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Stability metrics for optic radiation tractography : towards damage prediction after resective surgery

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Abstract
Background: An accurate delineation of the optic radiation (OR) using diffusion MR tractography may reduce the risk of a visual field deficit after temporal lobe resection. However, tractography is prone to generate spurious streamlines, which deviate strongly from neighboring streamlines and hinder a reliable distance measurement between the temporal pole and the Meyer's loop (ML-TP distance). New method: Stability metrics are introduced for the automated removal of spurious streamlines near the Meyer's loop. Firstly, fiber-to-bundle coherence (FBC) measures can identify spurious streamlines by estimating their alignment with the surrounding streamline bundle. Secondly, robust threshold selection removes spurious streamlines while preventing an underestimation of the extent of the Meyer's loop. Standardized parameter selection is realized through test-retest evaluation of the variability in ML-TP distance. Results: The variability in ML-TP distance after parameter selection was below 2 mm for each of the healthy volunteers studied (N=8). The importance of the stability metrics is illustrated for epilepsy surgery candidates (N=3) for whom the damage to the Meyer's loop was evaluated by comparing the pre- and post-operative OR reconstruction. The difference between predicted and observed damage is in the order of a few millimeters, which is the error in measured ML-TP distance. Comparison with existing method(s): The stability metrics are a novel method for the robust estimate of the ML-TP distance. Conclusions: The stability metrics are a promising tool for clinical trial studies, in which the damage to the OR can be related to the visual field deficit that may occur after epilepsy surgery.
Keywords
Optic radiation, Meyer's loop, Diffusion magnetic resonance imaging, Fiber tractography, Epilepsy, Neurosurgery, TENSOR IMAGING TRACTOGRAPHY, TEMPORAL-LOBE EPILEPSY, VISUAL-FIELD DEFICITS, IN-DIFFUSION MRI, WHITE-MATTER, MEYERS LOOP, SPHERICAL DECONVOLUTION, RECONSTRUCTION, DISSECTION, DISTORTION

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MLA
Meesters, Stephan et al. “Stability Metrics for Optic Radiation Tractography : Towards Damage Prediction After Resective Surgery.” JOURNAL OF NEUROSCIENCE METHODS 288 (2017): 34–44. Print.
APA
Meesters, S., Ossenblok, P., Wagner, L., Schijns, O., Boon, P., Florack, L., Vilanova, A., et al. (2017). Stability metrics for optic radiation tractography : towards damage prediction after resective surgery. JOURNAL OF NEUROSCIENCE METHODS, 288, 34–44.
Chicago author-date
Meesters, Stephan, Pauly Ossenblok, Louis Wagner, Olaf Schijns, Paul Boon, Luc Florack, Anna Vilanova, and Remco Duits. 2017. “Stability Metrics for Optic Radiation Tractography : Towards Damage Prediction After Resective Surgery.” Journal of Neuroscience Methods 288: 34–44.
Chicago author-date (all authors)
Meesters, Stephan, Pauly Ossenblok, Louis Wagner, Olaf Schijns, Paul Boon, Luc Florack, Anna Vilanova, and Remco Duits. 2017. “Stability Metrics for Optic Radiation Tractography : Towards Damage Prediction After Resective Surgery.” Journal of Neuroscience Methods 288: 34–44.
Vancouver
1.
Meesters S, Ossenblok P, Wagner L, Schijns O, Boon P, Florack L, et al. Stability metrics for optic radiation tractography : towards damage prediction after resective surgery. JOURNAL OF NEUROSCIENCE METHODS. 2017;288:34–44.
IEEE
[1]
S. Meesters et al., “Stability metrics for optic radiation tractography : towards damage prediction after resective surgery,” JOURNAL OF NEUROSCIENCE METHODS, vol. 288, pp. 34–44, 2017.
@article{8547302,
  abstract     = {Background: An accurate delineation of the optic radiation (OR) using diffusion MR tractography may reduce the risk of a visual field deficit after temporal lobe resection. However, tractography is prone to generate spurious streamlines, which deviate strongly from neighboring streamlines and hinder a reliable distance measurement between the temporal pole and the Meyer's loop (ML-TP distance). 
New method: Stability metrics are introduced for the automated removal of spurious streamlines near the Meyer's loop. Firstly, fiber-to-bundle coherence (FBC) measures can identify spurious streamlines by estimating their alignment with the surrounding streamline bundle. Secondly, robust threshold selection removes spurious streamlines while preventing an underestimation of the extent of the Meyer's loop. Standardized parameter selection is realized through test-retest evaluation of the variability in ML-TP distance. 
Results: The variability in ML-TP distance after parameter selection was below 2 mm for each of the healthy volunteers studied (N=8). The importance of the stability metrics is illustrated for epilepsy surgery candidates (N=3) for whom the damage to the Meyer's loop was evaluated by comparing the pre- and post-operative OR reconstruction. The difference between predicted and observed damage is in the order of a few millimeters, which is the error in measured ML-TP distance. 
Comparison with existing method(s): The stability metrics are a novel method for the robust estimate of the ML-TP distance. 
Conclusions: The stability metrics are a promising tool for clinical trial studies, in which the damage to the OR can be related to the visual field deficit that may occur after epilepsy surgery.},
  author       = {Meesters, Stephan and Ossenblok, Pauly and Wagner, Louis and Schijns, Olaf and Boon, Paul and Florack, Luc and Vilanova, Anna and Duits, Remco},
  issn         = {0165-0270},
  journal      = {JOURNAL OF NEUROSCIENCE METHODS},
  keywords     = {Optic radiation,Meyer's loop,Diffusion magnetic resonance imaging,Fiber tractography,Epilepsy,Neurosurgery,TENSOR IMAGING TRACTOGRAPHY,TEMPORAL-LOBE EPILEPSY,VISUAL-FIELD DEFICITS,IN-DIFFUSION MRI,WHITE-MATTER,MEYERS LOOP,SPHERICAL DECONVOLUTION,RECONSTRUCTION,DISSECTION,DISTORTION},
  language     = {eng},
  pages        = {34--44},
  title        = {Stability metrics for optic radiation tractography : towards damage prediction after resective surgery},
  url          = {http://dx.doi.org/10.1016/j.jneumeth.2017.05.029},
  volume       = {288},
  year         = {2017},
}

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