Literature DB >> 15257478

High-resolution laser surface scanning for patient registration in cranial computer-assisted surgery.

R Marmulla1, J Mühling, C R Wirtz, S Hassfeld.   

Abstract

OBJECTIVE: Markerless patient registration is a new procedure that may reduce logistical efforts and possibly also the radiation load on the patients prior to a computer-assisted intervention. Congruent surfaces, such as bone surfaces or skin surfaces, represented in a data set and in the surgical site, can be overlapped using surface-matching. Previous studies describing this kind of markerless registration, however, show inaccuracies of up to 10 mm during computer-assisted navigation. Furthermore, these systems use less than 1000 surface points of the soft tissue surface in order to establish a correlation between the patient and the data set. Previous papers did not answer the question whether it is this scanning resolution that induces these inaccuracies in registration or rather intraoperative skin deformations. STUDY
DESIGN: In the present study therefore a new navigation system (SSN++) was used which is able to register up to 180,000 surface points of the surgical site. SSN++ is an infrared navigation system enlarged by a Minolta VI 900 3D volume digitizer. Three different kinds of laser scan-resolution were used for data correlation. An additional congruence analysis was performed in order to assess the geometry of the matched skin surfaces. 22 patients suffering from different cranial diseases (tumors, bony malformations, foreign bodies) were prepared for a computer-assisted intervention. Intraoral titanium-markers, rigidly fixed on the patients by a maxillary splint, were placed as targets while the CT data sets were made. These targets were - after markerless laser scan registration of the patients - supposed to serve for validating the new high-resolution navigation system SSN++.
RESULTS: The accuracy of markerless laser scan registration depends on the intraoperative laser scan's resolution. A high accuracy of the data correlation can be achieved if the number of the laser scan cloud points is about the same as the number of voxels of the corresponding surface on the CT data set. A reduction of the laser scan cloud points to less than 10 % compared to the number of voxels of the CT surface, however, leads to a significant loss of accuracy after markerless patient registration.
CONCLUSION: The markerless laser scan registration of the surgical site may achieve the same accuracy as a patient registration made by rigidly fixed titanium screws (mean accuracy: 1.2 mm) as long as a high-resolution laser scan is being used.

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Year:  2004        PMID: 15257478     DOI: 10.1055/s-2004-818471

Source DB:  PubMed          Journal:  Minim Invasive Neurosurg        ISSN: 0946-7211


  7 in total

1.  Intraoperative patient registration using volumetric true 3D ultrasound without fiducials.

Authors:  Songbai Ji; David W Roberts; Alex Hartov; Keith D Paulsen
Journal:  Med Phys       Date:  2012-12       Impact factor: 4.071

2.  Regional-surface-based registration for image-guided neurosurgery: effects of scan modes on registration accuracy.

Authors:  Yuan Dong; Chenxi Zhang; Dafeng Ji; Manning Wang; Zhijian Song
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-05-04       Impact factor: 2.924

3.  Neuro-navigation: An Adjunct in Craniofacial Surgeries: Our Experience.

Authors:  Harsha Chauhan; S Girish Rao; B A Chandramurli; S Sampath
Journal:  J Maxillofac Oral Surg       Date:  2011-05-17

4.  Surface matching for high-accuracy registration of the lateral skull base.

Authors:  Chaozheng Zhou; Lukas Anschuetz; Stefan Weder; Le Xie; Marco Caversaccio; Stefan Weber; Tom Williamson
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-05-03       Impact factor: 2.924

5.  Image-guided surgery and medical robotics in the cranial area.

Authors:  G Widmann
Journal:  Biomed Imaging Interv J       Date:  2007-01-01

6.  Three-dimensional and thermal surface imaging produces reliable measures of joint shape and temperature: a potential tool for quantifying arthritis.

Authors:  Steven J Spalding; C Kent Kwoh; Robert Boudreau; Joseph Enama; Julie Lunich; Daniel Huber; Louis Denes; Raphael Hirsch
Journal:  Arthritis Res Ther       Date:  2008-01-23       Impact factor: 5.156

7.  Multimodal navigated skull base tumor resection using image-based vascular and cranial nerve segmentation: A prospective pilot study.

Authors:  Parviz Dolati; Abdulkerim Gokoglu; Daniel Eichberg; Amir Zamani; Alexandra Golby; Ossama Al-Mefty
Journal:  Surg Neurol Int       Date:  2015-11-19
  7 in total

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