Clare McElcheran1, Benson Yang2, Fred Tam2, Laleh Golenstani-Rad3, and Simon Graham2
1University of Toronto, Toronto, ON, Canada, 2Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 3Massachusetts General Hospital, Charlestown, MA, United States
Synopsis
A method to create a heterogeneous head phantom with long implanted wires
to improve the evaluation of tissue heating surrounding deep brain stimulation
(DBS) leads is presented. The phantom
consists of three different oil-in-gelatin dispersions with electrical
properties that mimic grey matter, white matter and cerebral spinal fluid (CSF) as
well as a human skull. 3D printing
technology was used to create gelatin moulds and an acrylic casing. A CT scan of the human skull was obtained to
create a mesh-based digital representation.
Thus, the physical phantom has an associated mesh-based digital model
which can be used in electromagnetic simulation.Introduction:
Phantoms containing uniform media are frequently used to mimic human
tissue, but are an oversimplification for some applications. For example, heterogeneous tissue properties
are important when determining the spatial profile of the radiofrequency (RF)
field, of the specific absorption rate (SAR) and of tissue heating
1. Determination of SAR is closely tied with
computational simulations, and, as such, there is a need to validate simulation
results in close association with 3D heterogeneous phantoms. Such phantoms are now easily achieved via 3D
printing technology. In this work, we
propose a heterogeneous phantom created as part of investigating, monitoring,
and ultimately suppressing heating effects resulting from implanted deep brain
stimulators (DBS)
2.
Theory & Methods:
The tissue compartments of interest are
the basal ganglia (common DBS targets for treating Parkinson’s Disease), the
surrounding sub-cortical white matter (represented by the “inner brain”), cortical
grey matter (represented by the “outer brain”), and the skull. Soft tissues within this set were represented
by oil-in-gelatin dispersions3,4 of varying concentrations. Three different gelatin dispersions were
created to simulate grey matter (gelatin #1), white matter (gelatin #2) and CSF
(gelatin #3). Bovine skin gelatin (225 bloom) was used to create a stiff gelatin, ideal for maintaining its shape through
the multi-step setting process outlined below.
To vary the permittivity, various concentrations of canola oil were
emulsified in the gelatin mixture prior to setting. Although canola oil affected the conductivity
as well as the permittivity, the effect was not large enough at the frequency
of interest (128 MHz) to produce substantial systematic errors. Thus, the desired conductivities were
achieved simply by adding sodium chloride to distilled water used in the
gelatin mixture. The permittivity and
conductivity of each tissue-equivalent material was measured with a dielectric
probe (KT-85070E, Keysight Technologies, Inc.).
To represent implanted DBS leads, two long copper wires were inserted
within the gelatin brain along with two temperature probes (OTG-MPK5,
Opsens)
located at the tips.
The shapes of each soft tissue structure
were created using 3D printed moulds designed to approximate the shape of human
brain (Figure 1(a)). An acrylic casing
in the approximate shape of a human head was also 3D-printed (Figure
1(b)). The 3D printed moulds of the
basal ganglia, white matter and grey matter and the acrylic shell were created
via a digital mesh file. Thus, the
physical phantom was related to a mesh-based digital model compatible with most
electromagnetic simulation software. A
CT scan of the human skull was obtained and converted to a mesh file using Amira
(FEI Co). The mesh files were assembled with relative positions that were matched
to those created in the gelatin setting method described below.
The gelatin dispersions mimicking grey
and white matter were set in a concentric layered fashion to emulate a
simplified version of the human brain. First,
gelatin #1 was poured into moulds to create the basal ganglia. The copper wire was
then inserted after gelatin #1 was set. Gelatin
#2 was then filled around the basal ganglia and the wires to maintain
positioning. Afterwards, the basal
ganglia complex was placed in the mould for the inner brain structure which was
filled with gelatin #2 to a precise depth to ensure appropriate location of the
basal ganglia relative to the inner brain.
The wires and temperature probes exited the mould through drill holes
oriented at a 60º angle
to the central axis of the mould. The
mould was then filled with gelatin #2 and allowed to set. The outer brain, using gelatin #1, was set
via a similar method. The acrylic shell was
then filled with gelatin #3 to create a base for the skull. Gelatin #3 was poured in two additional steps
to allow for accurate placement of the brain.
Results:
Oil and sodium concentrations, permittivity and conductivity for each
medium are listed in Table 1. The
permittivity and conductivity values approximate the desired structure to
within 10% of values found in literature
5.
The assembled digital model is shown in Figure 2. The brain at two
stages of development (white matter only and with the external grey matter) is
shown in Figure 3.
Conclusion:
A procedure for creating a complex, heterogeneous gelatin-based phantom
with corresponding 3D mesh files has been developed. This phantom will improve evaluation of
heating in DBS implants over what can be deduced using a uniform phantom.
Acknowledgements
No acknowledgement found.References
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