By Isabelle M. Germano
A accomplished assessment of the state of the art know-how at the moment to be had for neuronavigation. it is going to give you the reader with the scientific functions of this know-how to varied features of cranial and spinal surgical procedure.
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Additional resources for Advanced techniques in image-guided brain and spine surgery
The top row demonstrates that a widely separated fiducial configuration produces smaller TRE values than a clustered configuration. The middle row shows that a cluster of fiducials produces small TRE values only near the cluster. The bottom row illustrates the danger of using linear or near collinear fiducial configurations. 0 mm. , in (G), contours for 1 and 2 mm are missing], which means that TRE values inside the 3 mm contour range between 2 and 3 mm. (Modified from West JB, Fitzpatrick JM, Toms SA, Maurer CR Jr, Maciunas RJ.
The registration transformation is determined by iteratively optimizing some similarity measure computed from all voxel values. pgsI 2/28/02 10:42 AM Page 29 Sources of Error in Image Registration for Cranial Image-Guided Neurosurgery erally 3-D images such as CT, MR, and PET, these measures are often referred to as voxel similarity measures. 26 But it is helpful to have some understanding of the most commonly used and successful algorithms, which are based on joint histograms and information theory.
The computer vision sensors, 3-D localizers, and tracked A-mode probes produce surface point sets. Tracked B-mode probes produce a set of 2-D images (or a single compounded 3-D image) from which bone surface points need to be segmented. There is a large body of literature in computer vision concerned with the surface-based registration problem. pgsI 2/28/02 10:42 AM Page 27 Sources of Error in Image Registration for Cranial Image-Guided Neurosurgery FIGURE 2–8. Illustration of surfacebased registration of the head using the facial skin surface.
Advanced techniques in image-guided brain and spine surgery by Isabelle M. Germano