Purpose: Develop and evaluate the effectiveness of a T1-based correction method for errors in proton resonant frequency shift thermometry due to non-local field effects caused by heating in fatty breast tissues.
Methods: Computational models of human breast tissue were created by segmenting MRI data from a healthy human volunteer. MR-guided focused ultrasound (MRgFUS) heating and MR thermometry measurements were simulated in several locations in the heterogeneous segmented breast models. A T1-based correction method for PRF thermometry errors was applied and the maximum positive and negative errors and the root mean squared error (RMSE) in a region around each heating location was evaluated with and without correction. The method uses T1 measurements to estimate the temperature change in fatty tissues and correct for their influence. Experimental data from a heating study in cadaver breast tissue were analyzed, and the expected PRFS error computed.
Results: The simulated MR thermometry had maximum single voxel errors ranging between 10% and 18% when no correction was applied. Applying the correction led to a considerable improvement, lowering the maximum error range to 2%-5%. The 5th to 95th percentile interval of the temperature error distribution was also lowered with correction, from approximately 3.5 to 1°C. This correction worked even when T1 times were uniformly raised or lowered by 5%-10%. The experimental data showed predicted errors of 15%.
Conclusions: This simulation study demonstrates that the T1-based correction method reduces MR thermometry errors due to non-local effects from heating in fatty tissues, potentially improving the accuracy of thermometry measurements during MRgFUS treatments. The presented correction method is reliant on having a patient-specific 3D model of the breast, and may be limited by the accuracy of the fat temperatures which in turn may be limited by noise or bias present in the T1 measurements.
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http://dx.doi.org/10.1002/mp.15085 | DOI Listing |
J Integr Neurosci
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Department of Child Health, Qingdao Huangdao District Central Hospital, 266555 Qingdao, Shandong, China.
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Division of Foot and Ankle, Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, NC, USA.
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Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India.
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View Article and Find Full Text PDFPlants (Basel)
January 2025
Department of Pharmaceutical Chemistry, National University of Pharmacy, 61168 Kharkiv, Ukraine.
The search for neuroprotective compounds in lavender is driven by its traditional use for brain health, with antioxidant activity serving as a key mechanism in reducing oxidative stress and supporting cognitive function. Lavender's potential to protect neurons is based on its calming, anti-stress properties, which increase the brain's resistance to neurodegeneration. Although lavender is not a traditional medicinal plant in Ukraine, it is increasingly recognised for its medicinal properties and is widely cultivated in the country.
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