TY - GEN
T1 - Extended Kalman filtering for MR-thermometry guided high intensity focused ultrasound using the bio heat transfer equation
AU - Roujol, S.
AU - De Senneville, B. Denis
AU - Hey, S.
AU - Moonen, C.
AU - Ries, M.
PY - 2011
Y1 - 2011
N2 - Real time magnetic resonance (MR) thermometry is gaining clinical importance for monitoring and guiding high intensity focused ultrasound (HIFU) ablations of tumorous tissue. The temperature information can be employed to adjust the position and the power of the HIFU system in real time and to determine the therapy end-point. However, the precision of real time MR-thermometry is generally limited by the available signal to noise ratio (SNR). In order to improve the efficiency of applications, which are based on online temperature measurements, temporal filtering can be employed. Here, we propose a novel digital filter combining extended Kalman filtering with a temperature predictive model based on the bio heat transfer equation. The proposed approach is evaluated on simulated datasets and on MR-guided HIFU ablation experiments on ex-vivo porcine muscle. The proposed filter showed a significantly improved precision and accuracy in comparison to an optimized FIR filter.
AB - Real time magnetic resonance (MR) thermometry is gaining clinical importance for monitoring and guiding high intensity focused ultrasound (HIFU) ablations of tumorous tissue. The temperature information can be employed to adjust the position and the power of the HIFU system in real time and to determine the therapy end-point. However, the precision of real time MR-thermometry is generally limited by the available signal to noise ratio (SNR). In order to improve the efficiency of applications, which are based on online temperature measurements, temporal filtering can be employed. Here, we propose a novel digital filter combining extended Kalman filtering with a temperature predictive model based on the bio heat transfer equation. The proposed approach is evaluated on simulated datasets and on MR-guided HIFU ablation experiments on ex-vivo porcine muscle. The proposed filter showed a significantly improved precision and accuracy in comparison to an optimized FIR filter.
KW - Biomedical signal processing
KW - Kalman filters
KW - Magnetic resonance imaging
KW - Real time systems
UR - https://www.scopus.com/pages/publications/84856281443
U2 - 10.1109/ICIP.2011.6116094
DO - 10.1109/ICIP.2011.6116094
M3 - Conference contribution
AN - SCOPUS:84856281443
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2281
EP - 2284
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -