S. Nakajima and H. Atsumi and A. Bhalerao and F. Jolesz and R. Kikinis and T. Yoshimine and T. Moriarty and P. Stieg. Computer-assisted Surgical Planning for Cerebrovascular Neurosurgery. Neurosurgery, 41:403-409, 1997.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....vessel Fig. 1. MR CISS with dAVF in the area of the thoracic spine: left) Original saggital slice image (middle) zoomed saggital view showing target vessels within CSF and (right) zoomed coronal view. 3 Visualization In comparison to other approaches based on polygonal representations [4, 5], direct volume rendering has proved to be superior for the comprehensive and meaningful visualization of tomographic data [6, 7] Additionally, the combination of interactive manipulation and resulting images of high quality are indispensible for clinical application [8, 9] As presented ....

S. Nakajima, H. Atsumi, A. Bhalerao, F. Jolesz, R. Kikinis, T. Yoshimine, T. Moriarty, and P. Stieg. Computer-assisted Surgical Planning for Cerebrovascular Neurosurgery. Neurosurgery, 41:403--409, 1997.

....practical for low grade gliomas and meningiomas. Key words: Brain neoplasms, Magnetic resonance (MR) Computer assisted neurosurgery, Image segmentation 1 Introduction Computer assisted surgical planning and advanced image guided technology have become 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, ....

.... 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 ....

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Nakajima S, Atsumi H, Bhalerao AH, et al. Computer-assisted surgical planning for cerebrovascular neurosurgery. Neurosurgery 1997; 41:403-409.

....for the investigation of tomographic data resulting from CT and MR scanners. This requires both a 2D analysis to realize the local information within single slice images and a 3D representation conveying the spatial information of lesions and related structures. Compared to indirect strategies [7] which rely on polygonal models, direct volume rendering has proved to be superior in this context [5] It integrates all the available information and provides implicit segmentation of the image data using transfer functions which assign color and opacity to all data values. This avoids ....

S. Nakajima, H. Atsumi, A. Bhalerao, F. Jolesz, R. Kikinis, T. Yoshimine, T. Moriarty, and P. Stieg. Computer-assisted Surgical Planning for Cerebrovascular Neurosurgery. Neurosurgery, 41:403--409, 1997.

....vessel Fig. 1. MR CISS with dAVF in the area of the thoracic spine: left) Original saggital slice image (middle) zoomed saggital view showing target vessels within CSF and (right) zoomed coronal view. 3 Visualization In comparison to other approaches based on polygonal representations [4, 5], direct volume rendering has proved to be superior for the comprehensive and meaningful visualization of tomographic data [6, 7] Additionally, the combination of interactive manipulation and resulting images of high quality are indispensible for clinical application [8, 9] As presented ....

S. Nakajima, H. Atsumi, A. Bhalerao, F. Jolesz, R. Kikinis, T. Yoshimine, T. Moriarty, and P. Stieg. Computer-assisted Surgical Planning for Cerebrovascular Neurosurgery. Neurosurgery, 41:403--409, 1997.

....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 ....

S. Nakajima, H. Atsumi, A. Bhalerao, F. Jolesz, R. Kikinis, T. Yoshimine, T. Moriarty, and P. Stieg. Computer-assisted Surgical Planning for Cerebrovascular Neurosurgery. Neurosurgery, 41:403--409, 1997.

....of 3 Gamma 11 mm are reproduced with similar quality. However, in case of MRA it is still difficult to delineate the neck and small arterial branches due to the nature of the resulting images. Above all, a meaningful visualization requires several hours of pre processing, as presented in [3]. Therefore, as proposed in [4] we use CTA which provides the highest sensitivity for lesions of arbitrary size including small ( 3 mm) and large ( 11 mm) aneurysms. Since it is difficult to integrate the information of tomographic slice images to a correct 3D model, reconstruction is ....

....itself as one of the most popular visualization techniques. However, using only the highest gray value along every ray of sight, it prohibits to distinguish overlapping vessels clearly and to see intra vascular abnormalities. Alternatively, techniques of surface rendering became very popular [3, 5] which allow to compute images interactively based on an intermediate geometric model. However, its calculation requires time intensive segmentation which must be repeated for every correction of the result. In order to overcome these limitations, we suggest direct volume rendering which uses the ....

S. Nakajima, H. Atsumi, A. Bhalerao, F. Jolesz, R. Kikinis, T. Yoshimine, T. Moriarty, and P. Stieg. Computer-assisted Surgical Planning for Cerebrovascular Neurosurgery. Neurosurgery, 41:403--409, 1997.

....in frameless stereotactic navigation, as the ultimate miniaturization of that external reference system [22, 23] Through stereotaxy [19, 20, 23] computers have been introduced into neurosurgical procedures. Between1986and 1995, several groups developed so called frameless stereotactic systems [11, 24 36]. These systems provide the surgeon and patient with precise guidance without the obstruction and discomfort of frame application [23, 37] improving neurosurgical efficiency and surgical technique. The major shortcoming of both frame based and frameless stereotactic systems is their use of ....

.... of the presurgical data (image space) to the patient (physical space) in surgery [30] With computer assisted navigational tools, the patient s anatomy can be visualized as 2D or 3D representations in relationship to the position of tracked, hand held instruments within the surgical field [11, 24 36]. 6 A. NABAVI et al. FIGURE 2 Multimodal image information (graphical user interface of the 3D Slicer [15, 16] Image fusion using the presurgical structural MRI, MR Angiography and SPECT (Thallium and Technetium) The image shows a cutaway of the skin model. The cut planes are the reformatted ....

Nakajima, S., Atsumi, H., Bhalerao, A. H., Jolesz, F. A., Kikinis, R., Yoshimine, T., Moriarty, T. M. and Stieg, P. E. (1997). Computer-assisted surgical planning for cerebrovascular neurosurgery, Neurosurgery, 41, 403 -- 9; discussion 409 -- 10.

....and strips include X ray films [1] which in turn do not allow proper assessment of the underlying soft tissue. We have developed the routine use of 3D reconstructions in surgical navigation for seizure focus removal in epilepsy surgery. Pre operatively, the 3D model is used for surgical planning [30, 16, 17], facilitating the evaluation of the sur gical approach. Intraoperatively, this system enables recording of the subdural grid and strip electrodes directly on the 3D model, providing an intuitive way to visualize the electrodes which can easily be translated into the surgical field. The fusion of ....

Nakajima S, Atsumi H, Bhalerao AH, Computer assisted surgical planning for cerebrovascular neurosurgery. Neurosurgery 41:403-409, 1997

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S. Nakajima and H. Atsumi and A. Bhalerao and F. Jolesz and R. Kikinis and T. Yoshimine and T. Moriarty and P. Stieg. Computer-assisted Surgical Planning for Cerebrovascular Neurosurgery. Neurosurgery, 41:403-409, 1997.

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Nakajima S, Atsumi H, Bhalerao AH, et al. Computer-assisted surgical planning for cerebrovascular neurosurgery. Neurosurgery 1997; 41:403--409.

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