Abstract
Fast and reliable monitoring of volumetric heat distribution during MRI-guided tumor ablation is an urgent clinical need. In this work, we introduce a method for generating 2.5D thermometry maps from uniformly distributed 2D MRI phase images rotated around the applicator’s main axis. The images canbe fetched directly from the MR device, reducing the delay between image acquisition and visualization. For reconstruction, we use a weighted interpolation on a cylindric coordinate representation to calculate the heat value of voxels in a region of interest. A pilot study on 13 ex vivo bio protein phantoms with flexible tubes to simulate a heat sink effect was conducted to evaluate our method. After thermal ablation, we compared the measured coagulation zone extracted from the post-treatment MR data set with the output of the 2.5D thermometry map. The results show a mean Dice score of \(0.75\pm 0.07\), a sensitivity of \(0.77\pm 0.03\), and a reconstruction time within 18.02 ms ± 5.91 ms. Future steps should address improving temporal resolution and accuracy, e.g., incorporating advanced bioheat transfer simulations.
The work of this paper is funded by the Federal Ministry of Education and Research within the Forschungscampus STIMULATE under grant numbers ‘13GW0473A’ and ‘13GW0473B’. This work was also supported by PRACTIS - Clinician Scientist Program, funded by the German Research Foundation (DFG, ME 3696/3- 1).
J. Alpers and D. Reimert—Joint first authorship
B. Hensen and C. Hansen—Joint senior authorship.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ahmed, M., et al.: Image-guided tumor ablation: standardization of terminology and reporting criteria–a 10-year update. Radiology 273(1), 241–260 (2014)
Bu-Lin, Z., Bing, H., Sheng-Li, K., Huang, Y., Rong, W., Jia, L.: A polyacrylamide gel phantom for radiofrequency ablation. Int. J. Hyperth. 24(7), 568–576 (2008)
Fielden, S.W., et al.: A spiral-based volumetric acquisition for MR temperature imaging. Magn. Reson. Med. 79(6), 3122–3127 (2018)
Golkar, E., Rao, P.P., Joskowicz, L., Gangi, A., Essert, C.: Fast GPU computation of 3D isothermal volumes in the vicinity of major blood vessels for multiprobe cryoablation simulation. In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-López, C., Fichtinger, G. (eds.) MICCAI 2018. LNCS, vol. 11073, pp. 230–237. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-00937-3_27
Gorny, K.R., et al.: Practical implementation of robust MR-thermometry during clinical MR-guided microwave ablations in the liver at 1.5 T. Physica Medica 67, 91–99 (2019)
Jiang, R., et al.: Real-time volumetric MR thermometry using 3D echo-shifted sequence under an open source reconstruction platform. Magn. Reson. Imaging 70, 22–28 (2020)
Kägebein, U., Speck, O., Wacker, F., Hensen, B.: Motion correction in proton resonance frequency-based thermometry in the liver. Top. Magn. Reson. Imaging 27(1), 53–61 (2018)
Laimer, G., et al.: Minimal ablative margin (mam) assessment with image fusion: an independent predictor for local tumor progression in hepatocellular carcinoma after stereotactic radiofrequency ablation. Eur. Radiol. 30(5), 2463–2472 (2020)
Marx, M., Ghanouni, P., Butts Pauly, K.: Specialized volumetric thermometry for improved guidance of MR g FUS in brain. Magn. Reson. Med. 78(2), 508–517 (2017)
Marx, M., Plata, J., Pauly, K.B.: Toward volumetric MR thermometry with the MASTER sequence. IEEE Trans. Med. Imaging 34(1), 148–155 (2014)
Mauri, G., et al.: Technical success, technique efficacy and complications of minimally-invasive imaging-guided percutaneous ablation procedures of breast cancer: a systematic review and meta-analysis. Eur. Radiol. 27(8), 3199–3210 (2017)
Odéen, H., Almquist, S., de Bever, J., Christensen, D.A., Parker, D.L.: MR thermometry for focused ultrasound monitoring utilizing model predictive filtering and ultrasound beam modeling. J. Ther. Ultrasound 4(1), 1–13 (2016)
Quah, K., Poorman, M.E., Allen, S.P., Grissom, W.A.: Simultaneous multislice MRI thermometry with a single coil using incoherent blipped-controlled aliasing. Magn. Reson. Med. 83(2), 479–491 (2020)
Rieke, V., Butts Pauly, K.: MR thermometry. J. Magn. Reson. Imaging Official J. Int. Soc. Magn. Resonance Med. 27(2), 376–390 (2008)
Ritter, F., et al.: Medical image analysis. IEEE Pulse 2(6), 60–70 (2011)
de Senneville, B.D., Mougenot, C., Quesson, B., Dragonu, I., Grenier, N., Moonen, C.T.W.: MR thermometry for monitoring tumor ablation. Eur. Radiol. 17(9), 2401–2410 (2007)
Svedin, B.T., Payne, A., Bolster, B.D., Jr., Parker, D.L.: Multiecho pseudo-golden angle stack of stars thermometry with high spatial and temporal resolution using k-space weighted image contrast. Magn. Reson. Med. 79(3), 1407–1419 (2018)
Tehrani, M.H., Soltani, M., Kashkooli, F.M., Raahemifar, K.: Use of microwave ablation for thermal treatment of solid tumors with different shapes and sizes-a computational approach. Plos One 15(6), e0233219 (2020)
Tomasian, A., Gangi, A., Wallace, A.N., Jennings, J.W.: Percutaneous thermal ablation of spinal metastases: recent advances and review. Am. J. Roentgenol. 210(1), 142–152 (2018)
Zhang, L., Armstrong, T., Li, X., Wu, H.H.: A variable flip angle golden-angle-ordered 3d stack-of-radial MRI technique for simultaneous proton resonant frequency shift and t1-based thermometry. Magn. Reson. Med. 82(6), 2062–2076 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Alpers, J. et al. (2021). 2.5D Thermometry Maps for MRI-Guided Tumor Ablation. In: de Bruijne, M., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. MICCAI 2021. Lecture Notes in Computer Science(), vol 12904. Springer, Cham. https://doi.org/10.1007/978-3-030-87202-1_30
Download citation
DOI: https://doi.org/10.1007/978-3-030-87202-1_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-87201-4
Online ISBN: 978-3-030-87202-1
eBook Packages: Computer ScienceComputer Science (R0)
