T-Phantom: a New Phantom Design for Neurosurgical Robotics.
Svaco, Marko ; Jerbic, Bojan ; Stiperski, Ivan 等
T-Phantom: a New Phantom Design for Neurosurgical Robotics.
1. Introduction
The use of robotics in neurosurgery is experiencing constant growth
and novel robotic systems are continuously being developed to assist in
complex neurosurgery tasks. In particular, neurosurgery operations are
extremely lengthy and tedious and the application of robots is expected
to provide the surgeon and patient with multiple benefits [1], [2].
Neurosurgical procedures performed by a robotic system yield better and
faster performance, are less invasive and enable faster recovery of the
patient [3]. By this means the utilization of hospital operational
resources is considerably improved. Prior to performing in vivo
procedures, it is necessary to make a diverse range of testing on
phantoms [1], [4] for testing the accuracy and consistency of robotic
systems. The phantom representing a patient head (more specifically the
intracranial space) does not necessarily need to be anthropomorphic.
Phantoms developed for stereotactic procedures need to provide an
accurate replica of targeted trajectories in stereotactic procedures.
Phantom designs can also provide functionalities [5] for drilling
procedures and tissue simulations with different characteristics of the
human head (skin, bone, brain). This research discusses only the former
problem, that of translational and angular displacements in
trajectories. Each set of translational displacements can be further
expressed as Euclidian distance errors. In the operating room these
errors are accounted from CT or MRI scans, errors in registration
procedures, mechanical errors in robotic systems or stereotactic frames
and other.
In this paper we have developed a novel phantom called the
T-Phantom (Trajectory Phantom) which is to the author's knowledge
the first stereotactic phantom which enables simultaneous measurements
both in deviation from target and entry positions and angular deviation
from the planned trajectory. In the first part of the paper we give a
systematic overview of various phantom designs for both robotic
neurosurgical systems and for stereotactic frames. The problem of
phantom design in neurosurgery has been tackled by many researchers. In
each phantom design and associated accuracy measurement method we
identify measurable variables and give a critical overview. Finally we
discuss the design of the T-Phantom and apply a previously developed
stereo vision measurement method [6] for objective accuracy measurement.
2. Neurosurgical phantom designs
The Neuromate (Renishaw) anthropomorphic phantom described in [7]
(Fig. 1a) uses five implantable frameless markers (Fischer-Leibinger,
Freiburg, Germany), randomly distributed on the surface, which are used
for the registration in the infrared region. A ZD (Fischer-Leibinger,
Freiburg, Germany) stereotactic frame is fitted onto the phantom. A
different phantom design for the Neuromate robot [8] uses a technique of
milling foam blocks (Fig. 1.b) to a predefined shape. Each of the foam
blocks is measured after the milling procedure to acquire volumetric
errors.
The phantom used to check the robot system Pathfinder [9] consists
of spherical targets (Fig. 1c) and detachable cylindrical surface
serving as a simulation of skin to which the markers can be attached for
the registration procedure. Spherical targets are 10 mm in diameter and
are located at positions that simulate the most common target depths
during neurosurgical operation procedures. A depth gauge is used to
measure the application accuracy. Another phantom design for the
Pathfinder robot [4] employs an anthropomorphic phantom. Onto a replica
of the human skull registration markers and ten target surface points
are mounted (Fig. 1d). The interior of the phantom is equipped with nine
(9) depth target points. The measurements were made using vernier
calipers.
The NeuroMaster [12] phantom (Fig. 1g) has a similar design and is
made of cylinders with plastic spheres. Four spheres are used as markers
for the registration of phantom while the other are used as target
points.
The phantom [10] for the robotic system ROSA (Medtech innovative
surgical technology) is shown in Fig. 1e. The phantom is made of a base
with hollow polymer cylinders representing targets at different depths.
A removable water tank gives a possibility of recording the phantom on
MRI. The phantom has a hollow plastic face that can be filled with a
contrast agent to make it suitable for scanning on MRI scanners.
The MARS stereotactic robot [11] uses commercially available
phantoms made as replicas of the human skull (Fig. 1f). Inside the skull
cylindrical conical cylinders represent target points. The measurement
is performed with two vertically mounted cameras which measures the
position of the probe tip deviation at the target point.
Phantom designs for stereotactic frames such as Leksell frame [14]
and CRW frame [13] are shown in Fig. 1i and Fig. 1h. Other phantom
designs include gel based phantoms [15] dedicated for MRI scanning,
special phantoms with divots [16], hollow cylindrical phantoms [17] with
different target materials and resin based phantoms [18] with
implantable titanium screws.
3. T-Phantom
For the purpose of measuring the accuracy of robotic System RONNA
[1] a phantom design called the T-Phantom is proposed. The T-Phantom
(Fig. 2) consists of a Plexiglas construction and a localization plate
(RONNAmarker) with three (or four) spherical markers. The spherical
markers are used to define the phantom coordinate system. The phantom
has hollow cylinders printed in selective laser sintering technology
(SLS) which simulate operation trajectories.. The phantom is designed to
simulate trajectories in neurosurgical applications under four tilt
angles (45 [degrees], 35 [degrees], 25 [degrees], 15 [degrees]), and
four trajectories perpendicular to the phantom base. The maximum spatial
angle between two trajectories is 70[degrees]. Trajectories are selected
in accordance with common trajectory angles in actual operations. The
top of the T-Phantom has a radius simulating the top of the human head
For attaching the localization plate (RONNAmarker). The phantom has
machined grooves on each of the tilted trajectories so that the distance
from entry to target point can be adjusted. Each trajectory consists of
two parallel rectangular prisms with coaxial cylindrical bores. Three
rings made from selective laser sintering (SLS) are located in each of
the bores. The outer white cylinders are 2 mm thick and the inner black
cylinder is 6 mm thick as shown in Fig. 3.
The measurement procedure is as follows. The T-Phantom is scanned
on a CT scanner (512x512 with 0,75mm slice thickness, no gantry). The
trajectories are planned in the operation planning software. The phantom
is positioned in a Mayfield clamp after which the RONNA robotic system
localizes the phantom and positions the tool guide to the planned
trajectory. The surgical tool (probe) is calibrated to a predefined
depth as the robot tool center point. The insertion of the probe is done
manually to the predefined depth. At this step the measurement is
carried out on the entry and target point for each trajectory as shown
in from Fig. 3.
In Fig. 3 the main measurement concept is depicted through a
picture taken by our stereo vision system [6]. The picture shows a
target point in which the depth error in the Z direction is depicted by
the yellow arrow. The red dotted line represents the rotational axis of
the probe while the blue dotted line represents the rotational axis of
the cylindrical SLS inserts. By measuring the position of the probe
relative to the phantom in two perpendicular camera directions the total
Euclidian error can be computed for both the target and entry point. By
measuring the XY translational error at the target point and the XY
translational error of the Entry point the angular error is calculated.
The angular error reflects the total (spatial) angular displacement
error of the probe (red dotted line) with respect to the ideal
trajectory (blue dotted line).
4. Conclusion and future work
Table 1. shows a detailed comparison of thirteen phantom designs
and the new T- Phantom design. Both neurosurgical robotic phantoms and
phantoms intended for stereotactic frames are compared (CRW
Precision[TM] Arc system, ZD stereotactic system, Leksell Stereotactic
System[R]). The CT scan column (Computed Tomography) depicts if the
phantom design is suitable for CT technology. MRI scan (Magnetic
Resonance Imaging) depicts if the phantom design is suitable for MRI
technology. Target point and entry point error define if it is possible
to localize positioning errors of neurosurgical tools (probes, drills,
etc.) with respect to planned operation points in a given phantom
design. The angular error further takes into considerations errors
derived from entry and target points. The last column in Table 1.
differentiates anthropomorphic[5] phantoms from non-anthropomorphic
phantom designs.
It can be observed that only the ROSA[TM] phantom design enables
simultaneous measurements of both errors in target and entry points. The
ROSA phantom design with hollow cylinders does not enable objective
quantitative measurements but only measurements of type "better
than". The main advantage of the novel T- Phantom design is that it
enables simultaneous objective measurements of translational errors in
positioning of neurosurgical instruments at target and entry points. Our
design also provides a possibility of angular displacement calculations
and deviations from planned trajectories. The T-Phantom can be also used
or adapted to other fields and applications where there is a need for
measurements of deviations from planned translational (linear)
trajectories. The T-Phantom design is scalable so that it can be used
ranging from applications dedicated for microsurgery to applications
where distances from target to entry point considerably exceed 120mm
(longest trajectories in neurosurgery).
In future research we plan to optimize the phantom design so that
it can be machined from polymer components with higher accuracy. Also a
new redesign should be done to enable scanning of the phantom using MRI
technology. Furthermore, we plan to make a detailed accuracy analysis of
the measurement method by comparing the stereo vision measurements with
ground truth measurements made with either a coordinate measuring
machine or a high accuracy vision system [19].
DOI: 10.2507/27th.daaam.proceedings.039
5. Acknowledgments
Authors would like to acknowledge the Croatian Scientific
Foundation through the research project ACRON--A new concept of Applied
Cognitive Robotics in clinical Neuroscience.
6. References
[1] B. Jerbic, G. Nikolic, D. Chudy, M. Svaco, and B. Sekoranja,
"Robotic application in neurosurgery using intelligent visual and
haptic interaction," International Journal of Simulation Modelling,
vol. 14, no. 1, pp. 71-84, 2015
[2] G. R. Sutherland, S. Wolfsberger, S. Lama, and K. Zarei-nia,
"The evolution of neuroArm," Neurosurgery, vol. 72 Suppl 1,
pp. 27-32, doi: .1227/NEU.0b013e318270da19 2013
[3] M. Hoeckelmann, I. J. Rudas, P. Fiorini, F. Kirchner, and T.
Haidegger, "Current Capabilities and Development Potential in
Surgical Robotics," International Journal of Advanced Robotic
Systems, p. 1, 2015
[4] M. S. Eljamel, "Validation of the PathFinder[TM]
neurosurgical robot using a phantom," The International Journal of
Medical Robotics and Computer Assisted Surgery, vol. 3, no. 4, pp.
372-377, doi: .1002/rcs.153 2007
[5] A. Muns, J. Meixensberger, and D. Lindner, "Evaluation of
a novel phantom- based neurosurgical training system," Surgical
Neurology International, vol. 5, no. 1, p. 173, 2014
[6] M. Svaco, B. Sekoranja, F. Suligoj, and B. Jerbic,
"Calibration of an Industrial Robot Using a Stereo Vision
System," in Procedia Engineering, 2014, vol. 69, pp. 459-463
[7] Q. H. Li, L. Zamorano, A. Pandya, R. Perez, J. Gong, and F.
Diaz, "The application accuracy of the NeuroMate robot--A
quantitative comparison with frameless and frame-based surgical
localization systems," Comput. Aided Surg., vol. 7, no. 2, pp.
90-98, doi: .1002/igs.10035 2002
[8] T. Haidegger, "Improving the Accuracy and Safety of a
Robotic System for Neurosurgery," 2008
[9] P. S. Morgan, T. Carter, S. Davis, A. Sepehri, J. Punt, P.
Byrne, A. Moody, and P. Finlay, "The application accuracy of the
Pathfinder neurosurgical robot," International Congress Series,
vol. 1256, pp. 561-567, Jun. 2003
[10] M. Lefranc, C. Capel, A. S. Pruvot, A. Fichten, C. Desenclos,
P. Toussaint, D. Le Gars, and J. Peltier, "The Impact of the
Reference Imaging Modality, Registration Method and Intraoperative Flat-
Panel Computed Tomography on the Accuracy of the ROSA[R] Stereotactic
Robot," Stereotactic and Functional Neurosurgery, vol. 92, no. 4,
pp. 242-250, 2014
[11] M. Heinig, "Design and Evaluation of the Motor Assisted
Robotic Stereotaxy System MARS," Lubeck, 2012
[12] J. Liu, Y. Zhang, and Z. Li, "The application accuracy of
neuromaster: a robot system for stereotactic neurosurgery," in
Mechatronic and Embedded Systems and Applications, Proceedings of the
2nd IEEE/ASME International Conference on, 2006, pp. 1-5
[13] A. Quinones-Hinojosa, M. L. Ware, N. Sanai, and M. W.
McDermott, "Assessment of Image Guided Accuracy in a Skull Model:
Comparison of Frameless Stereotaxy Techniques vs. Frame-Based
Localization," Journal of Neuro Oncology, vol. 76, no. 1, pp.
65-70, Jan. 2006
[14] C. Yu, "An image fusion study of the geometric accuracy
of magnetic resonance imaging with the Leksell stereotactic localization
system," Journal of Applied Clinical Medical Physics, vol. 2, no.
1, p. 42, Jan. 2001
[15] A. D. Squires, Y. Gao, S. F. Taylor, M. Kent, and Z. T. H.
Tse, "A Simple and Inexpensive Stereotactic Guidance Frame for
MRI-Guided Brain Biopsy in Canines," Journal of Medical
Engineering, vol. 2014, pp. 1-7, 2014
[16] D. A. Nagy, T. Haidegger, and Z. Yaniv, "A Framework for
Semi-Automatic Fiducial Localization in Volumetric Images," in
Augmented Environments for Computer-Assisted Interventions, Springer,
2014, pp. 138-148
[17] S. Poggi, S. Pallotta, S. Russo, P. Gallina, A. Torresin, and
M. Bucciolini, "Neuronavigation accuracy dependence on CT and MR
imaging parameters: a phantom-based study," Physics in medicine and
biology, vol. 48, no. 14, p. 2199, 2003
[18] G. Eggers and J. Muhling, "Template-based registration
for image-guided skull base surgery," Otolaryngology--Head and Neck
Surgery, vol. 136, no. 6, pp. 907-913, Jun. 2007
[19] F. Suligoj, B. Jerbic, M. Svaco, B. Sekoranja, D. Mihalinec,
and J. Vidakovic, "Medical applicability of a low-cost industrial
robot arm guided with an optical tracking system," 2015, pp. 3785-
3790
This Publication has to be referred as: Svaco, M[arko]; Jerbic,
B[ojan]; Stiperski, I[van]; Dlaka, D[omagoj]; Vidakovic, J[osip] &
Sekoranja, B [ojan] (2016). T -Phantom: a New Phantom Design for
Neurosurgical Robotics, Proceedings of the 27th DAAAM International
Symposium, pp.0266-0270, B. Katalinic (Ed.), Published by DAAAM
International, ISBN 978-3-902734-08-2, ISSN 1726-9679, Vienna, Austria
Caption: Fig. 1. Diverse neurosurgical phantom designs: a)
Neuromate phantom [7] b) Neuromate phantom [8] c) Pathfinder phantom [9]
d) Pathfinder phantom [4] e) ROSA phantom [10] f) MARS phantom [11] g)
NeuroMaster phantom [12] h) CRW frame phantom [13] i) Leksell frame
phantom [14]
Caption: Fig. 2. a) T-phantom CAD prototype b)Actual T-Phantom
Caption: Fig. 3. a) Vision system measurement of the target point
Table 1. A systematic comparison of 13 phantom designs with
the developed T-Phantom
Phantom (system) CT MRI Target point
scan scan error
Neuromate[R] [7] yes no yes
Neuromate[R] [8] yes no yes
Pathfinder [9] yes no yes
Pathfinder [4] yes yes yes
ROSA[TM] [10] yes yes yes
MARS [11] yes yes yes
NeuroMaster [12] yes no yes
CRW[TM] frame [13] no yes yes
Leksell[R] frame [14] yes yes yes
Gel based phantom [15] no yes yes
Phantom with divots [16] yes yes yes
Cylindrical phantom [17] yes yes yes
Resin based phantom [18] yes no yes
T-Phantom yes no yes
Phantom (system) Entry point Angular
error error
Neuromate[R] [7] no no
Neuromate[R] [8] no no
Pathfinder [9] no no
Pathfinder [4] no no
ROSA[TM] [10] yes no
MARS [11] no no
NeuroMaster [12] no no
CRW[TM] frame [13] no no
Leksell[R] frame [14] no no
Gel based phantom [15] no no
Phantom with divots [16] no no
Cylindrical phantom [17] no no
Resin based phantom [18] no no
T-Phantom yes yes
Phantom (system) Anthropomorphic
phantom
Neuromate[R] [7] yes
Neuromate[R] [8] yes
Pathfinder [9] no
Pathfinder [4] yes
ROSA[TM] [10] no
MARS [11] yes
NeuroMaster [12] no
CRW[TM] frame [13] yes
Leksell[R] frame [14] no
Gel based phantom [15] no
Phantom with divots [16] no
Cylindrical phantom [17] no
Resin based phantom [18] yes
T-Phantom no
COPYRIGHT 2017 DAAAM International Vienna
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2017 Gale, Cengage Learning. All rights reserved.