Ultrasound 3D reconstruction of malignant masses in robotic-assisted partial nephrectomy using the PAF rail system: a comparison study

Purpose In robotic-assisted partial nephrectomy (RAPN), the use of intraoperative ultrasound (IOUS) helps to localise and outline the tumours as well as the blood vessels within the kidney. The aim of this work is to evaluate the use of the pneumatically attachable flexible (PAF) rail system for US 3D reconstruction of malignant masses in RAPN. The PAF rail system is a novel device developed and previously presented by the authors to enable track-guided US scanning. Methods We present a comparison study between US 3D reconstruction of masses based on: the da Vinci Surgical System kinematics, single- and stereo-camera tracking of visual markers embedded on the probe. An US-realistic kidney phantom embedding a mass is used for testing. A new design for the US probe attachment to enhance the performance of the kinematic approach is presented. A feature extraction algorithm is proposed to detect the margins of the targeted mass in US images. Results To evaluate the performance of the investigated approaches the resulting 3D reconstructions have been compared to a CT scan of the phantom. The data collected indicates that single camera reconstruction outperformed the other approaches, reconstructing with a sub-millimetre accuracy the targeted mass. Conclusions This work demonstrates that the PAF rail system provides a reliable platform to enable accurate US 3D reconstruction of masses in RAPN procedures. The proposed system has also the potential to be employed in other surgical procedures such as hepatectomy or laparoscopic liver resection.

[1]  S. Bhayani da Vinci robotic partial nephrectomy for renal cell carcinoma: an atlas of the four-arm technique , 2008, Journal of robotic surgery.

[2]  A. Christensen,et al.  Three-dimensional endoluminal ultrasound-guided interstitial brachytherapy in patients with anal cancer , 2008, Acta radiologica.

[3]  Adrien E. Desjardins,et al.  Wall-less vascular poly(vinyl) alcohol gel ultrasound imaging phantoms using 3D printed vessels , 2019, BiOS.

[4]  Guang-Zhong Yang,et al.  Intraoperative ultrasound overlay in robot-assisted partial nephrectomy: first clinical experience. , 2014, European urology.

[5]  H. Kaneko,et al.  Laparoscopic partial hepatectomy and left lateral segmentectomy: technique and results of a clinical series. , 1996, Surgery.

[6]  T. Nelson,et al.  Three-dimensional ultrasound imaging. , 1998, Ultrasound in medicine & biology.

[7]  Andras Lasso,et al.  PLUS: Open-Source Toolkit for Ultrasound-Guided Intervention Systems , 2014, IEEE Transactions on Biomedical Engineering.

[8]  Lorenzo Marconi,et al.  European Association of Urology Guidelines on Renal Cell Carcinoma: The 2019 Update. , 2019, European urology.

[9]  W B Shingleton,et al.  Percutaneous renal tumor cryoablation with magnetic resonance imaging guidance. , 2001, The Journal of urology.

[10]  D. Reeve Diagnostic Ultrasound: Physics and Equipment , 2012, The Journal of Nuclear Medicine.

[11]  Francisco José Madrid-Cuevas,et al.  Automatic generation and detection of highly reliable fiducial markers under occlusion , 2014, Pattern Recognit..

[12]  Jay B. West,et al.  Predicting error in rigid-body point-based registration , 1998, IEEE Transactions on Medical Imaging.

[13]  Jay B. West,et al.  The distribution of target registration error in rigid-body point-based registration , 2001, IEEE Transactions on Medical Imaging.

[14]  A. Seginer Rigid-body point-based registration: The distribution of the target registration error when the fiducial registration errors are given , 2011, Medical Image Anal..

[15]  Danail Stoyanov,et al.  Pneumatically Attachable Flexible Rails for Track-Guided Ultrasound Scanning in Robotic-Assisted Partial Nephrectomy—A Preliminary Design Study , 2019, IEEE Robotics and Automation Letters.

[16]  Russell H. Taylor,et al.  Augmented reality during robot-assisted laparoscopic partial nephrectomy: toward real-time 3D-CT to stereoscopic video registration. , 2009, Urology.

[17]  Edwin Olson,et al.  AprilTag 2: Efficient and robust fiducial detection , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[18]  M. Menon,et al.  Robotic ultrasound probe for tumor identification in robotic partial nephrectomy: Initial series and outcomes , 2013, International journal of urology : official journal of the Japanese Urological Association.

[19]  Irfan Ahmed,et al.  A single-blind controlled study of electrocautery and ultrasonic scalpel smoke plumes in laparoscopic surgery , 2012, Surgical Endoscopy.

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

[21]  Danail Stoyanov,et al.  Semi-Autonomous Interventional Manipulation using Pneumatically Attachable Flexible Rails , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[22]  I. Joo The role of intraoperative ultrasonography in the diagnosis and management of focal hepatic lesions , 2015, Ultrasonography.

[23]  Daniil I. Nikitichev,et al.  Anatomically realistic ultrasound phantoms using gel wax with 3D printed moulds , 2018, Physics in medicine and biology.

[24]  Gene H. Golub,et al.  Singular value decomposition and least squares solutions , 1970, Milestones in Matrix Computation.