Anwendung der Diffusions-Tensor-Bildgebung in der Neurochirurgie

Knowledge about integrity and location of fibre tracts arising from eloquent cortical areas is important to plan neurosurgical interventions and to allow maximization of resection of pathological tissue while preserving vital white matter tracts. Diffusion Tensor Imaging (DTI) is so far the only method to get preoperatively an impression of the individual complexity of nerve bundles. Thereby nerve fibres are not mapped directly. They are derived indirectly by analysis of the directional distribution of diffusion of water molecules which is influenced mainly by large fibre tracts. From acquisition to reconstruction and visualisation of the fibre tracts many representational stages and working steps have to be passed. Exact knowledge about problems of Diffusion Imaging is important for interpretation of the results. Particularly, brain tumor edema, intraoperative brain shift, MR-artefacts and limitations of the mathematical models and algorithms challenge DTI-developers and applicants.

[1]  Jean-Philippe Thiran,et al.  DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection , 2003, NeuroImage.

[2]  A. Alexander,et al.  Diffusion tensor imaging of cerebral white matter: a pictorial review of physics, fiber tract anatomy, and tumor imaging patterns. , 2004, AJNR. American journal of neuroradiology.

[3]  A M Wyrwicz,et al.  Correction for EPI distortions using multi‐echo gradient‐echo imaging , 1999, Magnetic resonance in medicine.

[4]  Chris A Clark,et al.  White matter fiber tracking in patients with space-occupying lesions of the brain: a new technique for neurosurgical planning? , 2003, NeuroImage.

[5]  Usha Sinha,et al.  Geometric distortion correction of high‐resolution 3 T diffusion tensor brain images , 2005, Magnetic resonance in medicine.

[6]  Kensuke Kawai,et al.  Functional Monitoring for Visual Pathway Using Real-time Visual Evoked Potentials and Optic-radiation Tractography , 2005, Neurosurgery.

[7]  M. Kraut,et al.  Diffusion tensor MR imaging of the brain and white matter tractography. , 2002, AJR. American journal of roentgenology.

[8]  Christopher Nimsky,et al.  Intraoperative visualization of the pyramidal tract by diffusion-tensor-imaging-based fiber tracking , 2006, NeuroImage.

[9]  R Todd Constable,et al.  Image distortion correction in EPI: Comparison of field mapping with point spread function mapping , 2002, Magnetic resonance in medicine.

[10]  Toshiaki Taoka,et al.  Diffusion tensor imaging in cases with visual field defect after anterior temporal lobectomy. , 2005, AJNR. American journal of neuroradiology.

[11]  D. Le Bihan,et al.  Diffusion tensor imaging: Concepts and applications , 2001, Journal of magnetic resonance imaging : JMRI.

[12]  Geoffrey J M Parker,et al.  A framework for a streamline‐based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurements , 2003, Journal of magnetic resonance imaging : JMRI.

[13]  Susumu Mori,et al.  Fiber tracking: principles and strategies – a technical review , 2002, NMR in biomedicine.

[14]  G. Johnson,et al.  Peritumoral diffusion tensor imaging of high-grade gliomas and metastatic brain tumors. , 2003, AJNR. American journal of neuroradiology.

[15]  P. V. van Zijl,et al.  Three‐dimensional tracking of axonal projections in the brain by magnetic resonance imaging , 1999, Annals of neurology.

[16]  Giuseppetti Gian Marco,et al.  Screening US and CT for blunt abdominal trauma: a retrospective study. , 2005, European journal of radiology.

[17]  M Zaitsev,et al.  Point spread function mapping with parallel imaging techniques and high acceleration factors: Fast, robust, and flexible method for echo‐planar imaging distortion correction , 2004, Magnetic resonance in medicine.

[18]  G A Ojemann,et al.  Intraoperative brain mapping techniques in neuro-oncology. , 1992, Stereotactic and functional neurosurgery.

[19]  Wen Qin,et al.  Diffusion tensor tractography in patients with cerebral tumors: a helpful technique for neurosurgical planning and postoperative assessment. , 2005, European journal of radiology.

[20]  D. Tuch Q‐ball imaging , 2004, Magnetic resonance in medicine.

[21]  B W Kreher,et al.  Multitensor approach for analysis and tracking of complex fiber configurations , 2005, Magnetic resonance in medicine.

[22]  P. Basser,et al.  MR diffusion tensor spectroscopy and imaging. , 1994, Biophysical journal.

[23]  Khader M Hasan,et al.  Diffusion-tensor imaging of white matter tracts in patients with cerebral neoplasm. , 2002, Journal of neurosurgery.

[24]  Hangyi Jiang,et al.  DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking , 2006, Comput. Methods Programs Biomed..

[25]  M. Raichle,et al.  Tracking neuronal fiber pathways in the living human brain. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[26]  Kenji Ino,et al.  Combined use of tractography-integrated functional neuronavigation and direct fiber stimulation. , 2005, Journal of neurosurgery.

[27]  Manuel Lopes,et al.  Intraoperative mapping of the subcortical language pathways using direct stimulations. An anatomo-functional study. , 2002, Brain : a journal of neurology.