Anatomically Guided Neuronavigation: First Experience with the SulcusEditor

Summary Our first clinical experience with the SulcusEditor (SE) in neurosurgical patients with tumors in eloquent regions of the brain are reported. The SE is a software tool for the interactive delineation of the cerebral sulcal pattern in 3 D FLASH MRI data sets. The method has been implemented on RI C workstations under UNIX using an X-Window interface ba ed on the OSF-MOTIF Toolkit. The anatomical definition of sulci is supported by a three-plane display with linked cursor move­ ments. Thus problems in the definition of sulci tangent to the section plane are eliminated. The outcome of the segmentation procedure may then be passed to customary rendering software for 3 D visualization. So far the MRI data of 24 patients with tumors in eloquent regions of the brain have been subjected to the labelling procedure. Digi­ tization of 10 -12 sulci was considered sufficient for neurosurgical planning. Logistic requirements - the results of the SE analysis had to be made a available to the neurosurgeons preoperatively within a 48-h period after the MR acquisition could be fulfllied in more than 70 % of cases. Labelling takes approximately 4 h, the bidirectio­ nal data transfer in a heterogeneous clinical net­ work 2 h. Future developments will comprise improvements of the user interface as well as the intraoperative availability of the results.

[1]  B. Everitt,et al.  Computerized Brain Tissue Classification of Magnetic Resonance Images: A New Approach to the Problem of Partial Volume Artifact , 1995, NeuroImage.

[2]  Yoshiyasu Takefuji,et al.  Optimization neural networks for the segmentation of magnetic resonance images , 1992, IEEE Trans. Medical Imaging.

[3]  L O Hall,et al.  Review of MR image segmentation techniques using pattern recognition. , 1993, Medical physics.

[4]  R P Velthuizen,et al.  MRI segmentation: methods and applications. , 1995, Magnetic resonance imaging.

[5]  W. Eric L. Grimson,et al.  Adaptive Segmentation of MRI Data , 1995, CVRMed.

[6]  Christos Davatzikos,et al.  Using a deformable surface model to obtain a shape representation of the cortex , 1996, IEEE Trans. Medical Imaging.

[7]  J. Valk,et al.  Referentially oriented cerebral MRI anatomy , 1994 .

[8]  Robert M. Kessler,et al.  Accurate localization of cortical convolutions in MR brain images , 1996, IEEE Trans. Medical Imaging.

[9]  A. Galaburda,et al.  Topographical variation of the human primary cortices: implications for neuroimaging, brain mapping, and neurobiology. , 1993, Cerebral cortex.

[10]  H. Duvernoy.  The Human Brain , 1999, Springer Vienna.

[11]  P Adriaensens,et al.  High field magnetic resonance imaging of normal and pathologic human medulla oblongata , 1994, The Anatomical record.

[12]  Guido Gerig,et al.  Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models , 1996, Medical Image Anal..

[13]  K. Niemann,et al.  The talairach proportional grid concept revisited , 1996, NeuroImage.

[14]  E M Haacke,et al.  MR artifacts: a review. , 1986, AJR. American journal of roentgenology.

[15]  小野 道夫,et al.  Atlas of the Cerebral Sulci , 1990 .

[16]  M D Solsberg,et al.  MR imaging of the excised human brainstem: a correlative neuroanatomic study. , 1990, AJNR. American journal of neuroradiology.

[17]  J. Talairach,et al.  Referentially oriented cerebral MRI anatomy : an atlas of stereotaxic anatomical correlations for gray and white matter , 1993 .

[18]  A. Valavanis,et al.  Anatomic relationships along the low-middle convexity: Part I--Normal specimens and magnetic resonance imaging. , 1995, Neurosurgery.

[19]  R. Kikinis,et al.  Computer-assisted interactive three-dimensional planning for neurosurgical procedures. , 1996, Neurosurgery.

[20]  C. Economo,et al.  Die Cytoarchitektonik der Hirnrinde des erwachsenen Menschen , 1925 .

[21]  Max A. Viergever,et al.  Probabilistic Hyperstack Segmentation of MR Brain Data , 1995, CVRMed.

[22]  A.P. Dhawan,et al.  Three-dimensional anatomical model-based segmentation of MR brain images through principal axes registration , 1995, IEEE Transactions on Biomedical Engineering.

[23]  M. LeMay,et al.  Computed tomographic localization of the precentral gyrus. , 1980, Radiology.

[24]  Arthur W. Toga,et al.  A Probabilistic Atlas of the Human Brain: Theory and Rationale for Its Development The International Consortium for Brain Mapping (ICBM) , 1995, NeuroImage.

[25]  W. A. Hanson,et al.  Interactive 3D segmentation of MRI and CT volumes using morphological operations. , 1992, Journal of computer assisted tomography.

[26]  R. Kikinis,et al.  Three-dimensional segmentation of MR images of the head using probability and connectivity. , 1990, Journal of computer assisted tomography.

[27]  C. Hardy,et al.  A review of 1H nuclear magnetic resonance relaxation in pathology: are T1 and T2 diagnostic? , 1987, Medical physics.

[28]  K. N. N. Leibovic,et al.  Science of Vision , 1990, Springer New York.

[29]  Fred L. Bookstein,et al.  Morphometric Tools for Landmark Data. , 1998 .

[30]  Richard J. Evans,et al.  Development and preliminary evaluation of VISLAN, a surgical planning and guidance system using intra-operative video imaging , 1996, Medical Image Anal..

[31]  K. Zilles,et al.  Human brain atlas: For high‐resolution functional and anatomical mapping , 1994, Human brain mapping.

[32]  Deborah Walters,et al.  Computer Vision Analysis of Boundary Images , 1990 .

[33]  E. Cabanis,et al.  The Human Brain: Surface, Three-Dimensional Sectional Anatomy and Mri , 1991 .

[34]  Gustaf Retzius,et al.  Das Menschenhirn : Studien in der Makroskopischen Morphologie , 1896 .

[35]  T. Hammeke,et al.  Functional magnetic resonance imaging mapping of the motor cortex in patients with cerebral tumors. , 1996, Neurosurgery.

[36]  K. Niemann,et al.  Terminology of the Thalamus and its Representation in a Part-Whole Relation , 1994, Methods of Information in Medicine.

[37]  Oscar. Eberstaller,et al.  Das Stirnhirn : ein Beitrag zur Anatomie der Oberfläche des Grosshirns , 1890 .

[38]  Isabelle Bloch,et al.  Automatic construction of an attributed relational graph representing the cortex topography using homotopic transformations , 1994, Optics & Photonics.

[39]  Milan Sonka,et al.  Knowledge-based interpretation of MR brain images , 1996, IEEE Trans. Medical Imaging.

[40]  R. Bajcsy,et al.  A computerized system for the elastic matching of deformed radiographic images to idealized atlas images. , 1983, Journal of computer assisted tomography.

[41]  William E. Lorensen,et al.  Computer-assisted Interactive Three-dimensional Planning Neurosurgical Procedures , 1996 .

[42]  Hamid Soltanian-Zadeh,et al.  A comparative analysis of several transformations for enhancement and segmentation of magnetic resonance image scene sequences , 1992, IEEE Trans. Medical Imaging.