Rationale and Objectives
Magnetic resonance imaging (MRI) temperature imaging systems need to be routinely calibrated to guarantee accurate temperature results and qualified MRI. No independent physical temperature calibration phantom (TCP) set is currently available. An economical TCP set was developed to routinely ensure the quality of MRI temperature imaging system.
Materials and Methods
The novel TCP was constructed using a heating unit, temperature sensor, and MRI phantom liquid. A specialized heating unit was developed using carbon fibers. The TCP set design was an integration of the TCP, temperature measurement unit, display unit, and control unit. The proposed MRI calibration kit, which is a combination of the TCP set and standard MRI phantom, was used in the MRI thermometry calibration and MRI quality calibration.
Results
The TCP set provided an efficient, accurate, and homogeneous temperature map as the reference standard temperature for calibration. Accuracy and heating efficiency of the TCP set were 1°C and 1°C/minute, respectively. Calibration of the MRI thermometry and MRI quality were implemented successfully.
Conclusion
The proposed TCP set is completely compatible with the MRI system and can be used to calibrate MRI thermometry and MRI quality to ensure the quality performance of the MRI temperature imaging system.
Thermal ablation of a tumor inside the body through minimal invasive or noninvasive procedure has attracted the interest of the tumor therapy community. During thermal ablation, the temperature distribution of the target organ has to be identified to control the deposited heat energy. Magnetic resonance imaging (MRI) is an appropriate thermal surgery guide and monitor because it is temperature-sensitive and noninvasive. Furthermore, MRI has the advantages of nonionizing radiation and good spatial and temporal resolutions in any scan orientation . Applicable MRI-guided thermal ablation surgery systems are already installed in hospitals. For example, the Exablate 2000 system (InSightec Ltd., Dallas, TX), an MRI-guided focused ultrasound surgery system, has been approved by the US Food and Drug Administration for fibroid ablation . Recently, relevant research for vertical-field MRI-guided focused ultrasound surgery system has been reported . Moreover, MRI-guided laser induced thermotherapy was reported by Ding et al , and MRI-monitored radiofrequency ablation for breast cancer was reviewed by Postma et al . Developing the MRI temperature imaging system is an attractive topic in the medical physics field.
Calibration of the MRI temperature imaging system is crucial for qualified application in clinics. Previously, Wu and Felmlee reported an MRI system–based quality control program to assess focused ultrasound beam positioning and power delivery accuracy, MRI quality, and system safety for MRI-guided focused ultrasound ablation system . They constructed a special phantom suitable for focused ultrasound power absorption and published a report that such phantom can be stable for months . However, relative errors measured from the MRI to calibrate the latter MRI temperature measurement results were used. The calibration was based on the calculation results from the system software, not the results from independent real physical temperature measurement. McDannold and Hynynen reported on the use of temperature maps acquired during heating into an ultrasound phantom to retrospectively evaluate the deviations in the performance of the system for quality assurance . This method also relied on the proper function of the system software. When the errors of the temperature results calculated from the system software were beyond the permitted scope, the reported two methods were no longer appropriate. Thus, MRI temperature results had to be calibrated based on independent physical measurement results. However, no independent calibration phantom set with physical temperature measurement as reference standard for routine calibration of MRI temperature imaging system is available.
Get Radiology Tree app to read full this article<
Materials and methods
Configuration of the Temperature Calibration Phantom Set
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Developing the Carbon Fiber Heating Unit
Get Radiology Tree app to read full this article<
Integration of the Temperature Calibration Phantom Set
Get Radiology Tree app to read full this article<
Experiments Using the Calibration Phantom Kit
Get Radiology Tree app to read full this article<
ΔT=ϕ(T)−ϕ(T0)γαB0TE, Δ
T
=
ϕ
(
T
)
−
ϕ
(
T
0
)
γ
α
B
0
T
E
,
where ϕ(T) ϕ
(
T
) is the testing image phase, ϕ(T0) ϕ
(
T
0
) is the reference image phase, γ is the gyromagnetic ratio, α is the proton resonance frequency shift coefficient ( α=−0.01 α
=
−
0.01 ppm/°C), B 0 is the main magnetic field strength, and TE is the echo time. The MR temperature measurement errors were obtained by comparing the real physical temperature result and the MRI temperature measurement result.
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Results
Get Radiology Tree app to read full this article<
![Figure 5, Magnetic resonance imaging quality calibration. (a) Signal-to-noise ratio (SNR) calibration image. Two temperature calibration phantoms (TCPs) and one standard homogeneous phantom were placed together. The average intensity of signals (Avg) is 639.5. The standard deviation (SD) of noise is 3.39. The SNR is calculated at SNR=AVG×2–√÷SD=639.5×2–√÷3.39=266.7 SNR=AVG×2÷SD=639.5×2÷3.39=266.7 . (b) Geometric distortion calibration image. Two TCPs and one standard homogeneous phantom were placed together. The actual length of the sides of the standard phantom is L a1 = L a2 = 150 mm. The actual diagonal is L a3 = L a4 = 212 mm. The measured lengths of the two sides are L m1 = 147.7 mm and L m2 = 148.8 mm. The measured lengths of the two diagonals are L m3 = 208.8 mm and L m4 = 211.3 mm. Geometric distortion = Max{ | Lmi−Lai | /Lai} Max{ | Lmi−Lai | /Lai} = 1.53% (i = 1, 2, 3, 4).](https://storage.googleapis.com/dl.dentistrykey.com/clinical/DevelopmentofaCalibrationPhantomSetforMRITemperatureImagingSystemQualityAssurance/4_1s20S1076633212000876.jpg) |
Get Radiology Tree app to read full this article<
Discussion and conclusion
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
References
1. Rieke V., Butts P.K.: MR thermometry. J Magn Reson Imaging 2008; 27: pp. 376-390.
2. Bradley W.G.: MR-guided focused ultrasound: a potentially disruptive technology. J Am Coll Radiol 2009; 6: pp. 510-513.
3. Xin X.G., Feng Y.Q., Han J.J., et. al.: Three-channel receive-only RF coil for vertical-field MR-guided focused ultrasound surgery. Concepts Magnet Reson Part B-Magnet Reson Engin 2010; 37B: pp. 237-244.
4. Ding X., Singh R., Burke A., et. al.: Development of iron-containing multiwalled carbon nanotubes for MR-guided laser-induced thermotherapy. Nanomedicine 2011; 6: pp. 1341-1352.
5. Postma E.L., van Hillegersberg R., Daniel B.L., et. al.: MRI-guided ablation of breast cancer: where do we stand today?. J Magn Reson Imaging 2011; 34: pp. 254-261.
6. Wu T., Felmlee J.P.: A quality control program for MR-guided focused ultrasound ablation therapy. J Appl Clin Med Phys 2002; 3: pp. 162-167.
7. Wu T., Kendell K.R., Felmlee J.P., et. al.: Reliability of water proton chemical shift temperature calibration for focused ultrasound ablation therapy. Med Phys 2000; 27: pp. 221-224.
8. McDannold N., Hynynen K.: Quality assurance and system stability of a clinical MRI-guided focused ultrasound system: four-year experience. Med Phys 2006; 33: pp. 4307-4313.
9. Jin J.M.: Electromagnetic analysis and design in magnetic resonance imaging.1998.CRCBoca Raton, FL 137–138
10. Weidensteiner C., Quesson B., Caire-Gana B., et. al.: Real-time MR temperature mapping of rabbit liver in vivo during thermal ablation. Magnet Reson Med 2003; 50: pp. 322-330.
11. Rieke V, Kinsey AM, Ross AB, et al. Referenceless MR thermometry for monitoring thermal ablation in the prostate. IEEE Trans Med Imaging 2007 (Compendex); 26:813–821.
12. Chung Y.C., Duerk J.L., Shankaranarayanan A., et. al.: Temperature measurement using echo-shifted FLASH at low field for interventional MRI. J Magn Reson Imaging 1999; 9: pp. 138-145.
13. Clasen S., Boss A., Schmidt D., et. al.: MR-guided radiofrequency ablation in a 0.2-T open MR system: technical success and technique effectiveness in 100 liver tumors. J Magn Reson Imaging 2007; 26: pp. 1043-1052.
14. Shankaranarayanan A., Duerk J.L., Lewin J.S.: Developing a multichannel temperature probe for interventional MRI. J Magn Reson Imaging 1998; 8: pp. 197-202.
15. Vogel M., Suprijanto F., Vos H., et. al.: Towards motion-robust magnetic resonance thermometry. Med Image Comp Computer-assisted Intervention 2001; 2208: pp. 401-408.
16. Ishihara Y., Calderon A., Watanabe H., et. al.: A precise and fast temperature mapping using water proton chemical shift. Magnet Reson Med 1995; 34: pp. 814-823.
17. Endo M., Yamanashi H., Doll G.L., et. al.: Preparation and electrical properties of bromine intercalated vapor-grown carbon fibers. J Appl Phys 1988; 64: pp. 2995-3004.
18. Kim T., Chung D.D.L.: Carbon fiber mats as resistive heating elements. Carbon 2003; 41: pp. 2436-2440.
19. Sekii Y., Hayashi T.: Measurements of reflectance and thermal emissivity of a black surface created by electrostatic flocking with carbon-fiber piles. IEEE Trans Dielectrics Elect Insulation 2009; 16: pp. 649-654.
20. NEMA: Determination of signal-to-noise ratio (SNR) in diagnostic magnetic resonance imaging. Document MS 12008.National Electrical Manufacturers AssociationRosslyn, VA
21. NEMA: Determination of two-dimensional geometric distortion in diagnostic magnetic resonance images. Document MS 22008.National Electrical Manufacturers AssociationRosslyn, VA