Sebastian Walter Rieger1, Karla Miller1, Peter Jezzard1, and Wenchuan Wu1
1Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
Synopsis
In
post mortem MRI, the absence of body temperature autoregulation can lead to
significant local heating in the sample from RF absorption and heat from the
environment. This can interfere with scanning (such as diffusion measurements)
and in unfixed samples, accelerate tissue decomposition. In this work, a
temperature control system is presented which enables prolonged scanning of
post mortem samples at a stable temperature while preserving tissue.
Introduction
During MRI scans, RF energy
transmitted by the excitation pulses is absorbed by the body and causes tissue
heating. In vivo, the heat is dissipated by the body’s thermoregulatory
mechanisms (e.g. blood vessel dilation, perfusion), thus mitigating localised
heating effects and regulating overall body temperature. However, in post
mortem MRI, the absence of thermoregulation may lead to a substantial local temperature increase, particularly
during long scans and at high SAR. In addition, where there is a difference
between sample and room temperature, this will exacerbate the problem of
temperature-related drift (preventing, for example, accurate quantitative diffusion
imaging), and in the case of unfixed samples, may lead to accelerated tissue
decomposition. The need for temperature control became
apparent during investigative scanning in an unfixed porcine brain at 7T while
monitoring sample and surrounding air temperature with fibre-optic temperature
probes (T1S-10-W05-PT05, Neoptix, Canada). This was carried out in order to determine
if tissue heating, whether by heat from the surroundings or by RF absorption, was
likely to be of concern for accuracy of diffusion measurements and for
preservation of unfixed tissue. Pre temperature control, the sample temperature
rose by 5°C, and air temperature inside the coil by 2°C during a six hour scan
(fig. 1). At the end of the scan, the temperature was still rising, suggesting
that thermal equilibrium would not be reached in an acceptable timeframe and
that the sample temperature needed to be controlled to slow down tissue
decomposition during unfixed post mortem scans. In this work, a
temperature control system was developed which allowed long post mortem
scans (10 hours and more) to take place under
conditions where energy deposition leads to tissue heating in the absence of
autoregulation, while eliminating temperature-related signal drift and
mitigating tissue decomposition in unfixed samples.Methods
The temperature control system
(fig. 2) employed a thermal pad (Plastipad Infant CSZ-193, Cincinnati Sub-Zero,
USA) wrapped around the sample, and connected to a recirculating cooler (F250,
JULABO GmbH, Germany) using insulated flexible tubing. Cotton fabric was then
wrapped around the outside of the pad to prevent excessive formation of
condensation when the pad temperature was below ambient. The arrangement of
male and female non-spill valved hose couplings (type NS4D220-06 (male) and
NS4D170-06 (female), Colder Products Company, USA) allowed the chiller and
circuit to be operated without the pad connected (fig. 2a), and so the circuit could
be pre-cooled while the pad was being used for sample preparation. Once the
circuit was at the desired temperature and the sample was ready for scanning, the
pad was connected to the circuit (fig. 2b). The system was filled with
deionised water, doped with manganese chloride at 5mM concentration in order to
suppress MR signal. The system was first tested
using a tissue mimicking phantom made from 500g of ground pork, shaped into a
cylinder, with one temperature probe placed on the surface and the other in the
centre. This allowed monitoring of heating effects both from RF absorption
(heat generated inside the phantom) and convective and radiative heating from
the surroundings (gradient and RF coils). The chiller set point was 4°C. The
setup was subsequently deployed during two in situ, post mortem
infant brain MRI scans, which included 3 hours of calibration and structural
acquisitions followed by a 7 hour spin-echo diffusion protocol. In the first
infant scan, this was preceded by additional sequence testing over one hour.
The temperature probes were placed on the forehead and in the axilla, and the
infant then wrapped in a layer of gauze, followed by the cooling pad, and an
outer layer of cotton to prevent excessive condensation from forming on the
outside of the pad. The chiller was set to 6°C for the first scan, and 8°C for
the second. Results
Even though the tissue mimicking
phantom had nearly warmed up to room temperature during preparation, its
surface and internal temperature dropped to within a degree of the chiller
setpoint within 2 to 3 hours (surface and centre, respectively). Temperatures
were then stable to within ±0.4°C during the remaining structural and
quantitative parameter mapping protocols, and a 7 hour diffusion scan (fig. 3a).
In both post mortem infant scans, the sample
temperature dropped and stabilised during the first 3 hours of setup and
structural scanning, and then remained stable to within ±0.3°C throughout a 7
hour diffusion scan (fig. 3b/c). Example T2-, and diffusion
weighted images are shown in fig. 4.Conclusion
The system provided reliable
temperature control, even during prolonged scanning sessions, and adequate
refrigeration for tissue
preservation. It is therefore recommended that such a system of temperature
control is used for post mortem
scanning, in particular where temperature changes would interfere with the
imaging process and in unfixed samples which are vulnerable to decomposition.Acknowledgements
The research leading to these results has
received funding from the European Research Council under the European Union
Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement no. 319456. We
are grateful to the families who generously supported this trial. The Wellcome
Centre for Integrative Neuroimaging is supported by core funding from the
Wellcome Trust (203139/Z/16/Z). WW is supported by the Royal Academy of
Engineering (RF\201819\18\92). KM is supported by the Wellcome Trust
(WT202788/Z/16/A).References
No reference found.