H.E. Cline, W.E. Lorensen, St.P. Souza, F.A. Jolesz, R. Kikinis, G. Gerig, and Th.E. Kennedy. 3D surface rendered MR images of the brain and its vasculature. Journal of Computer Assisted Tomography, 15(2):344--351, March 1991. Home/Search Document Not in Database Summary Related Articles Check |
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Three-Dimensional Reconstruction and Surgical.. - Chabrerie, Ozlen, .. (1998) (Correct)
....performed using one of the MR series (SPGR and MR angiogram) Imperfections in the 3D objects were corrected by manual editing. From these images, 3D models of the skin, brain, vessels, focal lesion and ventricles were reconstructed using the marching cubes algorithm and a surface rendering method [8 10]. These objects were then integrated and displayed on a computer workstation (Ultra 1; Sun Microsystems, Inc. with a graphic accelerator (Creator 3D; Sun Microsystems Inc. and 3D display software (LAVA; Sun Microsystems, Inc. Each object thus may be rendered partially or completely transparent ....
Cline HE, Lorensen WE, Souza SP, Jolesz FA, Kikinis R, Gerig G, Kennedy TE : 3D surface rendered MR images of the brain and its vasculature. Technical note J Comput Assist Tomogr 14: 344-351, 1991
Visualization of Vasculature from Volume Data - Ehricke, Donner, Koller, Straßer (1994) (4 citations) (Correct)
....the vascular dataset is preprocessed by a three dimensional noise suppression filter. After application of a number of directive Gaussian derivatives, the most adequate one is selected and connected component labeling performed. The segmented data is rendered with the marching cubes algorithm. In [5] the segmentation is performed by sophisticated image acquisition. A special MRA technique (Phase Contrast MRA) is applied, allowing almost complete suppression of background tissue, but increasing the acquisition time by a factor of four. The datasets are rendered with the dividing cubes method, ....
H.E. Cline, W.E. Lorensen, S.P. Souza, F.A. Jolesz, R. Kikinis, G. Gerig, and T.E. Kennedy. 3D surface rendered MR images of the brain and its vasculature. Journal of Computer Assisted Tomography 15(2), 344--351 (1991).
Compensation of spatial inhomogeneity in MRI based.. - Brechbühler.. (1996) Self-citation (Gerig) (Correct)
....an initial presegmented image. The only parameters are a set of expected class means and the standard deviation. Applications to various MR images illustrate the performance. 1 Introduction A major obstacle for segmentation by multiple thresholding or by multivariate statistical classification [1, 2, 3] is insufficient data quality. Beside corruption by noise, MR image data are often radiometrically inhomogeneous due to RF field deficiencies. This variability of tissue intensity values with respect to image location severely affects visual evaluation and also segmentation based on absolute pixel ....
H.E. Cline, W.E. Lorensen, St.P. Souza, F.A. Jolesz, R. Kikinis, G. Gerig, and Th.E. Kennedy. 3D surface rendered MR images of the brain and its vasculature. Journal of Computer Assisted Tomography, 15(2):344--351, March 1991.
Abnormal Angular Gyrus Asymmetry in Schizophrenia - Niznikiewicz, Donnino.. (2000) (Correct)
No context found.
Cline HE, Lorensen WE, Souza SP, Jolesz FA , Kikinis R, Gerig G, Kennedy TE: 3D surface rendered MR images of the brain and its vasculature. J Comput Assist Tomog r 1991; 15:344--351
Integration, Modeling and Visualization of Multimodal Data.. - Bergada, Pardell (1999) (Correct)
No context found.
H.C. Cline, W.E. Lorensen, S.P. Souza, F.A. Jolesz, R. Kikinis, G. Gerig, and T.E. Kennedy. 3d surface rendered mr images of brain and its vasculature. Journal of Computer Assited Tomography, 15(2):344--351, March/April 1991.
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