Real‐time 3D target tracking in MRI guided focused ultrasound ablations in moving tissues

Magnetic resonance imaging‐guided high intensity focused ultrasound is a promising method for the noninvasive ablation of pathological tissue in abdominal organs such as liver and kidney. Due to the high perfusion rates of these organs, sustained sonications are required to achieve a sufficiently high temperature elevation to induce necrosis. However, the constant displacement of the target due to the respiratory cycle render continuous ablations challenging, since dynamic repositioning of the focal point is required. This study demonstrates subsecond 3D high intensity focused ultrasound‐beam steering under magnetic resonance‐guidance for the real‐time compensation of respiratory motion. The target is observed in 3D space by coupling rapid 2D magnetic resonance‐imaging with prospective slice tracking based on pencil‐beam navigator echoes. The magnetic resonance‐data is processed in real‐time by a computationally efficient reconstruction pipeline, which provides the position, the temperature and the thermal dose on‐the‐fly, and which feeds corrections into the high intensity focused ultrasound‐ablator. The effect of the residual update latency is reduced by using a 3D Kalman‐predictor for trajectory anticipation. The suggested method is characterized with phantom experiments and verified in vivo on porcine kidney. The results show that for update frequencies of more than 10 Hz and latencies of less then 114 msec, temperature elevations can be achieved, which are comparable to static experiments. Magn Reson Med, 2010. © 2010 Wiley‐Liss, Inc.

[1]  M. McConnell,et al.  Prospective adaptive navigator correction for breath‐hold MR coronary angiography , 1997, Magnetic resonance in medicine.

[2]  Stephen A. Dyer,et al.  Digital signal processing , 2018, 8th International Multitopic Conference, 2004. Proceedings of INMIC 2004..

[3]  P Börnert,et al.  On the performance and accuracy of 2D navigator pulses. , 1999, Magnetic resonance imaging.

[4]  Bruno Quesson,et al.  Three‐dimensional spatial and temporal temperature control with MR thermometry‐guided focused ultrasound (MRgHIFU) , 2009, Magnetic resonance in medicine.

[5]  W. Dewey,et al.  Thermal dose determination in cancer therapy. , 1984, International journal of radiation oncology, biology, physics.

[6]  J A de Zwart,et al.  On‐line correction and visualization of motion during MRI‐controlled hyperthermia , 2001, Magnetic resonance in medicine.

[7]  F A Jolesz,et al.  A clinical, noninvasive, MR imaging-monitored ultrasound surgery method. , 1996, Radiographics : a review publication of the Radiological Society of North America, Inc.

[8]  J. Pearlman,et al.  Rapid NMR cardiography with a half-echo M-mode method. , 1991, Journal of computer assisted tomography.

[9]  Ferenc A. Jolesz,et al.  MR‐Guided Focused Ultrasound Surgery , 1992, Journal of computer assisted tomography.

[10]  Douglas C. Schmidt,et al.  The design of the TAO real-time object request broker , 1998, Comput. Commun..

[11]  F. Ernst,et al.  Prediction of respiratory motion with a multi-frequency based Extended Kalman Filter , 2007 .

[12]  Baudouin Denis de Senneville,et al.  Real‐time adaptive methods for treatment of mobile organs by MRI‐controlled high‐intensity focused ultrasound , 2007, Magnetic resonance in medicine.

[13]  C. Moonen,et al.  Real‐time MR‐thermometry and dosimetry for interventional guidance on abdominal organs , 2010, Magnetic resonance in medicine.

[14]  John M Pauly,et al.  Referenceless PRF shift thermometry , 2004, Magnetic resonance in medicine.

[15]  Karl J. Friston,et al.  Spatial registration and normalization of images , 1995 .

[16]  W. Gedroyc,et al.  Magnetic resonance guided focused ultrasound surgery of uterine fibroids--the tissue effects of GnRH agonist pre-treatment. , 2006, European journal of radiology.

[17]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[18]  Kim Butts Pauly,et al.  MR thermometry , 2008, Journal of magnetic resonance imaging : JMRI.

[19]  Peter Norvig,et al.  Artificial intelligence - a modern approach, 2nd Edition , 2003, Prentice Hall series in artificial intelligence.

[20]  G. Maclair,et al.  Optimization of volumetric MR-guided high-intensity focused ulatrsound ablations in moving organs , 2008 .

[21]  Bruno Quesson,et al.  Magnetic resonance temperature imaging for guidance of thermotherapy , 2000, Journal of magnetic resonance imaging : JMRI.

[22]  John M Pauly,et al.  Triggered, navigated, multi‐baseline method for proton resonance frequency temperature mapping with respiratory motion , 2003, Magnetic resonance in medicine.

[23]  Alexander Schlaefer,et al.  Prediction of Respiratory Motion with Wavelet-Based Multiscale Autoregression , 2007, MICCAI.

[24]  Bruno Quesson,et al.  Stability of real‐time MR temperature mapping in healthy and diseased human liver , 2004, Journal of magnetic resonance imaging : JMRI.

[25]  G. Maclair,et al.  Adaptive volumetric MR-guided high-intensity focused ultrasound ablations for moving organs , 2010 .