Laser-induced thermotherapy in the brain is a minimally invasive procedure to denature tumor tissue. However, irregularly shaped brain tumors cannot be treated using existing commercial systems. Thus, we present a new concept for laser-induced thermotherapy using a concentric tube robotic system. The planning procedure is complex and consists of the optimal distribution of thermal laser ablations within a volume as well as design and configuration parameter optimization of the concentric tube robot.
We propose a novel computer-assisted planning procedure that decomposes the problem into task- and robot-specific planning and uses a multi-objective particle swarm optimization algorithm with variable length.
The algorithm determines a Pareto-front of optimal ablation distributions for three patient datasets. It considers multiple objectives and determines optimal robot parameters for multiple trajectories to access the tumor volume.
We prove the effectiveness of our planning procedure to enable the treatment of irregularly shaped brain tumors. Multiple trajectories further increase the applicability of the procedure.
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Altrogge I, Preusser T, Kröger T, Büskens C, Pereira P, Schmidt D, Peitgen HO (2007) Multiscale optimization of the probe placement for radiofrequency ablation. Acad Radiol 14:1310–24
Audigier C, Mansi T, Delingette H, Rapaka S, Passerini T, Mihalef V, Jolly MP, Pop R, Diana M, Soler L, Kamen A, Comaniciu D, Ayache N (2017) Comprehensive preclinical evaluation of a multi-physics model of liver tumor radiofrequency ablation. Int J Comput Assist Radiol Surg 12(9):1543–1559
Baegert C, Villard C, Schreck P, Soler L (2007) Multi-criteria trajectory planning for hepatic radiofrequency ablation. In: Medical image computing and computer-assisted intervention—MICCAI, pp 676–684
Baykal C, Torres LG, Alterovitz R (2015) Optimizing design parameters for sets of concentric tube robots using sampling-based motion planning. In: IEEE international conference on intelligent robots and systems, pp 4381–4387
Bedell C, Lock J, Gosline AH, Dupont PE (2012) Design optimization of concentric tube robots based on task and anatomical constraints. In: IEEE international conference on robotics and automation, pp 398–403
Bergeles C, Gosline AH, Vasilyev NV, Codd PJ, del Nido PJ, Dupont PE (2015) Concentric tube robot design and optimization based on task and anatomical constraints. IEEE Trans Robot 31(1):67–84
Burdette EC, Rucker DC, Prakash P, Diederich CJ, Croom JM, Clarke C, Stolka P, Juang T, Boctor EM, Webster III RJ (2010) The ACUSITT ultrasonic ablator: the first steerable needle with an integrated interventional tool. In: SPIE medical imaging, pp 1–10
Burgner J, Gilbert HB, Webster III RJ (2013) On the computational design of concentric tube robots: incorporating volume-based objectives. In: IEEE international conference on robotics and automation, pp 1193–1198
Burgner-Kahrs J, Rucker DC, Choset H (2015) Continuum robots for medical applications: a survey. IEEE Trans Robot 31(6):1261–1280
Chen CCR, Miga MI, Galloway RL (2009) Optimizing electrode placement using finite-element models in radiofrequency ablation treatment planning. IEEE Trans Biomed Eng 56(2):237–245
Comber DB, Slightam JE, Gervasi VR, Neimat JS, Barth EJ (2016) Design, additive manufacture, and control of a pneumatic MR-compatible needle driver. IEEE Trans Robot 32(1):138–149
Delorme M, Iori M, Martello S (2015) Bin packing and cutting stock problems: mathematical models and exact algorithms. Eur J Oper Res 255(1):1–20
Granna J, Graf A, Nabavi A, Burgner-Kahrs J (2017) A manual actuation system for laser induced thermal therapy of malignant brain tumors. In: Proceedings of the annual meeting of the german society for computer- and robot-assisted surgery, pp 125–130
Granna J, Nabavi A, Burgner-Kahrs J (2017) Toward computer-assisted planning for interstitial laser ablation of malignant brain tumors using a tubular continuum robot. In: Medical image computing and computer-assisted intervention—MICCAI, pp 557–565
Graves C, Slocum A, Gupta R, Walsh CJ (2012) Towards a compact robotically steerable thermal ablation probe. In: IEEE international conference on robotics and automation, pp 709–714
Ha J, Park FC, Dupont PE (2014) Achieving elastic stability of concentric tube robots through optimization of tube precurvature. In: IEEE/RSJ international conference on intelligent robots and systems, pp 864–870
Kahrs LA, Burgner J, Klenzner T, Raczkowsky J, Schipper J, Wörn H (2010) Planning and simulation of microsurgical laser bone ablation. Int J Comput Assist Radiol Surg 5(2):155–162
Kapoor A, Li M, Wood B (2011) Mixed variable optimization for radio frequency ablation planning. In: SPIE medical imaging, pp 1–7
Kennedy J, Eberhart R (1995) Particle swarm optimization. In: IEEE international conference on neural networks, pp 1942–1948
Li G, Su H, Cole GA, Shang W, Harrington K, Camilo A, Pilitsis JG, Fischer GS (2015) Robotic system for MRI-guided stereotactic neurosurgery. IEEE Trans Biomed Eng 62(4):1077–1088
McCreedy ES, Cheng R, Hemler PF, Viswanathan A, Wood BJ, McAuliffe MJ (2006) Radio frequency ablation registration, segmentation, and fusion tool. IEEE Trans Inf Technol Biomed 10(3):490–496
Mensel B, Weigel C, Hosten N (2006) Laser-induced thermotherapy. Recent Res Cancer Res 167:69–75
Motkoski JW, Yang FW, Lwu SHH, Sutherland GR (2013) Toward robot-assisted neurosurgical lasers. IEEE Trans Biomed Eng 60(4):892–898
Mukhopadhyay A, Mandal M (2014) Identifying non-redundant gene markers from microarray data: a multiobjective variable length PSO-based approach. IEEE Trans Comput Biol Bioinform 11(6):1545–5963
Ren H, Campos-Nanez E, Yaniv Z, Banovac F, Abeledo H, Hata N, Cleary K (2014) Treatment planning and image guidance for radiofrequency ablation of large tumors. IEEE J Biomed Health Inf 18(3):920–928
Ren H, Guo W, Sam Ge S, Lim W (2014) Coverage planning in computer-assisted ablation based on genetic algorithm. Comput Biol Med 49(1):36–45
Rezapour M, Leuthardt E, Gorlewicz LJ (2016) Design of a steerable guide for laser interstitial thermal therapy of brain tumors. J Med Dev 10(3):1–2
Su B, Tang J, Liao H (2015) Automatic laser ablation control algorithm for an novel endoscopic laser ablation end effector for precision neurosurgery. In: IEEE international conference on intelligent robots and systems, pp 4362–4367
Swaney PJ, Burgner J, Pheiffer TS, Rucker DC, Gilbert HB, Ondrake JE, Simpson AL, Burdette EC, Miga MI, Webster III RJ (2012) Tracked 3D ultrasound targeting with an active Cannula. In: SPIE medical imaging, pp 1–9
Tani S, Tatli S, Hata N, Garcia-Rojas X, Olubiyi OI, Silverman SG, Tokuda J (2016) Three-dimensional quantitative assessment of ablation margins based on registration of pre- and post-procedural MRI and distance map. Int J Comput Assist Radiol Surg 11(6):1133–1142
Xue B, Ma X, Wang H, Gu J, Li Y (2014) Improved variable-length particle swarm optimization for structure-adjustable extreme learning machine. Control Intell Syst 42(4):1–9
This research was supported in parts by the International Neurobionics Foundation and by the German Research Foundation under Award No. BU-2935/1-1.
Conflict of interest
The authors declare that they have no conflict of interest.
This article does not contain any studies with human participants or animals performed by any of the authors.
Informed consent was obtained from all individual participants included in the study.
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Granna, J., Nabavi, A. & Burgner-Kahrs, J. Computer-assisted planning for a concentric tube robotic system in neurosurgery. Int J CARS 14, 335–344 (2019). https://doi.org/10.1007/s11548-018-1890-8
- Minimally invasive surgery
- Concentric tube robot