “Pulmonary Artery Sealing Using the Harmonic Ace+ Shears for Video‐Assisted Thoracoscopic Surgery Lobectomy,” Annals of Thoracic Surgery 100, no. 3 (2015): 898–904, https://doi.org/10.1016/j.athoracsur.2015.04.063.
Y. Wang, B. L. Tai, H. Yu, and A. J. Shih, “Silicone‐Based Tissue‐Mimicking Phantom for Needle Insertion Simulation,” Journal of Medical Devices 8, no. 2 (2014): Mar, https://doi.org/10.1115/1.4026508.
S. Cotin, H. Delingette, and N. Ayache, “A Hybrid Elastic Model for Real‐Time Cutting, Deformations, and Force Feedback for Surgery Training and Simulation,” Visual Computer 16, no. 8 (2000): 437–452, https://doi.org/10.1007/pl00007215.
T. Irino, N. Hiki, M. Ohashi, S. Nunobe, T. Sano, and T. Yamaguchi, “The Hit and Away Technique: Optimal Usage of the Ultrasonic Scalpel in Laparoscopic Gastrectomy,” Surgical Endoscopy 30, no. 1 (2015): 04–250, https://doi.org/10.1007/s00464‐015‐4195‐9.
P. Vitruk, “Soft Tissue Cutting With Co2, Diode Lasers,” Veterinary Practice News 11, no. 11 (2012): 24.
S. Amini‐Nik, D. Kraemer, M. L. Cowan, et al., “Ultrafast Mid‐ir Laser Scalpel: Protein Signals of the Fundamental Limits to Minimally Invasive Surgery,” PLoS One 5, no. 9 (2010): 1–6, https://doi.org/10.1371/journal.pone.0013053.
A. Braun, M. Kettner, M. Berthold, J.‐S. Wenzler, P. G. B. Heymann, and R. Frankenberger, “Efficiency of Soft Tissue Incision With a Novel 445‐nm Semiconductor Laser,” Lasers in Medical Science 33, no. 1 (2018): 27–33, https://doi.org/10.1007/s10103‐017‐2320‐9.
W. W. Cimino, “The Physics of Soft Tissue Fragmentation Using Ultrasonic Frequency Vibration of Metal Probes,” Clinics in Plastic Surgery 26, no. 3 (1999): 447–461, https://doi.org/10.1016/s0094‐1298(20)32638‐9.
D. Wang, A. Roy, and V. V. Silberschmidt, “Production of High‐Quality Extremely‐Thin Histological Sections by Ultrasonically Assisted Cutting,” Journal of Materials Processing Technology 276 (2020): 116403, https://doi.org/10.1016/j.jmatprotec.2019.116403.
S. Zhang, C. Li, L. Cao, et al., “Modeling and Ex Vivo Experimental Validation of Liver Tissue Carbonization With Laser Ablation,” Computer Methods and Programs in Biomedicine 217 (2022): 106697, https://doi.org/10.1016/j.cmpb.2022.106697.
W. Karaki, A. Akyildiz, S. De, and D.‐A. Borca‐Tasciuc, “Energy Dissipation in Ex Vivo Porcine Liver During Electrosurgery,” IEEE Transactions on Biomedical Engineering 64, no. 6 (2017): 1211–1217: June, https://doi.org/10.1109/tbme.2016.2595525.
W. Karaki, C. A. Rahul Lopez, D.‐A. Borca‐Tasciuc, and S. De, “A Two‐Scale Model of Radio‐Frequency Electrosurgical Tissue Ablation,” Computational Mechanics 62, no. 4 (2018): 803–814, https://doi.org/10.1007/s00466‐017‐1529‐6.
W. Karaki, R. Rahul, C. A. Lopez, D.‐A. Borca‐Tasciuc, and S. De, “A Continuum Thermomechanical Model of In Vivo Electrosurgical Heating of Hydrated Soft Biological Tissues,” International Journal of Heat and Mass Transfer 127, no. Dec (2018): 961–974, https://doi.org/10.1016/j.ijheatmasstransfer.2018.07.006.
W. Karaki, R. Rahul, C. A. Lopez, D.‐A. Borca Tasciuc, and S. De, “A Continuum Thermomechanical Model for the Electrosurgery of Soft Hydrated Tissues Using a Moving Electrode,” Computer Methods in Biomechanics and Biomedical Engineering 23, no. 16 (2020): 1317–1335: Dec., https://doi.org/10.1080/10255842.2020.1798415.
C.‐H. Yang, W. Li, and R. K. Chen, “Characterization of the Electrosurgical Tissue Joining Process Using Dynamic Impedance and Energy Efficiency,” Journal of Manufacturing Science and Engineering 141, no. Apr (2019): 054502, https://doi.org/10.1115/1.4043267.
C.‐H. Yang, W. Li, and R. K. Chen, “Determination of Tissue Thermal Conductivity as a Function of Thermal Dose and Its Application in Finite Element Modeling of Electrosurgical Vessel Sealing,” IEEE Transactions on Biomedical Engineering 67, no. 10 (2020): 2862–2869, https://doi.org/10.1109/tbme.2020.2972465.
Zhang, J., Hills, J., Zhong, Y., Shirinzadeh, B., Smith, J., and Gu, C. “Gpu‐accelerated Finite Element Modeling of Bio‐Heat Conduction for Simulation of Thermal Ablation”. Journal of Mechanics in Medicine and Biology, 18, no. 07 (2018): 1840012, https://doi.org/10.1142/s0219519418400122.
J. Zhang, J. Hills, Y. Zhong, B. Shirinzadeh, J. Smith, and C. Gu, “Modeling of Soft Tissue Thermal Damage Based on GPU Acceleration,” Computer Assisted Surgery 24, no. sup1 (2019): 5–12, https://doi.org/10.1080/24699322.2018.1557891.
Fankell, D. P., Kramer, E., Cezo, J., Taylor, K. D., Ferguson, V. L., and Rentschler, M. E., “A Novel Parameter for Predicting Arterial Fusion and Cutting in Finite Element Models”, Annals of Biomedical Engineering, 44, no. 11 (2016): 3295–3306, https://doi.org/10.1007/s10439‐016‐1588‐4.
P. Wongchadakul, P. Rattanadecho, and T. Wessapan, “Implementation of a Thermomechanical Model to Simulate Laser Heating in Shrinkage Tissue (Effects of Wavelength, Laser Irradiation Intensity, and Irradiation Beam Area),” International Journal of Thermal Sciences 134, no. Dec (2018): 321–336, https://doi.org/10.1016/j.ijthermalsci.2018.08.008.
R. Chen, F. Lu, F. Wu, T. Jiang, L. Xie, and D. Kong, “An Analytical Solution for Temperature Distributions in Hepatic Radiofrequency Ablation Incorporating the Heat‐Sink Effect of Large Vessels,” Physics in Medicine and Biology 63, no. 23 (2018): 235026, https://doi.org/10.1088/1361‐6560/aaeef9.
C. J. Paulus, N. Haouchine, S.‐H. Kong, R. V. Soares, D. Cazier, and S. Cotin, “Handling Topological Changes During Elastic Registration,” International Journal of Computer Assisted Radiology and Surgery 12, no. 3 (2017): 461–470, https://doi.org/10.1007/s11548‐016‐1502‐4.
J. Wu, R. Westermann, and C. Dick, “A Survey of Physically Based Simulation of Cuts in Deformable Bodies,” Computer Graphics Forum 34, no. 6 (2015): 161–187, https://doi.org/10.1111/cgf.12528.
M. Wang and Y. Ma, “A Review of Virtual Cutting Methods and Technology in Deformable Objects,” International Journal of Medical Robotics and Computer Assisted Surgery 14, no. 5 (2018): e1923, https://doi.org/10.1002/rcs.1923.
C. J. Paulus, L. Untereiner, H. Courtecuisse, S. Cotin, and D. Cazier, “Virtual Cutting of Deformable Objects Based on Efficient Topological Operations,” Visual Computer 31, no. 6‐8 (2015): 831–841, https://doi.org/10.1007/s00371‐015‐1123‐x.
W. Shi, P. X. Liu, and M. Zheng, “Cutting Procedures With Improved Visual Effects and Haptic Interaction for Surgical Simulation Systems,” Computer Methods and Programs in Biomedicine 184 (2020): 105270, https://doi.org/10.1016/j.cmpb.2019.105270.
R. Aras, Y. Shen, and M. Audette, “An Analytic Meshless Enrichment Function for Handling Discontinuities in Interactive Surgical Simulation,” Advances in Engineering Software 102 (2016): 40–48, https://doi.org/10.1016/j.advengsoft.2016.08.011.
Z. Lu, V. S. Arikatla, Z. Han, B. F. Allen, and S. De, “A Physics‐Based Algorithm for Real‐Time Simulation of Electrosurgery Procedures in Minimally Invasive Surgery,” International Journal of Medical Robotics and Computer Assisted Surgery 10, no. 4 (2014): 495–504, https://doi.org/10.1002/rcs.1561.
Y. Sui, J. J. Pan, H. Qin, H. Liu, and Y. Lu, “Real‐Time Simulation of Soft Tissue Deformation and Electrocautery Procedures in Laparoscopic Rectal Cancer Radical Surgery,” International Journal of Medical Robotics and Computer Assisted Surgery 13, no. 4 (2017): e1827: e1827 RCS‐17‐0006.R2, https://doi.org/10.1002/rcs.1827.
M. Wang, Y. Ma, and F. Liu, “A Novel Virtual Cutting Method for Deformable Objects Using High‐Order Elements Combined With Mesh Optimisation,” International Journal of Medical Robotics and Computer Assisted Surgery 18, no. 5 (2022): e2423, https://doi.org/10.1002/rcs.2423.
N. Moës, J. Dolbow, and T. Belytschko, “A Finite Element Method for Crack Growth Without Remeshing,” International Journal for Numerical Methods in Engineering 46, no. 1 (1999): 131–150, https://doi.org/10.1002/(sici)1097‐0207(19990910)46:1<131::aid‐nme726>3.3.co;2‐a.
D. Koschier, J. Bender, and N. Thuerey, “Robust eXtended Finite Elements for Complex Cutting of Deformables,” ACM Transactions on Graphics 36, no. 4 (2017): 55:1–55:13: July, https://doi.org/10.1145/3072959.3073666.
C. Paulus, S. Suwelack, N. Schoch, S. Speidel, R. Dillmann, and V. Heuveline, “Simulation of Complex Cuts in Soft Tissue With the Extended Finite Element Method (X‐FEM),” Preprint Series of the Engineering Mathematics and Computing Lab(02) (2014): Dec. Number: 02.
H. Li, J. Li, and H. Yuan, “A Review of the Extended Finite Element Method on Macrocrack and Microcrack Growth Simulations,” Theoretical and Applied Fracture Mechanics 97 (2018): 236–249, https://doi.org/10.1016/j.tafmec.2018.08.008.
A. R. Khoei, “Extended Finite Element Method: Theory and Applications, (Chichester, West Sussex: John Wiley & Sons, Inc., 2015).
Y. Shu, Y. Li, M. Duan, and F. Yang, “An X‐FEM Approach for Simulation of 3‐D Multiple Fatigue Cracks and Application to Double Surface Crack Problems,” International Journal of Mechanical Sciences 130, no. Sept (2017): 331–349, https://doi.org/10.1016/j.ijmecsci.2017.06.007.
L. Wang, N. A. Hill, S. M. Roper, and X. Luo, “Modelling Peeling‐ and Pressure‐Driven Propagation of Arterial Dissection,” Journal of Engineering Mathematics 109, no. 1 (2018): 227–238, https://doi.org/10.1007/s10665‐017‐9948‐0.
S. Niroomandi, I. Alfaro, D. González, E. Cueto, and F. Chinesta, “Real‐Time Simulation of Surgery by Reduced‐Order Modeling and X‐Fem Techniques,” International Journal for Numerical Methods in Biomedical Engineering 28, no. 5 (2012): 574–588, https://doi.org/10.1002/cnm.1491.
L. M. Vigneron, M. P. Duflot, P. A. Robe, S. K. Warfield, and J. G. Verly, “2d Xfem‐Based Modeling of Retraction and Successive Resections for Preoperative Image Update,” Computer Aided Surgery 14, no. 1‐3 (2009): 1–20, https://doi.org/10.1080/10929080903052677.
L. Jeřábková and T. Kuhlen, “Stable Cutting of Deformable Objects in Virtual Environments Using Xfem,” IEEE Computer Graphics and Applications 29, no. 2 (2009): 61–71, https://doi.org/10.1109/mcg.2009.32.
M. Naheem, A. A. G, S. A, P. Dumpuri, M. Lakshmanan, and M. Sivaprakasam, “Optical Tracker Assessment for Image Guided Surgical Interventions,” in 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), (Messina, Italy: IEEE, 2022), 1–6.
N. Sukumar, D. Chopp, N. Moës, and T. Belytschko, “Modeling Holes and Inclusions by Level Sets in the Extended Finite‐Element Method,” Computer Methods in Applied Mechanics and Engineering 190, no. 46 (2001): 6183–6200, https://doi.org/10.1016/s0045‐7825(01)00215‐8.
N. Moës, M. Cloirec, P. Cartraud, and J.‐F. Remacle, “A Computational Approach to Handle Complex Microstructure Geometries,” Computer Methods in Applied Mechanics and Engineering 192, no. 28 (2003): 3163–3177: Multiscale Computational Mechanics for Materials and Structures, https://doi.org/10.1016/s0045‐7825(03)00346‐3.
T. Tanaka, K. Ueda, M. Hayashi, and K. Hamano, “Clinical Application of an Ultrasonic Scalpel to Divide Pulmonary Vessels Based on Laboratory Evidence,” Interactive Cardiovascular and Thoracic Surgery 8, no. 6 (2009): 615–618, https://doi.org/10.1510/icvts.2008.200584.
G. Sankaranarayanan, R. R. Resapu, D. B. Jones, S. Schwaitzberg, and S. De, “Common Uses and Cited Complications of Energy in Surgery,” Surgical Endoscopy 27, no. 9 (2013): 3056–3072, https://doi.org/10.1007/s00464‐013‐2823‐9.
M. Liberman, M. Khereba, B. Nasir, et al., “Pulmonary Artery Sealing Using the Harmonic Ace+ Shears for Video‐Assisted Thoracoscopic Surgery Lobectomy,” Annals of Thoracic Surgery 100, no. 3 (2015): 898–904, https://doi.org/10.1016/j.athoracsur.2015.04.063.
Y. Wang, B. L. Tai, H. Yu, and A. J. Shih, “Silicone‐Based Tissue‐Mimicking Phantom for Needle Insertion Simulation,” Journal of Medical Devices 8, no. 2 (2014): Mar, https://doi.org/10.1115/1.4026508.
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Grant Information:
2022YFB4700800 National Key R&D Program: Development and Verification of specific Single-port Robotic System for Cardiac Surgery; 81827804 National Key Scientific Instrument and Equipment Development Project
Contributed Indexing:
Keywords: 3D extended finite element method; biomechanics; energy‐based cutting; surgery simulation
Entry Date(s):
Date Created: 20250304 Date Completed: 20250511 Latest Revision: 20250511
Update Code:
20250511
DOI:
10.1002/rcs.70052
PMID:
40035427
Database:
MEDLINE
Weitere Informationen
Background: Energy-based cutting tools combine cutting and haemostasis, making them widely utilised. Accurately predicting tissue deformation during energy-based cutting can provide precise navigation information to enhance surgical outcomes, while existing surgical cutting models focussing on blades-based tools are unable to accurately predict energy cutting deformation.
Methods: This paper aims to propose a novel energy cutting model under different cutting trajectories. First, a stratified discontinuity mechanism-based modelling method of energy cutting is proposed. Second, a parameterised impact zone model is developed for describing complex surgical manipulations using intraoperative trajectories. Third, an incremental cutting computation algorithm and a novel void enrichment function are proposed to enhance the computational efficiency.
Results: The mean absolute deformation errors of numerical and experimental results under various of cutting trajectories are less than 1 mm. The computation efficiency and convergence are also validated.
Conclusions: The desired cutting deformation accuracy is achieved robustly while maintaining computation efficiency.
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