Motion compensation with skin contact control for high intensity focused ultrasound surgery in moving organs

High intensity focused ultrasound (HIFU) is an emerging therapeutic solution that enables non-invasive treatment of several pathologies, mainly in oncology. On the other hand, accurate targeting of moving abdominal organs (e.g. liver, kidney, pancreas) is still an open challenge. This paper proposes a novel method to compensate the physiological respiratory motion of organs during HIFU procedures, by exploiting a robotic platform for ultrasound-guided HIFU surgery provided with a therapeutic annular phased array transducer. The proposed method enables us to keep the same contact point between the transducer and the patient's skin during the whole procedure, thus minimizing the modification of the acoustic window during the breathing phases. The motion of the target point is compensated through the rotation of the transducer around a virtual pivot point, while the focal depth is continuously adjusted thanks to the axial electronically steering capabilities of the HIFU transducer. The feasibility of the angular motion compensation strategy has been demonstrated in a simulated respiratory-induced organ motion environment. Based on the experimental results, the proposed method appears to be significantly accurate (i.e. the maximum compensation error is always under 1 mm), thus paving the way for the potential use of this technique for in vivo treatment of moving organs, and therefore enabling a wide use of HIFU in clinics.

[1]  Natalia Vykhodtseva,et al.  Acoustic neuromodulation from a basic science prospective , 2016, Journal of therapeutic ultrasound.

[2]  Olivier Couture,et al.  Review of ultrasound mediated drug delivery for cancer treatment: updates from pre-clinical studies , 2014 .

[3]  L A Crum,et al.  Real-time visualization of high-intensity focused ultrasound treatment using ultrasound imaging. , 2001, Ultrasound in medicine & biology.

[4]  R. Salomir,et al.  Management of Respiratory Motion in Extracorporeal High-Intensity Focused Ultrasound Treatment in Upper Abdominal Organs: Current Status and Perspectives , 2013, CardioVascular and Interventional Radiology.

[5]  Eleanor Stride,et al.  Magnetic targeting and ultrasound mediated drug delivery: Benefits, limitations and combination , 2012, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[6]  Mamoru Mitsuishi,et al.  An extremely robust US based focal lesion servo system incorporating a servo recovery algorithm for a NIUTS , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[7]  Jiri Matas,et al.  P-N learning: Bootstrapping binary classifiers by structural constraints , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[8]  Juan M. Santos,et al.  Respiration based steering for high intensity focused ultrasound liver ablation , 2014, Magnetic resonance in medicine.

[9]  O Somphone,et al.  The 2014 liver ultrasound tracking benchmark , 2015, Physics in medicine and biology.

[10]  Lorena Petrusca,et al.  Ultrasonography-based 2D motion-compensated HIFU sonication integrated with reference-free MR temperature monitoring: a feasibility study ex vivo , 2012, Physics in medicine and biology.

[11]  Tobias Ortmaier,et al.  Automatic Guidance of a Surgical Instrument with Ultrasound Based Visual Servoing , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[12]  Ming-Chih Chou,et al.  Clinical Application of High-intensity Focused Ultrasound in Cancer Therapy , 2016, Journal of Cancer.

[13]  C. Hurt,et al.  Respiratory movement of upper abdominal organs and its effect on radiotherapy planning in pancreatic cancer. , 2009, Clinical oncology (Royal College of Radiologists (Great Britain)).

[14]  C. Thng,et al.  Hepatic metastases: in vivo assessment of perfusion parameters at dynamic contrast-enhanced MR imaging with dual-input two-compartment tracer kinetics model. , 2008, Radiology.

[15]  Jean-François Aubry,et al.  Image-guided focused ultrasound: state of the technology and the challenges that lie ahead , 2013 .

[16]  Russell H. Taylor,et al.  Force-assisted ultrasound imaging system through dual force sensing and admittance robot control , 2017, International Journal of Computer Assisted Radiology and Surgery.

[17]  G. Kuduvalli,et al.  A fast, accurate, and automatic 2D-3D image registration for image-guided cranial radiosurgery. , 2008, Medical physics.

[18]  M. Tanter,et al.  MR-Guided Transcranial Focused Ultrasound. , 2016, Advances in experimental medicine and biology.

[19]  Vera A. Khokhlova,et al.  Ultrasound-guided tissue fractionation by high intensity focused ultrasound in an in vivo porcine liver model , 2014, Proceedings of the National Academy of Sciences.

[20]  Bjorn Stemkens,et al.  Image-driven, model-based 3D abdominal motion estimation for MR-guided radiotherapy , 2016, Physics in medicine and biology.

[21]  J Brian Fowlkes,et al.  Pulsed cavitational ultrasound: a noninvasive technology for controlled tissue ablation (histotripsy) in the rabbit kidney. , 2006, The Journal of urology.

[22]  Rares Salomir,et al.  Automatic temperature control for MR‐guided interstitial ultrasound ablation in liver using a percutaneous applicator: Ex vivo and in vivo initial studies , 2010, Magnetic resonance in medicine.

[23]  Varun Chandola,et al.  A Gaussian Process Based Online Change Detection Algorithm for Monitoring Periodic Time Series , 2011, SDM.

[24]  A. Belldegrun,et al.  Ultrasound-based combination therapy: potential in urologic cancer , 2011, Expert review of anticancer therapy.

[25]  Peter Kazanzides,et al.  Cooperative Control with Ultrasound Guidance for Radiation Therapy , 2016, Front. Robot. AI.

[26]  Jianwen Luo,et al.  Robotized High Intensity Focused Ultrasound (HIFU) system for treatment of mobile organs using motion tracking by ultrasound imaging: An in vitro study , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[27]  N. Sanghvi,et al.  Automated HIFU treatment planning and execution based on 3D modeling of the prostate, urethra, and rectal wall , 2004, IEEE Ultrasonics Symposium, 2004.

[28]  Mamoru Mitsuishi,et al.  Ultrasound image based visual servoing for moving target ablation by high intensity focused ultrasound , 2016, The international journal of medical robotics + computer assisted surgery : MRCAS.

[29]  G. Ehnholm,et al.  Volumetric HIFU ablation under 3D guidance of rapid MRI thermometry. , 2009, Medical physics.

[30]  Rémi Souchon,et al.  The feasibility of tissue ablation using high intensity electronically focused ultrasound , 1993 .

[31]  Gregory Maclair,et al.  MR-Guided Thermotherapy of Abdominal Organs Using a Robust PCA-Based Motion Descriptor , 2011, IEEE Transactions on Medical Imaging.

[32]  H. Rammensee,et al.  More Than Just Tumor Destruction: Immunomodulation by Thermal Ablation of Cancer , 2011, Clinical & developmental immunology.

[33]  I. Suramo,et al.  Cranio-Caudal Movements of the Liver, Pancreas and Kidneys in Respiration , 1984, Acta radiologica: diagnosis.

[34]  Arianna Menciassi,et al.  Robotic Platform for High-Intensity Focused Ultrasound Surgery Under Ultrasound Tracking: The FUTURA Platform , 2017, J. Medical Robotics Res..

[35]  Martin J Murphy,et al.  Tracking moving organs in real time. , 2004, Seminars in radiation oncology.

[36]  A. Venkatesan,et al.  High-Intensity Focused Ultrasound: Current Status for Image-Guided Therapy , 2015, Seminars in Interventional Radiology.

[37]  S Roberts,et al.  Gaussian processes for time-series modelling , 2013, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[38]  Amine Bermak,et al.  Gaussian process for nonstationary time series prediction , 2004, Comput. Stat. Data Anal..

[39]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[40]  Zdenek Kalal,et al.  Tracking-Learning-Detection , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[41]  Jin Hee Jang,et al.  High-intensity focused ultrasound ablation in hepatic and pancreatic cancer: complications , 2011, Abdominal Imaging.

[42]  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.

[43]  Peter Kazanzides,et al.  A cooperatively controlled robot for ultrasound monitoring of radiation therapy , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[44]  Mamoru Mitsuishi,et al.  A novel robust template matching method to track and follow body targets for NIUTS , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[45]  Carl E. Rasmussen,et al.  In Advances in Neural Information Processing Systems , 2011 .

[46]  H. Park,et al.  Implications of increased tumor blood flow and oxygenation caused by mild temperature hyperthermia in tumor treatment , 2005, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[47]  Peter Kazanzides,et al.  Toward Standardized Acoustic Radiation Force (ARF)-Based Ultrasound Elasticity Measurements With Robotic Force Control , 2016, IEEE Transactions on Biomedical Engineering.

[48]  Achim Schweikard,et al.  Respiration tracking in radiosurgery. , 2004, Medical physics.