User Centric Device Registration for Streamlined Workflows in Surgical Navigation Systems

Alongside sweeping transformations in healthcare, a timeless drive to make surgical interventions less invasive and more effective has led to the integration of disparate technologies into surgical navigation systems. Fusions of device tracking and medical imaging modalities have been comprehensively investigated for opportunities to improve care. Such composite systems provide more and better information, enabling clinicians to operate less invasively and more effectively. Because of these merits, the preoperative ritual of harmonizing multiple information sources has been tacitly adopted.In this paper, we challenge the paradigm of preoperative registration. Proposed herein is a technique in which a clinician registers an interventional device to a navigation system simply by gesturing the device through a strategically designed fixture. In the background, the system continuously monitors the device path for this registration gesture. We demonstrate generality by applying the method to both robotic and electromagnetically tracked devices, and exhibit versatility by repeating the registration at multiple device base locations. Experiments indicate sub-millimeter accuracy versus conventional approaches on the same setup. Consequently, clinicians can register devices on the fly, increasing flexibility in setup and redefining workflow possibilities in surgery.

[1]  Russell H. Taylor,et al.  Iterative Most-Likely Point Registration (IMLP): A Robust Algorithm for Computing Optimal Shape Alignment , 2015, PloS one.

[2]  T. Miyazawa,et al.  History of the Flexible Bronchoscope , 2000 .

[3]  Jeffrey H. Siewerdsen,et al.  Initial investigation of an automatic registration algorithm for surgical navigation , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  D. Kahneman Thinking, Fast and Slow , 2011 .

[5]  Richard D. Bucholz,et al.  An accurate and ergonomic method of registration for image-guided neurosurgery , 1994 .

[6]  I. J. Schoenberg Contributions to the problem of approximation of equidistant data by analytic functions. Part A. On the problem of smoothing or graduation. A first class of analytic approximation formulae , 1946 .

[7]  H. Shirato,et al.  Four-dimensional treatment planning and fluoroscopic real-time tumor tracking radiotherapy for moving tumor. , 2000, International journal of radiation oncology, biology, physics.

[8]  Guang-Zhong Yang,et al.  Laparoscope Self-calibration for Robotic Assisted Minimally Invasive Surgery , 2005, MICCAI.

[9]  P. Hanrath,et al.  Endobronchial sonography: feasibility and preliminary results. , 1992, Thorax.

[10]  Peter Kazanzides,et al.  Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy , 2017, Science Robotics.

[11]  Jianwei Zhang,et al.  Accuracy analysis and calibration of a parallel guidance device for minimal invasive spinal surgery , 2013, 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[12]  Kenneth Levenberg A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES , 1944 .

[13]  Ève Coste-Manière,et al.  Flexible Calibration of Actuated Stereoscopic Endoscope for Overlay in Robot Assisted Surgery , 2002, MICCAI.

[14]  Mariana Medina-Sánchez,et al.  Medical microbots need better imaging and control , 2017, Nature.

[15]  Zhengyou Zhang,et al.  Iterative point matching for registration of free-form curves and surfaces , 1994, International Journal of Computer Vision.

[16]  Atul C Mehta,et al.  Historical perspectives of bronchoscopy. Connecting the dots. , 2015, Annals of the American Thoracic Society.

[17]  G. Rosman,et al.  Artificial Intelligence in Surgery: Promises and Perils , 2018, Annals of surgery.

[18]  Lorenzo Molinari Tosatti,et al.  Analysis and compensation of calibration errors in a multi-robot surgical platform , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[19]  W. B. Seales,et al.  Assessing Mental Workload During Laparoscopic Surgery , 2005, Surgical innovation.

[20]  A. Ernst,et al.  Real-time electromagnetic navigation bronchoscopy to peripheral lung lesions using overlaid CT images: the first human study. , 2006, Chest.

[21]  T. Haidegger,et al.  Accuracy improvement of a neurosurgical robot system , 2008, 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

[22]  Changle Li,et al.  Space calibration of the cranial and maxillofacial robotic system in surgery , 2016 .

[23]  M. V. van Herk,et al.  Physical aspects of a real-time tumor-tracking system for gated radiotherapy. , 2000, International journal of radiation oncology, biology, physics.

[24]  K Rumar,et al.  The basic driver error: late detection. , 1990, Ergonomics.

[25]  V. Seifert,et al.  Laser Surface Scanning for Patient Registration in Intracranial Image-guided Surgery , 2002, Neurosurgery.

[26]  Andriy Myronenko,et al.  Point Set Registration: Coherent Point Drift , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[27]  Islam S. M. Khalil,et al.  The Control of Self-Propelled Microjets Inside a Microchannel With Time-Varying Flow Rates , 2014, IEEE Transactions on Robotics.

[28]  Aleksandr V. Segal,et al.  Generalized-ICP , 2009, Robotics: Science and Systems.

[29]  Xiongbiao Luo A bronchoscopic navigation system using bronchoscope center calibration for accurate registration of electromagnetic tracker and CT volume without markers. , 2014, Medical physics.

[30]  Oliver G. Schmidt,et al.  Development of a Sperm‐Flagella Driven Micro‐Bio‐Robot , 2013, Advanced materials.

[31]  Yunhui Liu,et al.  Vision-Based Calibration of Dual RCM-Based Robot Arms in Human-Robot Collaborative Minimally Invasive Surgery , 2018, IEEE Robotics and Automation Letters.

[32]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[33]  Douglas P. Perrin,et al.  Image guided surgical interventions. , 2009, Current problems in surgery.

[34]  Russell H. Taylor,et al.  A telerobotic assistant for laparoscopic surgery , 1995 .

[35]  Alexander Schlaefer,et al.  Calibration of the motor-assisted robotic stereotaxy system: MARS , 2012, International Journal of Computer Assisted Radiology and Surgery.

[36]  Peng Gao,et al.  A practical calibration method for spinal surgery robot , 2017, 2017 18th International Conference on Advanced Robotics (ICAR).

[37]  Kenneth James Versprille Computer-aided design applications of the rational b-spline approximation form. , 1975 .

[38]  Hyunseok Choi,et al.  Effective calibration of an endoscope to an optical tracking system for medical augmented reality , 2017 .