Integrated thermal and magnetic susceptibility modeling for air-motion artifact correction in proton resonance frequency shift thermometry
Purpose Hyperthermia treatments are successful adjuvants to conventional cancer therapies in which the tumor is sensitized by heating. To monitor and guide the hyperthermia treatment, measuring the tumor and healthy tissue temperature is important. The typical clinical practice heavily relies on int...
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Taylor & Francis Group
2022-12-01
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| Series: | International Journal of Hyperthermia |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/02656736.2022.2094475 |
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| author | S. A. N. Nouwens M. M. Paulides J. Fölker I. VilasBoas-Ribeiro B. de Jager W. P. M. H. Heemels |
| author_facet | S. A. N. Nouwens M. M. Paulides J. Fölker I. VilasBoas-Ribeiro B. de Jager W. P. M. H. Heemels |
| author_sort | S. A. N. Nouwens |
| collection | DOAJ |
| description | Purpose Hyperthermia treatments are successful adjuvants to conventional cancer therapies in which the tumor is sensitized by heating. To monitor and guide the hyperthermia treatment, measuring the tumor and healthy tissue temperature is important. The typical clinical practice heavily relies on intraluminal probe measurements that are uncomfortable for the patient and only provide spatially sparse temperature information. A solution may be offered through recent advances in magnetic resonance thermometry, which allows for three-dimensional internal temperature measurements. However, these measurements are not widely used in the pelvic region due to a low signal-to-noise ratio and presence of image artifacts.Methods To advance the clinical integration of magnetic resonance-guided cancer treatments, we consider the problem of removing air-motion-induced image artifacts. Thereto, we propose a new combined thermal and magnetic susceptibility model-based temperature estimation scheme that uses temperature estimates to improve the removal of air-motion-induced image artifacts. The method is experimentally validated using a dedicated phantom that enables the controlled injection of air-motion artifacts and with in vivo thermometry from a clinical hyperthermia treatment.Results We showed, using probe measurements in a heated phantom, that our method reduced the mean absolute error (MAE) by 58% compared to the state-of-the-art near a moving air volume. Moreover, with in vivo thermometry our method obtained a MAE reduction between 17% and 95% compared to the state-of-the-art.Conclusion We expect that the combined thermal and magnetic susceptibility modeling used in model-based temperature estimation can significantly improve the monitoring in hyperthermia treatments and enable feedback strategies to further improve MR-guided hyperthermia cancer treatments. |
| format | Article |
| id | doaj-art-ed5df5014ff847e2aeeeeab7dfa70bf8 |
| institution | Kabale University |
| issn | 0265-6736 1464-5157 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Hyperthermia |
| spelling | doaj-art-ed5df5014ff847e2aeeeeab7dfa70bf82025-08-20T03:28:14ZengTaylor & Francis GroupInternational Journal of Hyperthermia0265-67361464-51572022-12-0139196797610.1080/02656736.2022.2094475Integrated thermal and magnetic susceptibility modeling for air-motion artifact correction in proton resonance frequency shift thermometryS. A. N. Nouwens0M. M. Paulides1J. Fölker2I. VilasBoas-Ribeiro3B. de Jager4W. P. M. H. Heemels5Control Systems Technology Group, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The NetherlandsDepartment of Radiotherapy, Erasmus University Medical Center Cancer Institute, Rotterdam, The NetherlandsControl Systems Technology Group, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The NetherlandsDepartment of Radiotherapy, Erasmus University Medical Center Cancer Institute, Rotterdam, The NetherlandsControl Systems Technology Group, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The NetherlandsControl Systems Technology Group, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The NetherlandsPurpose Hyperthermia treatments are successful adjuvants to conventional cancer therapies in which the tumor is sensitized by heating. To monitor and guide the hyperthermia treatment, measuring the tumor and healthy tissue temperature is important. The typical clinical practice heavily relies on intraluminal probe measurements that are uncomfortable for the patient and only provide spatially sparse temperature information. A solution may be offered through recent advances in magnetic resonance thermometry, which allows for three-dimensional internal temperature measurements. However, these measurements are not widely used in the pelvic region due to a low signal-to-noise ratio and presence of image artifacts.Methods To advance the clinical integration of magnetic resonance-guided cancer treatments, we consider the problem of removing air-motion-induced image artifacts. Thereto, we propose a new combined thermal and magnetic susceptibility model-based temperature estimation scheme that uses temperature estimates to improve the removal of air-motion-induced image artifacts. The method is experimentally validated using a dedicated phantom that enables the controlled injection of air-motion artifacts and with in vivo thermometry from a clinical hyperthermia treatment.Results We showed, using probe measurements in a heated phantom, that our method reduced the mean absolute error (MAE) by 58% compared to the state-of-the-art near a moving air volume. Moreover, with in vivo thermometry our method obtained a MAE reduction between 17% and 95% compared to the state-of-the-art.Conclusion We expect that the combined thermal and magnetic susceptibility modeling used in model-based temperature estimation can significantly improve the monitoring in hyperthermia treatments and enable feedback strategies to further improve MR-guided hyperthermia cancer treatments.https://www.tandfonline.com/doi/10.1080/02656736.2022.2094475Noninvasive thermometryartifact correctionair motionmodellingtemperature estimation |
| spellingShingle | S. A. N. Nouwens M. M. Paulides J. Fölker I. VilasBoas-Ribeiro B. de Jager W. P. M. H. Heemels Integrated thermal and magnetic susceptibility modeling for air-motion artifact correction in proton resonance frequency shift thermometry International Journal of Hyperthermia Noninvasive thermometry artifact correction air motion modelling temperature estimation |
| title | Integrated thermal and magnetic susceptibility modeling for air-motion artifact correction in proton resonance frequency shift thermometry |
| title_full | Integrated thermal and magnetic susceptibility modeling for air-motion artifact correction in proton resonance frequency shift thermometry |
| title_fullStr | Integrated thermal and magnetic susceptibility modeling for air-motion artifact correction in proton resonance frequency shift thermometry |
| title_full_unstemmed | Integrated thermal and magnetic susceptibility modeling for air-motion artifact correction in proton resonance frequency shift thermometry |
| title_short | Integrated thermal and magnetic susceptibility modeling for air-motion artifact correction in proton resonance frequency shift thermometry |
| title_sort | integrated thermal and magnetic susceptibility modeling for air motion artifact correction in proton resonance frequency shift thermometry |
| topic | Noninvasive thermometry artifact correction air motion modelling temperature estimation |
| url | https://www.tandfonline.com/doi/10.1080/02656736.2022.2094475 |
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