1Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York, NY, United States, 2Radiology, Bernard and Irene Schwartz Center for Biomedical Imaging, New York, NY, United States
In a patient exam, SAR may cause temperature increase
potentially leading to tissue damage or thermoregulatory distress.
Hence, development of fast and accurate
temperature
computation methods could be useful for safety assurance.
We propose a method
considering
more factors than ever before (including SAR, respiration,
perspiration, convection, conduction, and local perfusion rates),
where the temperature over an entire MRI exam is rapidly estimated exploiting the linearity of the bioheat equation.
Nonlinear effects due to thermoregulatory mechanisms of the human body, such as the variation
of local blood perfusion rate, are approximated with a fast spatial filter.
