Angular needle tracker and stabilizer for image-guided interventions

INTRODUCTION Minimally invasive image-guided interventions have changed the face of procedural medicine. For these procedures, safety and efficacy depend on precise needle placement. Needle targeting devices help improve the accuracy of needle placement, but their use has not seen broad penetration. Some of these devices are costly and require major modifications to the clinical workflow. In this article, we developed a low-cost, disposable, and easy-to-use angulation tracking device, which was based on a redesigned commercial passive needle holder. MATERIAL AND METHODS The new design provided real-time angulation information for needle tracking. In this design, two potentiometers were used as angulation sensors, and they were connected to two axes of the passive needle holder's arch structure through a 3 D-printed bridge structure. A control unit included an Arduino Pro Mini, a Bluetooth module, and two rechargeable batteries. The angulation was calculated and communicated in real time to a novel developed smartphone app, where real-time angulation information was displayed for guiding the operator to position the needle to the planned angles. RESULTS The open-air test results showed that the average errors are 1.03° and 1.08° for left-right angulation and head-foot angulation, respectively. The animal cadaver tests revealed that the novel system had an average angular error of 3.2° and a radial distance error of 3.1 mm. CONCLUSIONS The accuracy was comparable with some commercially available solutions. The novel and low-cost needle tracking device may find a role as part of a real-time precision approach to both planning and implementation of image-guided therapies.

[1]  J. Fütterer,et al.  Assessment of needle guidance devices for their potential to reduce fluoroscopy time and operator hand dose during C-arm cone-beam computed tomography-guided needle interventions. , 2013, Journal of vascular and interventional radiology : JVIR.

[2]  Rajni V. Patel,et al.  Minimization of needle deflection in robot‐assisted percutaneous therapy , 2007, The international journal of medical robotics + computer assisted surgery : MRCAS.

[3]  Gabor Fichtinger,et al.  Electromagnetic tracking in surgical and interventional environments: usability study , 2015, International Journal of Computer Assisted Radiology and Surgery.

[4]  Rajnikant V. Patel,et al.  An analytical model for deflection of flexible needles during needle insertion , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[5]  Haim Azhari,et al.  Method for rapid MRI needle tracking , 2004, Magnetic resonance in medicine.

[6]  Ron Alterovitz,et al.  Experimental evaluation of ultrasound-guided 3D needle steering in biological tissue , 2014, International Journal of Computer Assisted Radiology and Surgery.

[7]  Navid Shahriari,et al.  Computed tomography (CT)-compatible remote center of motion needle steering robot: Fusing CT images and electromagnetic sensor data. , 2017, Medical engineering & physics.

[8]  A M Franz,et al.  Standardized assessment of new electromagnetic field generators in an interventional radiology setting. , 2012, Medical physics.

[9]  C. S. Winalski,et al.  Use of a novel percutaneous biopsy localization device: initial musculoskeletal experience , 2006, Skeletal Radiology.

[10]  Peter H. N. de With,et al.  Gabor-based needle detection and tracking in three-dimensional ultrasound data volumes , 2014, 2014 IEEE International Conference on Image Processing (ICIP).

[11]  Sarthak Misra,et al.  Real-time three-dimensional flexible needle tracking using two-dimensional ultrasound , 2013, 2013 IEEE International Conference on Robotics and Automation.

[12]  Jenny Dankelman,et al.  Error Analysis of FBG-Based Shape Sensors for Medical Needle Tracking , 2014, IEEE/ASME Transactions on Mechatronics.

[13]  A. Magnusson,et al.  Computed-tomography-guided punctures using a new guidance device , 2005, Acta radiologica.

[14]  Yan Yu,et al.  An improved needle steering model with online parameter estimator , 2006, International Journal of Computer Assisted Radiology and Surgery.

[15]  Jin Seob Kim,et al.  Diffusion-Based Motion Planning for a Nonholonomic Flexible Needle Model , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[16]  Jin Seob Kim,et al.  Nonholonomic Modeling of Needle Steering , 2006, Int. J. Robotics Res..

[17]  G. Shao,et al.  Electromagnetic navigation to assist with computed tomography-guided thermal ablation of liver tumors , 2020, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.

[18]  S. Weber,et al.  Stereotactic Image-Guided Microwave Ablation for Malignant Liver Tumors—A Multivariable Accuracy and Efficacy Analysis , 2020, Frontiers in Oncology.