Towards real time 2D to 3D registration for ultrasound-guided endoscopic and laparoscopic procedures

PurposeA method to register endoscopic and laparoscopic ultrasound (US) images in real time with pre-operative computed tomography (CT) data sets has been developed with the goal of improving diagnosis, biopsy guidance, and surgical interventions in the abdomen.MethodsThe technique, which has the potential to operate in real time, is based on a new phase correlation technique: LEPART, which specifies the location of a plane in the CT data which best corresponds to the US image. Validation of the method was carried out using an US phantom with cyst regions and with retrospective analysis of data sets from animal model experiments.ResultsThe phantom validation study shows that local translation displacements can be recovered for each US frame with a root mean squared error of 1.56 ± 0.78 mm in less than 5 sec, using non-optimized algorithm implementations.ConclusionA new method for multimodality (preoperative CT and intraoperative US endoscopic images) registration to guide endoscopic interventions was developed and found to be efficient using clinically realistic datasets. The algorithm is inherently capable of being implemented in a parallel computing system so that full real time operation appears likely.

[1]  R. F. Wagner,et al.  Statistics of Speckle in Ultrasound B-Scans , 1983, IEEE Transactions on Sonics and Ultrasonics.

[2]  S. Soliman,et al.  Continuous and discrete signals and systems , 1990 .

[3]  D. Kaplan,et al.  On the statistical characteristics of log‐compressed Rayleigh signals: Theoretical formulation and experimental results , 1994 .

[4]  J. Arendt Paper presented at the 10th Nordic-Baltic Conference on Biomedical Imaging: Field: A Program for Simulating Ultrasound Systems , 1996 .

[5]  Joos Vandewalle,et al.  A Multilinear Singular Value Decomposition , 2000, SIAM J. Matrix Anal. Appl..

[6]  Nicholas Ayache,et al.  Rigid registration of 3-D ultrasound with MR images: a new approach combining intensity and gradient information , 2001, IEEE Transactions on Medical Imaging.

[7]  Hassan Foroosh,et al.  Extension of phase correlation to subpixel registration , 2002, IEEE Trans. Image Process..

[8]  Kenneth Moreland,et al.  The FFT on a GPU , 2003, HWWS '03.

[9]  William Scott Hoge,et al.  A subspace identification extension to the phase correlation method [MRI application] , 2003, IEEE Transactions on Medical Imaging.

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

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

[12]  Carl-Fredrik Westin,et al.  Identification of translational displacements between N-dimensional data sets using the high-order SVD and phase correlation , 2005, IEEE Transactions on Image Processing.

[13]  Raúl San José Estépar,et al.  Towards scarless surgery: An endoscopic ultrasound navigation system for transgastric access procedures , 2007, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[14]  K. Boone,et al.  Effect of skin impedance on image quality and variability in electrical impedance tomography: a model study , 1996, Medical and Biological Engineering and Computing.

[15]  K. Vosburgh,et al.  Assessing Technical Skill in Surgery and Endoscopy: A Set of Metrics and an Algorithm (C-PASS) to Assess Skills in Surgical and Endoscopic Procedures , 2007, Surgical innovation.

[16]  Nassir Navab,et al.  Simulation and Fully Automatic Multimodal Registration of Medical Ultrasound , 2007, MICCAI.

[17]  Nassir Navab,et al.  Integrating Diagnostic B-Mode Ultrasonography Into CT-Based Radiation Treatment Planning , 2007, IEEE Transactions on Medical Imaging.

[18]  Raúl San José Estépar,et al.  EUS with CT improves efficiency and structure identification over conventional EUS. , 2007, Gastrointestinal endoscopy.

[19]  Nassir Navab,et al.  Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention , 2008, Medical Image Anal..

[20]  Nassir Navab,et al.  Real-Time Simulation of Medical Ultrasound from CT Images , 2008, MICCAI.