Name
Title | ||
|---|---|---|
Extended Kalman filtering for MR-thermometry guided high intensity focused ultrasound using the bio heat transfer equation |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICIP.2011.6116094 | Image Processing |
Keywords | Field | DocType |
Kalman filters,biological tissues,biomedical MRI,biomedical equipment,biomedical ultrasonics,heat transfer,medical image processing,nonlinear filters,temperature measurement,thermometers,tumours,ultrasonic imaging,FIR filter,MR-guided HIFU ablation experiments,MR-thermometry guided high intensity focused ultrasound ablations,bio heat transfer equation,digital filter,ex-vivo porcine muscle,extended Kalman filtering,magnetic resonance imaging,online temperature measurements,real time magnetic resonance thermometry,signal to noise ratio,temperature predictive model,temporal filtering,therapy end-point,tumorous tissue,Biomedical signal processing,Kalman filters,Magnetic resonance imaging,Real time systems | High-intensity focused ultrasound,Computer vision,Digital filter,Computer science,Signal-to-noise ratio,Filter (signal processing),Kalman filter,Artificial intelligence,Accuracy and precision,Finite impulse response,Temperature measurement | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4577-1302-6 | 978-1-4577-1302-6 | 1 |
PageRank | References | Authors |
0.78 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sébastien Roujol | 1 | 16 | 3.45 |
| Baudouin Denis de Senneville | 2 | 22 | 8.12 |
| Silke Hey | 3 | 7 | 1.72 |
| Chrit T. W. Moonen | 4 | 47 | 12.20 |
| Mario Ries | 5 | 55 | 11.04 |