De Landro Martina1, Céline Giraudeau2, Juan Verde2, Khalid Ambarki3, Sanzhar Korganbayev1, Henrik Odeen4, Benoît Gallix2, and Paola Saccomandi1
1Politecnico di Milano, Milan, Italy, 2IHU Strasbourg, Institute of image-guided surgery, Strasbourg, France, 3Siemens Healthcare SAS, Saint Denis, France, 4University of Utah, Salt Lake City, UT, United States
Synopsis
Keywords: Interventional Devices, MR-Guided Interventions
The use of
Magnetic Resonance Thermometry (MRT) has been proposed to intraoperatively
guide laser interstitial thermal therapy (LITT) thanks to its ability to
provide multidimensional temperature measurements. PRF-based MRT thermometry holds significant benefits, but
it is still limited by susceptibility artifacts that significantly affect the
accuracy of measured temperature maps. These artifacts lead to a negative
temperature distribution with a double-lobe shape around the
laser applicator. In this work, artifacts appearing in MRT images during LITT
and linked to magnetic field distortion related to susceptibility variations
are characterized in ex-vivo livers. We further propose an approach to avoid their appearance.
INTRODUCTION
Magnetic
Resonance Thermometry (MRT) has been proposed to intraoperatively guide laser
interstitial thermal therapy (LITT) thanks to its ability to provide
multidimensional temperature measurements (1,2). During MR-guided LITT, the
system software utilizes the measured temperature maps to estimate the thermal
damage giving an estimation of the damage boundaries in real-time (3). Despite
its potential, MRT is not yet established as the standard temperature
monitoring method during LITT. PRF-based thermometry holds significant benefits
(4), but some sources of errors, including susceptibility artifacts, affect the
accuracy of temperature maps (5) due to the artifacts appearing with a
double-lobe shape of temperature decrease (6, 7, 8) that we were indeed able to
reproduce during LITT in the liver of a living pig (data not shown). In this
work, artifacts appearing in MRT images during LITT and linked to magnetic
field distortion related to susceptibility variations are characterized in
non-homogeneous ex vivo livers. We then propose an alternative method to
avoid their appearance.METHODS
LITT was
performed using a laser diode (975 nm, LuOcean Mini 4, Lumics, Berlin, Germany)
delivering radiation to an MR-compatible fiber applicator (365 µm diameter,
THORLABS, Dachau, Germany). MRI was performed with a 1.5T clinical MRI scanner
(Siemens Magnetom Aera, Erlangen, Germany), spine coil and 4-channel flex
surface coil (Figure 1), and temperature images were obtained with an MRT 3D
segmented EPI prototype sequence. The data analysis was performed on Matlab
R2020a after drift correction with zero-order baseline correction selecting a
reference area in the target far from the ablation region and subtracting the
effect of the non-temperature-related field drift (6). Series of ultrasound
(US) images were acquired using a curvilinear transducer (Acuson S3000 + 6C1
transducer, Siemens Healthineers) to monitor tissue effects during LITT.
Tissue mimicking phantoms
The artifacts were characterized in ex vivo porcine liver for 0.5W and
2W power. Data were acquired with the MRT sequence in the axial and sagittal
orientation. Slices were placed parallel to the laser applicator and sensing
needles. The following parameters were used: field of view
300 mm x 300 mm, in-plane resolution 1.4 mm x 2.8 mm, reconstructed resolution
1.4 mm x 1.4 mm, slice thickness 3 mm, 10 slices, TE/TR=13 ms/24 ms, flip angle
10°, EPI factor 7, 5 baseline averages to reach equilibrium magnetization,
temporal resolution 3.62 s, 135 to 300 measurements leading to a total
acquisition time of ~8 to 20 minutes. Areas of temperature errors were defined
as zones of temperature decrease (<-2°C).
Temperature-based control LITT
Laser power was controlled via a custom-made program based on temperature
values measured by MR-compatible sensing needles embedding Fiber Bragg Grating
(FBG) array sensors. The laser power increased linearly and was then either maintained stable
for a specific time duration, or until a maximum MRTI temperature change of 50°C
was reached. MRTI
data were acquired in the sagittal orientation to have slices parallel to the
laser applicator and temperature sensing needles.RESULTS
Artifacts in
porcine liver
At 0.5W LITT heating the liver temperature maps do not show any artifacts. However,
at a higher power of 2W, artifacts appear (Figure 2). As found in (6), gas bubbles were
found to be formed in the tissue by reproducing the experiment with an
ultrasound imaging protocol (Figure 3). In the axial plane, the area increases in
the external slices during the ablation, whereas in the zone closest to the
laser tip (Slice 6-8) it drops. In the sagittal case, a double-lobe of negative
temperature shift is visible in the first steps of the ablation, then one
region is more affected by susceptibility error. The artifact shifts to the
right and starts decreasing after 3 minutes of ablation as in the axial case,
probably because of the motion of the bubble. A spatial symmetry is less
evident in this case.
Temperature-based control LITT
The
temperature-controlled approach guaranteed the absence of artifacts during the
liver interstitial ablation (Figure 4). The calculated temperature increase corresponds to absolute
temperature in the range of 53-66°C for the tissue considering the starting
temperature of 18°C in the ex vivo liver which causes thermal damage
after a few minutes of treatment.The thermal damage induced after the treatment with a
temperature-controlled strategy is visible in the MR images with a VIBE
sequence.
DISCUSSION & CONCLUSION
This
analysis confirmed the appearance of susceptibility artifacts during MR-guided
LITT. Our investigation in tissue-mimicking phantoms linked the artifact
appearance with gas bubble formation and with unwanted treatment effects which
produce magnetic susceptibility changes previously reported
in (6). Artifacts
may be avoided when a low power of 0.5W is set, but such low power does not
lead to tissue damage, which was confirmed with MRI images acquired after
ablation. An alternative strategy may consist of temperature-controlled LITT to
completely avoid any appearance of susceptibility artifacts. It allowed
avoidance of bubble formation and appreciable but small tissue damage in the
post-ablation MRI images. This is the first time that temperature-controlled
LITT based on accurate FBGs values is performed inside an MRI scanner. Further
investigations are needed to confirm these promising features.Acknowledgements
This project has received funding from
the European Research Council (ERC) under the European Union’s Horizon 2020
research and innovation program (Grant agreement No. 759159). The authors thank
Dr. Sunil Patil (Siemens Medical Solutions, USA Inc, USA) and Dr. John Roberts
(University of Utah, USA) for the development and optimization of the 3D EPI
prototype.References
1. Mohammadi AM,
Schroeder JL. Laser interstitial thermal therapy in treatment of brain tumors –
the NeuroBlate System. Expert
Rev. Med. Devices 2014;11:109–119 doi: 10.1586/17434440.2014.882225.
2. De Landro M,
Ianniello J, Yon M, et al. Fiber bragg
grating sensors for performance evaluation of fast magnetic resonance
thermometry on synthetic phantom. Sensors (Switzerland) 2020 doi:
10.3390/s20226468.
3. Carpentier A,
McNichols RJ, Stafford RJ, et al. Real-time magnetic resonance-guided laser
thermal therapy for focal metastatic brain
tumors. Neurosurgery 2008;63:ONS21-8; discussion
ONS28-9 doi: 10.1227/01.neu.0000335007.07381.df.
4. De Landro M,
Korganbayev S, Ambarki K, et al. Magnetic
resonance-based measurement system: comparison of 2D and 3D echo-planar imaging
sequences for thermometry application. In: 2021 IEEE International
Instrumentation and Measurement Technology Conference (I2MTC). ; 2021. pp. 1–6.
doi: 10.1109/I2MTC50364.2021.9460088.
5. Winter L, Oberacker E,
Paul K, et al. Magnetic resonance thermometry: Methodology, pitfalls and
practical solutions. Int. J. Hyperth. 2016 doi: 10.3109/02656736.2015.1108462.
6.
Viallon, M. et al. (2010) ‘Observation and correction of transient
cavitation-induced PRFS thermometry artifacts during radiofrequency ablation,
using simultaneous Ultrasound/MR imaging’, Medical Physics, 37(4), pp. 1491–1506.
doi: 10.1118/1.3309439.
7. M. D. Landro et
al., "Characterization of
Susceptibility Artifacts in MR-thermometry PRFS-based during Laser Interstitial
Thermal Therapy," 2022 IEEE
International Symposium on Medical Measurements and Applications (MeMeA),
2022, pp. 1-5, doi: 10.1109/MeMeA54994.2022.9856421.
8. M. De Landro et al., "Analysis of cavitation artifacts in Magnetic
Resonance Imaging Thermometry during laser ablation monitoring," 2022 44th Annual International
Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, pp. 5008-5011, doi:
10.1109/EMBC48229.2022.9871675.