Kikinis, R., Gleason, P. L., Moriarty, T. M., Moore, M. R., Alexander, E., 3rd, Stieg, P. E., Matsumae, M., Lorensen, W. E., Cline, H. E., Black, P. M. and Jolesz, F. A. (1996). Computer-assisted interactive three-dimensional planning for neurosurgical procedures, Neurosurgery, 38, 640 -- 9; discussion 649 -- 51.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....monitor during surgery. The position of the LED probe is simultaneously displayed on the 3D model (white arrow) The position on the corresponding MRI splices is displayed in the axial, sagittal and coronal planes. The subdural electrodes are shown as black spheres. data for surgical planning [5] and intraoperative navigation. We have recently developed a novel neurosurgical navigator in which medical image registration and instrument tracking automatically establishes correspondence between the medical images from MRI scans, the three dimensional model and the actual patient environment ....

Kikinis R, Gleason PL, Moriarty TM, Moore MR, Alexander E III, Stieg PE, Matsumae M, Lorensen WE, Cline HE, Black PM, Jolesz FA. Computer-assisted interactive three-dimensional planning for neurosurgical procedures. Neurosurgery 38:640-651, 1996

....the manipulative capabilities of common input devices such as the 2D mouse and keyboards do not match the volumetric manipulation. Moreover, the possibilities of 3D interaction go beyond what is practical using the mouse. Great progress has been made in planning neurosurgery (see for example [6]) There are several commercially available packages that support neurosurgical patient specific planning (pre and intra operative) using 3D views: e.g, Elekta s SurgiPlan, Radionics Stereoplan, BrainLAB s BrainMAP 3D, Philips EasyVision CT MR and VolumeView CT MR, Leibinger s STP [12] All ....

Kikinis, R., Gleason, P.L., Moriarty, T.M., Moore, M.R., Alexander, E., Stieg, P.E., Matsumae, M., Lorensen, W.E., Cline, H.E., Black, P., and Jolesz, F.A.: Computer Assisted Interactive Three-Dimensional Planning for Neurosurgical Procedures. Neurosurgery, 38 (4) (1996) 640-651.

....data is typically based on the inspection of single slice images. Since it is difficult to mentally reconstruct the available information to a correct model, volume visualization assists the understanding of complex vessel topology considerably. Other approaches which have been presented [2, 3, 4, 5] for the diagnosis of cerebrovascular diseases and the planning of neurosurgery rely on polygonal representations of the structures. However, this requires time intensive initial segmentation of the data. Contrary to that, direct volume rendering proved to be a better approach [6] Applying ....

R. Kikinis, P. Gleason, T. Moriarty, M. Moore, E. Alexander III., P. Stieg, M. Matsumae, W. Lorensen, H. Cline, P. Black, and F. Jolesz. Computer Assisted Interactive Three-Dimensional Planning for Neurosurgical Procedures. Neurosurgery, 38:640--651, 1996.

....and c 3 = others , given MR images (SPGR) of the brain. The aim is the visualization of vessels with surrounding structures because understanding the vessel structures is important not only as for avoiding the damage to vessels but also as landmarks in neurosurgical planning and navigation [13], 14] The vessels and the skin have higher MR values than other tissues and they have similar values in SPGR images when the contrast medium is injected to enhance the tumor. The original MR values can be used for the classification of the vessels and skin , and other tissues. The similarity ....

R.Kikinis, P.L. Gleason, T.M. Moriarty, et al.: Computerassisted Interactive Three-dimensional Planning for Neurosurgical Procedures, Nerurosurgery, Vol.38, pp.640-651 (1996).

....protocol, which includes a 3D SPGR (spoiled gradient echo) volumetric MRI acquisition (124 slices 1.5 mm) and phase contrast MR angiography. These acquisitions are used to identify and segment the relevant anatomic structures and to render a 3D surface representation of the patient s pathology [7]. A standard model includes the patient s skin, brain, cerebral ventricles and vessels, as well as the lesion [4, 5, 7, 72] see Fig. 1) Imaging modalities representing various anatomical, CT, MRI: T1 w, T2, SPGR, proton density, diffusion weighted, and phase contrast MR angiography) and ....

....phase contrast MR angiography. These acquisitions are used to identify and segment the relevant anatomic structures and to render a 3D surface representation of the patient s pathology [7] A standard model includes the patient s skin, brain, cerebral ventricles and vessels, as well as the lesion [4, 5, 7, 72] (see Fig. 1) Imaging modalities representing various anatomical, CT, MRI: T1 w, T2, SPGR, proton density, diffusion weighted, and phase contrast MR angiography) and physiological as well as pathological (SPECT: Single Photon Emission Tomography; PET: Positron Emission Tomography; fMRI: ....

Kikinis, R., Gleason, P. L., Moriarty, T. M., Moore, M. R., Alexander, E., 3rd, Stieg, P. E., Matsumae, M., Lorensen, W. E., Cline, H. E., Black, P. M. and Jolesz, F. A. (1996). Computer-assisted interactive three-dimensional planning for neurosurgical procedures, Neurosurgery, 38, 640 -- 9; discussion 649 -- 51.

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Kikinis R, Gleason PL, Moriarty TM, et al. Computer assisted interactive three-dimensional planning for neurosurgical procedures. Neurosurgery 1996; 38:640 -- 651.

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Kikinis R, Gleason L, Moriarty TM. 1996. Computer-assisted Interactive Three-dimensional Planning for Neurosurgical Procedures. Neurosurg. 38(4):640-649.

.... increasingly utilized in neurosurgery [1, 2, 3, 4, 5] The availability of accurate anatomical three dimensional (3D) models significantly improves spatial information concerning relationships of critical structures (e.g. functionally significant cortical areas, vascular structures) and pathology [6, 3, 4]. In daily clinical practice, however, commercially available intraoperative navigational systems only provide the surgeon with 2D cross sections of the intensity value images and a 3D model of the skin. The main limiting factor in the 1 of 14 2 20 2001 12:24 PM Automated Segmentation of MRI of ....

.... in the 1 of 14 2 20 2001 12:24 PM Automated Segmentation of MRI of Brain Tumors file: Tommy bigweekly marianna kaus.html routine use of 3D models to identify (segment) important structures is the amount of time and effort that a trained operator has to spend on the preparation of the data [3, 6]. The development of automated segmentation methods has the potential to significantly reduce the time for this process and make such methods practical. Although 2D images accurately describe the size and location of anatomical objects, the process of generating 3D views to visualize structural ....

[Article contains additional citation context not shown here]

Kikinis R, Gleason PL, Moriarty TM, et al. Computer assisted interactive three-dimensional planning for neurosurgical procedures. Neurosurgery 1996; 38(4):640-651.

.... (Figure 7) The tumor was, however, evident with good contrast in a T2weighted acquisition (see Figure 10) These two scans were registered using the method described above in order to facilitate the construction of 3D models of the anatomy and pathology for surgical planning and visualization (Kikinis, Gleason et al. 1996). The original SPGR MR images were 1.5mm thick sagittal images, and the original T2 weighted MR images were 5.0mm thick, 1.0mm spacing axial images. The results of the registration are illustrated in Figure 8. After registration, the T2 weighted images were reformatted into the lattice of the ....

Kikinis, R., Gleason, P., et al. (1996). Computer assisted interactive three-dimensional planning for neurosurgical procedures. Neurosurgery. in press.

.... (Figure 7) The tumor was, however, evident with good contrast in a T2weighted acquisition (see Figure 10) These two scans were registered using the method described above in order to facilitate the construction of 3D models of the anatomy and pathology for surgical planning and visualization (Kikinis, Gleason et al. 1996). The original SPGR MR images were 1.5mm thick sagittal images, and the original T2 weighted MR images were 5.0mm thick, 1.0mm spacing axial images. The results of the registration are illustrated in Figure 8. After registration, the T2 weighted images were reformatted into the lattice of the SPGR ....

Kikinis, R., Gleason, P., et al. (1996). Computer assisted interactive three-dimensional planning for neurosurgical procedures. Neurosurgery. in press.

....Medical School and Brigham and Women s Hospital. 1 Introduction The human body contains various types of curvilinear structures blood vessels, bronchial trees, bile ducts, etc. whose visualization is crucial for the planning of and navigation during interventional therapy and biopsy [1, 2], as well as for diagnostic purpose. There has been a considerable amount of work on the enhancement and extraction of curvilinear structures from 3D medical images, most of which has focused on the extraction of a specific anatomical structure from a specific imaging modality for example, ....

....of stenoses and aneurysms. There is a strong need for a means of imaging vascular and other curvilinear anatomical structures with 3D information and good image quality. These two requirements are especially crucial in the planning for and navigation during interventional therapy and biopsy [1, 2], in which the recovery of 3D information is essential and the recovered structures should be as detailed as possible not only because the curvilinear structures are themselves critical, but also because they are used as a road map or landmarks for both planning and navigation. One method of ....

[Article contains additional citation context not shown here]

R.Kikinis, P.L. Gleason, T.M. Moriarty, et al.: Computer-assisted interactive three-dimensional planning for neurosurgical procedures, Neurosurgery, Vol.38, pp.640-651 (1996).

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