Ultrasound Thermometry Using Echo Stretching for Microwave Hyperthermia
IEEE Transactions on Bio-Medical Engineering
|May 5, 2026
Summary
This study introduces an echo-stretching ultrasound method to measure temperature during hyperthermia therapy. This technique accurately estimates temperature rise, aiding in microwave hyperthermia treatment monitoring.
Area of Science:
- Medical Physics
- Biomedical Engineering
- Ultrasound Imaging
Background:
- Hyperthermia therapy requires precise temperature monitoring.
- Conventional methods for temperature estimation have limitations, including the need for low-pass filtering and gradient computation.
Purpose of the Study:
- To develop and evaluate an echo-stretching-based ultrasound technique for estimating temperature rise during hyperthermia.
- To eliminate the need for conventional filtering and gradient computation in temperature estimation.
Main Methods:
- Utilized multiphysics simulations to evaluate the algorithm for thermal gradients from 0-0.1 °C and 0-6 °C.
- Employed adaptive up-sampling and median filtering to mitigate spikes in temperature estimates caused by inadequate RF data up-sampling.
- Validated the echo stretching algorithm using tissue-mimicking phantoms and ex-vivo bovine tissues subjected to microwave hyperthermia.
Main Results:
- Achieved average temperature estimation error less than 5% for a 6 °C temperature gradient using a 10λ sliding window.
- Demonstrated the ability to resolve temperature gradients below 0.1 °C with a 40λ window length, albeit with reduced spatial resolution.
- Attained an axial resolution of 2.5 to 5 mm for a 6 °C hyperthermia temperature rise.
- Experimental verification showed estimation errors below 5% in phantoms and 20% in heterogeneous ex-vivo tissues.
Conclusions:
- The echo-stretching ultrasound technique provides a viable method for estimating temperature rise in hyperthermia treatments.
- This technique can be effectively used for monitoring microwave hyperthermia therapy.
- The method shows promise for improving the precision and efficiency of thermal monitoring in clinical applications.


