scholarly journals Magnetic Resonance Fiber Tracking in a Neonate with Hemimegalencephaly

2015 ◽  
Vol 25 (5) ◽  
pp. 844-847 ◽  
Author(s):  
Thomas J Re ◽  
Laura Scarciolla ◽  
Emi Takahashi ◽  
Nicola Specchio ◽  
Bruno Bernardi ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Fiber Tracking

Accuracy of diffusion tensor magnetic resonance imaging tractography assessed using intraoperative subcortical stimulation mapping and magnetic source imaging

2007 ◽  
Vol 107 (3) ◽  
pp. 488-494 ◽  
Author(s):  
Jeffrey I. Berman ◽  
Mitchel S. Berger ◽  
Sungwon Chung ◽  
Srikantan S. Nagarajan ◽  
Roland G. Henry
Keyword(s):  
White Matter ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Fiber Tracking ◽  
Bipolar Electrode ◽  
Source Imaging ◽  
Magnetic Source Imaging ◽  
Motor Pathway ◽  
Magnetic Source ◽  
Subcortical Stimulation

Object Resecting brain tumors involves the risk of damaging the descending motor pathway. Diffusion tensor (DT)–imaged fiber tracking is a noninvasive magnetic resonance (MR) technique that can delineate the subcortical course of the motor pathway. The goal of this study was to use intraoperative subcortical stimulation mapping of the motor tract and magnetic source imaging to validate the utility of DT-imaged fiber tracking as a tool for presurgical planning. Methods Diffusion tensor-imaged fiber tracks of the motor tract were generated preoperatively in nine patients with gliomas. A mask of the resultant fiber tracks was overlaid on high-resolution T1- and T2-weighted anatomical MR images and used for stereotactic surgical navigation. Magnetic source imaging was performed in seven of the patients to identify functional somatosensory cortices. During resection, subcortical stimulation mapping of the motor pathway was performed within the white matter using a bipolar electrode. Results A total of 16 subcortical motor stimulations were stereotactically identified in nine patients. The mean distance between the stimulation sites and the DT-imaged fiber tracks was 8.7 ±3.1 mm (±standard deviation). The measured distance between subcortical stimulation sites and DT-imaged fiber tracks combines tracking technique errors and all errors encountered with stereotactic navigation. Conclusions Fiber tracks delineated using DT imaging can be used to identify the motor tract in deep white matter and define a safety margin around the tract.

Enhanced Fiber Tractography Using Edema Correction: Application and Evaluation in High-Grade Gliomas

Neurosurgery ◽  
2021 ◽  
Author(s):  
Fraser Henderson Jr ◽  
Drew Parker ◽  
Anupa A Vijayakumari ◽  
Mark Elliott ◽  
Timothy Lucas ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Free Water ◽  
High Grade Glioma ◽  
Fiber Tracking ◽  
High Grade ◽  
Peritumoral Edema ◽  
Fiber Tractography ◽  
Motor Pathways

Abstract BACKGROUND A limitation of diffusion tensor imaging (DTI)-based tractography is peritumoral edema that confounds traditional diffusion-based magnetic resonance metrics. OBJECTIVE To augment fiber-tracking through peritumoral regions by performing novel edema correction on clinically feasible DTI acquisitions and assess the accuracy of the fiber-tracks using intraoperative stimulation mapping (ISM), task-based functional magnetic resonance imaging (fMRI) activation maps, and postoperative follow-up as reference standards. METHODS Edema correction, using our bi-compartment free water modeling algorithm (FERNET), was performed on clinically acquired DTI data from a cohort of 10 patients presenting with suspected high-grade glioma and peritumoral edema in proximity to and/or infiltrating language or motor pathways. Deterministic fiber-tracking was then performed on the corrected and uncorrected DTI to identify tracts pertaining to the eloquent region involved (language or motor). Tracking results were compared visually and quantitatively using mean fiber count, voxel count, and mean fiber length. The tracts through the edematous region were verified based on overlay with the corresponding motor or language task-based fMRI activation maps and intraoperative ISM points, as well as at time points after surgery when peritumoral edema had subsided. RESULTS Volume and number of fibers increased with application of edema correction; concordantly, mean fractional anisotropy decreased. Overlay with functional activation maps and ISM-verified eloquence of the increased fibers. Comparison with postsurgical follow-up scans with lower edema further confirmed the accuracy of the tracts. CONCLUSION This method of edema correction can be applied to standard clinical DTI to improve visualization of motor and language tracts in patients with glioma-associated peritumoral edema.

Accuracy of Diffusion Tensor Magnetic Resonance Imaging-Based Tractography for Surgery of Gliomas Near the Pyramidal Tract

Neurosurgery ◽  
2011 ◽  
Vol 70 (2) ◽  
pp. 283-294 ◽  
Author(s):  
Shiro Ohue ◽  
Shohei Kohno ◽  
Akihiro Inoue ◽  
Daisuke Yamashita ◽  
Hironobu Harada ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Motor Function ◽  
Navigation System ◽  
Diffusion Tensor ◽  
Pyramidal Tract ◽  
Motor Evoked Potentials ◽  
Fiber Tracking ◽  
Integrated Navigation ◽  
Threshold Intensity ◽  
Integrated Navigation System

Abstract BACKGROUND: Diffusion tensor (DT) imaging-based fiber tracking is a noninvasive magnetic resonance technique that can delineate the course of white matter fibers. OBJECTIVE: To evaluate the accuracy and usefulness of this DT imaging-based fiber tracking for surgery in patients with gliomas near the pyramidal tract (PT). METHODS: Subjects comprised 32 patients with gliomas near the PT. DT imaging-based fiber tracks of the PT were generated before and within 3 days after surgery in all patients. A tractography-integrated navigation system was used during the operation. Cortical and subcortical motor-evoked potentials (MEPs) were also monitored during resection to maximize the preservation of motor function. The threshold intensity for subcortical MEPs was examined by searching the stimulus points and changing the stimulus intensity. Minimum distance between the resection border and the illustrated PT was measured on postoperative tractography. RESULTS: In all subjects, DT imaging-based tractography of the PT was successfully performed, preoperatively demonstrating the relationship between tumors and the PT. With the use of the tractography-integrated navigation system and intraoperative MEPs, motor function was preserved postoperatively in all patients. A significant correlation was seen between threshold intensity for subcortical MEPs and the distance between the resection border and PT on postoperative DT imaging. CONCLUSION: DT imaging-based fiber tracking is a reliable and accurate method for mapping the course of subcortical PTs. Fiber tracking and intraoperative MEPs were useful for preserving motor function in patients with gliomas near the PT.

Magnetic Resonance Imaging Diffusion Tensor Tractography: Evaluation of Anatomic Accuracy of Different Fiber Tracking Software Packages

2014 ◽  
Vol 81 (1) ◽  
pp. 144-150 ◽  
Author(s):  
Guenther C. Feigl ◽  
Wolfgang Hiergeist ◽  
Claudia Fellner ◽  
Karl-Michael M. Schebesch ◽  
Christian Doenitz ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Fiber Tracking ◽  
Diffusion Tensor Tractography ◽  
Resonance Imaging ◽  
Software Packages

Propriospinal myoclonus: Utility of magnetic resonance diffusion tensor imaging and fiber tracking

2007 ◽  
Vol 22 (10) ◽  
pp. 1506-1509 ◽  
Author(s):  
Emmanuel Roze ◽  
Emmanuelle Apartis ◽  
Marie Vidailhet ◽  
Valérie Cochen ◽  
Yara Beaugendre ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Fiber Tracking ◽  
Propriospinal Myoclonus

Tri-Linear Regulation of Diffusion Tensor Field for WM Fiber Tracking

2014 ◽  
Vol 998-999 ◽  
pp. 503-506
Author(s):  
Zhan Xiong Wu ◽  
Xun Li
Keyword(s):  
Magnetic Resonance ◽  
Tensor Field ◽  
Diffusion Tensor ◽  
Linear Interpolation ◽  
Fiber Tracking ◽  
Second Step ◽  
Magnetic Resonance Data ◽  
Resonance Data ◽  
Diffusion Tensor Field

In this paper we present a method for regulating diffusion tensor magnetic resonance (DT-MRI) data. The method is divided in two steps. First, decomposed diffusion tensor and found out the tensors whose eigenvalue was non-positive. The second step was to apply tri-linear interpolation to regularize the diffusion tensor field. We show that the process is a convenient framework to regulate DT-MR data. Both steps are illustrated on real diffusion tensor magnetic resonance data.

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