Literature DB >> 14606670

Displacement estimation with co-registered ultrasound for image guided neurosurgery: a quantitative in vivo porcine study.

Karen E Lunn1, Keith D Paulsen, David W Roberts, Francis E Kennedy, Alex Hartov, John D West.   

Abstract

Brain shift during open cranial surgery presents a challenge for maintaining registration with image-guidance systems. Ultrasound (US) is a convenient intraoperative imaging modality that may be a useful tool in detecting tissue shift and updating preoperative images based on intraoperative measurements of brain deformation. We have quantitatively evaluated the ability of spatially tracked freehand US to detect displacement of implanted markers in a series of three in vivo porcine experiments, where both US and computed tomography (CT) image acquisitions were obtained before and after deforming the brain. Marker displacements ranged from 0.5 to 8.5 mm. Comparisons between CT and US measurements showed a mean target localization error of 1.5 mm, and a mean vector error for displacement of 1.1 mm. Mean error in the magnitude of displacement was 0.6 mm. For one of the animals studied, the US data was used in conjunction with a biomechanical model to nonrigidly re-register a baseline CT to the deformed brain. The mean error between the actual and deformed CT's was found to be on average 1.2 and 1.9 mm at the marker locations depending on the extent of the deformation induced. These findings indicate the potential accuracy in coregistered freehand US displacement tracking in brain tissue and suggest that the resulting information can be used to drive a modeling re-registration strategy to comparable levels of agreement.

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Year:  2003        PMID: 14606670     DOI: 10.1109/TMI.2003.819293

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  11 in total

1.  A fast and efficient method to compensate for brain shift for tumor resection therapies measured between preoperative and postoperative tomograms.

Authors:  Prashanth Dumpuri; Reid C Thompson; Aize Cao; Siyi Ding; Ishita Garg; Benoit M Dawant; Michael I Miga
Journal:  IEEE Trans Biomed Eng       Date:  2010-02-17       Impact factor: 4.538

2.  Gadolinium- and 5-aminolevulinic acid-induced protoporphyrin IX levels in human gliomas: an ex vivo quantitative study to correlate protoporphyrin IX levels and blood-brain barrier breakdown.

Authors:  Pablo A Valdés; Ziev B Moses; Anthony Kim; Clifford J Belden; Brian C Wilson; Keith D Paulsen; David W Roberts; Brent T Harris
Journal:  J Neuropathol Exp Neurol       Date:  2012-09       Impact factor: 3.685

3.  Model-updated image-guided liver surgery: preliminary results using surface characterization.

Authors:  Prashanth Dumpuri; Logan W Clements; Benoit M Dawant; Michael I Miga
Journal:  Prog Biophys Mol Biol       Date:  2010-09-30       Impact factor: 3.667

4.  Preliminary study of a novel method for conveying corrected image volumes in surgical navigation.

Authors:  Amber L Simpson; Prashanth Dumpuri; Janet E Ondrake; Jared A Weis; William R Jarnagin; Michael I Miga
Journal:  Int J Med Robot       Date:  2012-09-18       Impact factor: 2.547

5.  δ-aminolevulinic acid-induced protoporphyrin IX concentration correlates with histopathologic markers of malignancy in human gliomas: the need for quantitative fluorescence-guided resection to identify regions of increasing malignancy.

Authors:  Pablo A Valdés; Anthony Kim; Marco Brantsch; Carolyn Niu; Ziev B Moses; Tor D Tosteson; Brian C Wilson; Keith D Paulsen; David W Roberts; Brent T Harris
Journal:  Neuro Oncol       Date:  2011-08       Impact factor: 12.300

6.  3D XFEM-based modeling of retraction for preoperative image update.

Authors:  Lara M Vigneron; Simon K Warfield; Pierre A Robe; Jacques G Verly
Journal:  Comput Aided Surg       Date:  2011

7.  Data assimilation using a gradient descent method for estimation of intraoperative brain deformation.

Authors:  Songbai Ji; Alex Hartov; David Roberts; Keith Paulsen
Journal:  Med Image Anal       Date:  2009-07-09       Impact factor: 8.545

8.  Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI.

Authors:  Lara M Vigneron; Ludovic Noels; Simon K Warfield; Jacques G Verly; Pierre A Robe
Journal:  Int J Biomed Imaging       Date:  2012-01-12

9.  3D Rigid Registration of Intraoperative Ultrasound and Preoperative MR Brain Images Based on Hyperechogenic Structures.

Authors:  Pierrick Coupé; Pierre Hellier; Xavier Morandi; Christian Barillot
Journal:  Int J Biomed Imaging       Date:  2012-01-19

Review 10.  Intraoperative Imaging Modalities and Compensation for Brain Shift in Tumor Resection Surgery.

Authors:  Siming Bayer; Andreas Maier; Martin Ostermeier; Rebecca Fahrig
Journal:  Int J Biomed Imaging       Date:  2017-06-05
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