Literature DB >> 9581062

An ultrasonic approach to localization of fiducial markers for interactive, image-guided neurosurgery--Part II: Implementation and automation.

S Schreiner1, R L Galloway, J T Lewis, W A Bass, D M Muratore.   

Abstract

Registration of image space and physical space lies at the heart of any interactive, image-guided neurosurgery system. This paper, in conjunction with the previous companion paper [1], describes a localization technique that enables bone-implanted fiducial markers to be used for the registration of these spaces. The nature of these subcutaneous markers allows for their long-term use for registration which is desirable for surgical follow-up, monitoring of therapy efficacy, and performing fractionated stereotactic radiosurgery. The major challenge to using implanted markers is determining the location of the markers in physical space after implantation. The A-mode ultrasonic technique described here is capable of determining the three-dimensional (3-D) location of small implanted cylindrical markers. Accuracy tests were conducted on a phantom representing a human head. The accuracy of the system was characterized by comparing the location of a marker analogue as determined with an optically tracked pointer and the location as determined with the ultrasonic localization. Analyzing the phantom in several orientations revealed a mean system accuracy of 0.5 mm with a +/- 0.1-mm 95% confidence interval. These tests indicate that transcutaneous localization of implanted fiducial markers is possible with a high degree of accuracy.

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Year:  1998        PMID: 9581062     DOI: 10.1109/10.668754

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

Review 1.  Computer-aided navigation in neurosurgery.

Authors:  P Grunert; K Darabi; J Espinosa; R Filippi
Journal:  Neurosurg Rev       Date:  2003-05       Impact factor: 3.042

2.  Fast and accurate registration of cranial CT images with A-mode ultrasound.

Authors:  Lorenz Fieten; Kirsten Schmieder; Martin Engelhardt; Lamija Pasalic; Klaus Radermacher; Stefan Heger
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-03-13       Impact factor: 2.924

3.  Vector field analysis for surface registration in computer-assisted ENT surgery.

Authors:  Georgi Diakov; Wolfgang Freysinger
Journal:  Int J Med Robot       Date:  2019-01-07       Impact factor: 2.547

  3 in total

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