Augmenting intraoperative ultrasound with preoperative magnetic resonance planning models for percutaneous renal access

BackgroundUltrasound (US) is a commonly-used intraoperative imaging modality for guiding percutaneous renal access (PRA). However, the anatomy identification and target localization abilities of the US imaging are limited. This paper evaluates the feasibility and efficiency of a proposed image-guided PRA by augmenting the intraoperative US with preoperative magnetic resonance (MR) planning models.MethodsFirst, a preoperative surgical planning approach is presented to define an optimal needle trajectory using MR volume data. Then, a MR to US registration is proposed to transfer the preoperative planning into the intraoperative context. The proposed registration makes use of orthogonal US slices to avoid local minima while reduce processing time. During the registration, a respiratory gating method is used to minimize the impact of kidney deformation. By augmenting the intraoperative US with preoperative MR models and a virtual needle, a visual guidance is provided to guarantee the correct execution of the surgical planning. The accuracy, robustness and processing time of the proposed registration were evaluated by four urologists on human data from four volunteers. Furthermore, the PRA experiments were performed by the same four urologists on a kidney phantom. The puncture accuracy in terms of the needle-target distance was measured, while the perceptual quality in using the proposed image guidance was evaluated according to custom scoring method.ResultsThe mean registration accuracy in terms of the root mean square (RMS) target registration error (TRE) is 3.53 mm. The RMS distance from the registered feature points to their average is 0.81 mm. The mean operating time of the registration is 6'4". In the phantom evaluation, the mean needle-target distance is 2.08 mm for the left lesion and 1.85 mm for the right one. The mean duration for all phantom PRA tests was 4'26". According to the custom scoring method, the mean scores of the Intervention Improvement, Workflow Impact, and Clinical Relevance were 4.0, 3.3 and 3.9 respectively.ConclusionsThe presented image guidance is feasible and promising for PRA procedure. With careful setup it can be efficient for overcoming the limitation of current US-guided PRA.

[1]  D. Nassiri,et al.  Percutaneous renal intervention: comparison of 2-D and time-resolved 3-D (4-D) ultrasound for minimal calyceal dilation using an ultrasound phantom and fluoroscopic control. , 2008, Ultrasound in medicine & biology.

[2]  Yohan Payan,et al.  Rigid Registration of Freehand 3D Ultrasound and CT-Scan Kidney Images , 2004, MICCAI.

[3]  Isabelle Bloch,et al.  A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes , 2009, Medical Image Anal..

[4]  Christina Kalogeropoulou,et al.  Imaging in percutaneous nephrolithotomy. , 2009, Journal of endourology.

[5]  David J. Hawkes,et al.  Registration of freehand 3D ultrasound and magnetic resonance liver images , 2004, Medical Image Anal..

[6]  Maud Marchal,et al.  Medical Image Computing and Computer-Aided Medical Interventions Applied to Soft Tissues: Work in Progress in Urology , 2006, Proceedings of the IEEE.

[7]  Uday Patel,et al.  Computed tomography for percutaneous renal access. , 2009, Journal of endourology.

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

[9]  Anuj Srivastava,et al.  Statistical Shape Analysis , 2014, Computer Vision, A Reference Guide.

[10]  S. Kalnicki,et al.  Abdominal organ motion measured using 4D CT. , 2006, International journal of radiation oncology, biology, physics.

[11]  Alireza Yousefi,et al.  Ultrasonography-guided percutaneous nephrolithotomy. , 2009, Journal of endourology.

[12]  Osamu Ukimura,et al.  Image-guided surgery in minimally invasive urology , 2010, Current opinion in urology.

[13]  E. S. Amis,et al.  What is the current role of CT urography and MR urography in the evaluation of the urinary tract? , 2009, Radiology.

[14]  Ramin Shahidi,et al.  Validation of medical image processing in image-guided therapy , 2002, IEEE Transactions on Medical Imaging.

[15]  G Laub,et al.  3D magnetization‐prepared true‐FISP: A new technique for imaging coronary arteries , 2001, Magnetic resonance in medicine.

[16]  M. Feuerstein,et al.  Navigation in endoscopic soft tissue surgery: perspectives and limitations. , 2008, Journal of endourology.

[17]  Y Payan,et al.  Computer‐assisted access to the kidney , 2005, The international journal of medical robotics + computer assisted surgery : MRCAS.

[18]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[19]  Evaluation of the Accuracy of 3‐Dimensional Ultrasonography of the Kidney Using an In Vitro Renal Model , 2009, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

[20]  K. Ghani,et al.  Three-dimensional ultrasound reconstruction of the pelvicaliceal system: an in-vitro study , 2008, World Journal of Urology.

[21]  Anne Auperin,et al.  Clinical Evaluation of Spatial Accuracy of a Fusion Imaging Technique Combining Previously Acquired Computed Tomography and Real-Time Ultrasound for Imaging of Liver Metastases , 2011, CardioVascular and Interventional Radiology.

[22]  K. Anson,et al.  Urinary tract stones--Part I: role of radiological imaging in diagnosis and treatment planning. , 2003, Clinical radiology.

[23]  E. Jung,et al.  Volume Navigation with Contrast Enhanced Ultrasound and Image Fusion for Percutaneous Interventions: First Results , 2012, PloS one.

[24]  Joon Koo Han,et al.  Clinical value of CT/MR-US fusion imaging for radiofrequency ablation of hepatic nodules. , 2012, European journal of radiology.

[25]  K. Lam,et al.  Improvement of CT-based treatment-planning models of abdominal targets using static exhale imaging. , 1998, International journal of radiation oncology, biology, physics.

[26]  David J. Hawkes,et al.  Overview of an ultrasound to CT or MR registration system for use in thermal ablation of liver metastases , 2001 .