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

K.E. Lunn, K.D. Paulsen, D.W. Roberts, F.E. Kennedy, A. Hartov, J.D. West
2003 IEEE Transactions on Medical Imaging  
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.  ...  Index Terms-Brain modeling, brain shift, image-guided neurosurgery, image registration, intraoperative ultrasound.  ...  Extracting Bead Displacement Data In order to compare displacement measurements from CT and US data, the beads from all US and CT scans must be extracted and then mapped to the baseline CT volume using  ... 
doi:10.1109/tmi.2003.819293 pmid:14606670 fatcat:bqamhhddgnf3hpt53sag75rxxq

Verification of fetal brain responses by coregistration of fetal ultrasound and fetal magnetoencephalography data

C. Micheli, J. McCubbin, P. Murphy, H. Eswaran, C.L. Lowery, E. Ortiz, H. Preissl
2010 NeuroImage  
For this aim either auditory or visual stimuli are presented and evoked brain activity or spontaneous activity is measured at the sensor level.  ...  In the present report we overcome this limitation by a coregistration of volumetric ultrasound images with fMEG data.  ...  For the extraction of the sphere from the US data, multiple points on the reconstructed US images are marked to determine the fetal head diameter and the center of the sphere.  ... 
doi:10.1016/j.neuroimage.2009.09.025 pmid:19778620 pmcid:PMC2948237 fatcat:7cfevyvrevhu5lddinio7ryxti

Estimation of Brain Deformation for Volumetric Image Updating in Protoporphyrin IX Fluorescence-Guided Resection

Pablo A. Valdés, Xiaoyao Fan, Songbai Ji, Brent T. Harris, Keith D. Paulsen, David W. Roberts
2010 Stereotactic and Functional Neurosurgery  
Conclusion: Implementation of brain deformation modeling in FGR shows promise for increasing the accuracy of neurosurgical guidance in the delineation and resection of brain tumors.  ...  sound data was used to generate updated MR images.  ...  Roberts serves on the data monitoring committee for a Medtronic deep brain stimulation study.  ... 
doi:10.1159/000258143 pmid:19907205 pmcid:PMC2813794 fatcat:epjqftukjrcibp3osceseqdxry

Intraoperative image updating for brain shift following dural opening

Xiaoyao Fan, David W. Roberts, Timothy J. Schaewe, Songbai Ji, Leslie H. Holton, David A. Simon, Keith D. Paulsen
2017 Journal of Neurosurgery  
CONCLUSIONS-This study compensated for brain deformation caused by intraoperative dural opening using computational model-based assimilation of iSV cortical surface displacements.  ...  Keywords image-guided neurosurgery; brain deformation; FEM model; sparse data; intraoperative stereovision; diagnostic and operative techniques Fan et al.  ...  We acknowledge the support of Medtronic Navigation for use of the StealthStation S7 and Carl Zeiss (Carl Zeiss Surgical GmbH) for use of the OPMI Pentero operating microscope.  ... 
doi:10.3171/2016.6.jns152953 pmid:27611206 pmcid:PMC5549265 fatcat:v5wbnzytzjguth66jb3qkpfjr4

Graphical user interface for intraoperative neuroimage updating

Kyle R. Rick, Alex Hartov, David W. Roberts, Karen E. Lunn, Hai Sun, Keith D. Paulsen, Robert L. Galloway, Jr.
2003 Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display  
Upon acquisition of registration data for patient position in the OR (using fiducial markers), the Matlab GUI displays ultrasound image overlays on patient specific, preoperative MR images.  ...  Registration matrices are also applied to patientspecific anatomical models used for image updating.  ...  model (FEM) to generate volumetric calculations of brain tissue displacement.  ... 
doi:10.1117/12.479761 dblp:conf/miigp/RickHRLSP03 fatcat:53bzbym345hgdeqbvh3jfbyh2m

A computational model for tracking subsurface tissue deformation during stereotactic neurosurgery

K.D. Paulsen, M.I. Miga, F.E. Kennedy, P.J. Hoopens, A. Hartov, D.W. Roberts
1999 IEEE Transactions on Biomedical Engineering  
Specifically, we report on the initial development of a finite element model of brain tissue adapted from consolidation theory.  ...  While the predicted tissue displacements differ from measured values by about 15%, they suggest that exploiting a physics-based computational framework for updating preoperative imaging databases during  ...  For example, brain surface tracking devices could be used to extract boundary condition data for the model.  ... 
doi:10.1109/10.740884 pmid:9932343 fatcat:dhh7hn5mzbbizkvwaxl774ll2u

Stereovision to MR image registration for cortical surface displacement mapping to enhance image-guided neurosurgery

Xiaoyao Fan, Songbai Ji, Alex Hartov, David W. Roberts, Keith D. Paulsen
2014 Medical Physics (Lancaster)  
The full three-dimensional (3D) displacement field was also extracted to drive a biomechanical brain deformation model, the results of which were reconciled with the reconstructed iSV surface as another  ...  When the complete displacement map derived from surface registration was utilized, the resulting images generated from mechanical model updates were consistent in terms of both geometry (1-2 mm of model  ...  As a second form of evaluation that invoked data from the entire coregistered image surface, we used the full surface displacement map generated by the surface registration technique as sparse data in  ... 
doi:10.1118/1.4894705 pmid:25281972 pmcid:PMC5176089 fatcat:af2j4rm3t5cynd7rudqtlckjey

FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery [article]

Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao
2023 arXiv   pre-print
Intra-operative ultrasound (iUS) has been adopted to provide real-time images to track brain shift, and inter-modal (i.e., MRI-iUS) registration is often required to update the pre-surgical plan.  ...  Therefore, we propose a novel deep learning technique based on 3D focal modulation in conjunction with uncertainty estimation to accurately assess MRI-iUS registration errors for brain tumor surgery.  ...  Each coregistered iUS scan was deformed ten times.  ... 
arXiv:2307.14520v1 fatcat:na32gzmxrjbr5mnq2k5jwjwqym

Initial in-vivo analysis of 3D heterogeneous brain computations for model-updated image-guided neurosurgery [chapter]

Michael Miga, Keith Paulsen, Francis Kennedy, Jack Hoopes, Alex Hartov, David Roberts
1998 Lecture Notes in Computer Science  
Registration error resulting from intraoperative brain shift due to applied surgical loads has long been recognized as one of the most challenging problems in the field of frameless stereotactic neurosurgery  ...  To address this problem, we have developed a 3-dimensional finite element model of the brain and have begun to quantify its predictive capability in an in vivo porcine model.  ...  This data suggests that coregistered image studies performed preoperatively cannot accurately account for such shift which in turn could lead to surgical error when relied upon for navigational information  ... 
doi:10.1007/bfb0056261 pmid:26317118 pmcid:PMC4548975 fatcat:afips7pldrhfhox2btm57uglia

Image-guided neurosurgery at Brigham and Women's Hospital

S.P. Dimaio, N. Archip, N. Hata, I. Talos, S.K. Warfield, A. Majumdar, N. Mcdannold, K. Hynynen, P.R. Morrison, W.M. Wells, D.F. Kacher, R.E. Ellis (+4 others)
2006 IEEE Engineering in Medicine and Biology Magazine  
Acknowledgments The authors wish to thank Heather O'Leary, Pairash Saiviroonporn, Stephen Whalen, Jun Wada, and the Brain Science Foundation for their contributions as well as several NIH and NSF grants  ...  The overall accuracy of the brain deformation is estimated based on edge features extracted from the images.  ...  Recently, he has been studying the use of ultrasound for temporary disruption of the blood-brain barrier, which may allow for targeted drug delivery in the brain.  ... 
doi:10.1109/memb.2006.1705749 pmid:17020201 fatcat:pisbdm52irddbg5pkddgawmsie

SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization

Fan Zhang, Thomas Noh, Parikshit Juvekar, Sarah F Frisken, Laura Rigolo, Isaiah Norton, Tina Kapur, Sonia Pujol, William Wells, Alex Yarmarkovich, Gordon Kindlmann, Demian Wassermann (+8 others)
2020 JCO Clinical Cancer Informatics  
In this article, we focus on a demonstration of SlicerDMRI as an informatics tool to enable end-to-end dMRI analyses in two retrospective imaging data sets from patients with high-grade glioma.  ...  that surrounds brain tumors.  ...  Intraoperative ultrasound data are overlaid on the presurgical MRI data for an integrated visualization.  ... 
doi:10.1200/cci.19.00141 pmid:32216636 pmcid:PMC7113081 fatcat:ixutwa2k65fpjhdgmm7smeffsu

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

Siming Bayer, Andreas Maier, Martin Ostermeier, Rebecca Fahrig
2017 International Journal of Biomedical Imaging  
Clinical experience of using intraoperative imaging modalities, details about registration, and modeling methods in connection with brain shift in tumor resection surgery are the focuses of this review  ...  The consequences from the categorization and trends in the future are discussed at the end of this work.  ...  The quantitative analyses show that coregistered iUS could measure the intraoperative displacement effectively and could be used with a computational model.  ... 
doi:10.1155/2017/6028645 pmid:28676821 pmcid:PMC5476838 fatcat:hb3tljwacnc2po4dbmibs27x3e

In vivo quantification of retraction deformation modeling for updated image-guidance during neurosurgery

L.A. Platenik, M.I. Miga, D.W. Roberts, K.E. Lunn, F.E. Kennedy, A. Hartov, K.D. Paulsen
2002 IEEE Transactions on Biomedical Engineering  
We are developing the strategy of exploiting a computational model driven by sparse data obtained from intraoperative ultrasound and cortical surface tracking to warp preoperative images to reflect the  ...  Overall, the level of quantitative agreement achieved in these experiments is encouraging for updating preoperative images to reflect tissue deformation resulting from retraction, especially since model  ...  details from individual experiments which are important for highlighting the spatial characteristics of the model-data comparisons.  ... 
doi:10.1109/tbme.2002.800760 pmid:12148821 fatcat:hfwo2agplnbrhhzxpfg5vdhalm

Multi-modal learning-based pre-operative targeting in deep brain stimulation procedures

Yuan Liu, Benoit M. Dawant
2016 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)  
Deep brain stimulation, as a primary surgical treatment for various neurological disorders, involves implanting electrodes to stimulate target nuclei within millimeter accuracy.  ...  Regression forests are used to learn a displacement vector of this point to the target.  ...  To simplify model training, we define a bounding box that roughly covers the deep brain and constrain the samples to be uniformly drawn from this region.  ... 
doi:10.1109/bhi.2016.7455824 pmid:27754497 pmcid:PMC5042326 dblp:conf/bhi/LiuD16 fatcat:az6d6bwywjhufd7jq5fy6yz3a4

Ultrashort echo-time MRI versus CT for skull aberration correction in MR-guided transcranial focused ultrasound: In vitro comparison on human calvaria

G. Wilson Miller, Matthew Eames, John Snell, Jean-François Aubry
2015 Medical Physics (Lancaster)  
Purpose: Transcranial magnetic resonance-guided focused ultrasound (TcMRgFUS) brain treatment systems compensate for skull-induced beam aberrations by adjusting the phase and amplitude of individual ultrasound  ...  Each target location was sonicated three times: once using aberration corrections calculated from the actual CT scan, once using corrections calculated from the MRI-derived virtual CT scan, and once without  ...  Financial support was provided by the UVA Focused Ultrasound Center. G.W.M. receives research support from Siemens Healthcare.  ... 
doi:10.1118/1.4916656 pmid:25979016 fatcat:66nh43h2o5fsvlzgjdt47rd35i
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