A novel approach for fast generation of digitally reconstructed radiographs to increase the automation of 2D-3D registration system

The pedicle screw insertion method has become one of the most preferred techniques for the spinal fixation over the past few years. This method uses 2D-3D registration which becomes complicated when it is to be made faster and accurate with least human involvement. In this paper, we describe a different approach to improve the speed of the Digitally Reconstructed Radiography (DRR) by using different wavelet filters. The comparison is made based on the compression capabilities of the two filters namely Haar and 5/3 filters. This is followed by the explanation about the thoracic vertebrae identification using template matching method which uses the Generalized Hough Transform (GHT).

[1]  Bostjan Likar,et al.  A review of 3D/2D registration methods for image-guided interventions , 2012, Medical Image Anal..

[2]  S. Schafer,et al.  Automatic localization of vertebral levels in x-ray fluoroscopy using 3D-2D registration: a tool to reduce wrong-site surgery , 2012, Physics in medicine and biology.

[3]  Paul Suetens,et al.  GPU-accelerated digitally reconstructed radiographs , 2008 .

[4]  Graeme P. Penney,et al.  Fully automated 2D-3D registration and verification , 2015, Medical Image Anal..

[5]  Mohammed Benjelloun,et al.  Vertebra identification using template matching modelmp and $$K$$K-means clustering , 2014, International Journal of Computer Assisted Radiology and Surgery.

[6]  M. Levoy,et al.  Fast volume rendering using a shear-warp factorization of the viewing transformation , 1994, SIGGRAPH.

[7]  Been-Der Yang,et al.  FAST AND HIGH PRECISION DIGITALLY RECONSTRUCTED RADIOGRAPH GENERATION ON GRAPHIC PROCESSING UNIT , 2012 .

[8]  Tilo Strutz,et al.  Wavelet filter design based on the lifting scheme and its application in lossless image compression , 2009 .

[9]  Torsten Rohlfing,et al.  Fast intensity-based 2D-3D image registration of clinical data using light , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[10]  Mohammed Benjelloun,et al.  Semi-automatic detection of cervical vertebrae in X-ray images using generalized hough transform , 2012, 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA).

[11]  David W. Polly,et al.  Intraoperative 3-dimensional imaging (O-arm) for assessment of pedicle screw position: Does it prevent unacceptable screw placement? , 2012, International Journal of Spine Surgery.

[12]  M. N. Giri Prasad,et al.  Efficient Image Compression Algorithms Using Evolved Wavelets , 2011 .

[13]  Lilla Zöllei,et al.  2D-3D Rigid-Body Registration of X-Ray Fluoroscopy and CT Images , 2001 .