A.C. Evans, C. Beil, S. Marrett,C.J. Thompson and A. Hakin, Anatomical-functional Correlation Using an Adjustable MRIbased Region of Interest Atlas with Positron Emission Tomography, Journal of Cerebral Blood Flow and Metabolism, vol. 8, 1988, pp. 513--530.  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... and magnetic resonance imaging (MRI) 13] 16] Suitable atlases support neuromorphometric analyzes [17] with both colocalization and neuromorphometric analysis requiring the availability of volumetric image data with large numbers of voxel samples, such as that provided by CT or MRI [9] 18] [21]. The most straightforward methods of registration assume that the images or tissues being matched are highly similar for which the variability of only global course features are accommodated via affine transformations [11] 21] 22] We, however, are interested in accounting for very local ....

.... of voxel samples, such as that provided by CT or MRI [9] 18] 21] The most straightforward methods of registration assume that the images or tissues being matched are highly similar for which the variability of only global course features are accommodated via affine transformations [11] [21], 22] We, however, are interested in accounting for very local variability across disparate anatomies, thereby requiring high dimensional transformations on the coordinate system, the dimension of which are proportional to the number of voxels in the volume. A number of investigators have taken ....

A. C. Evans, C. Beil, S. Marret, C. J. Thompson, and A. Hakim, "Anatomical-functional correlation using an adjustable MRI-based region of interest atlas with positron emission tomography," J. Cereb. Blood Flow, Metab., vol. 8, pp. 513--530, 1988.

....image segmentation is first necessary in order to obtain landmarks. RR n2453 4 Gr egoire Malandain , Sara Fern andez Vidal et Jean Marie Rocchisani Markers have been widely used: external points on a stereotaxic frame or customized head holder which can be viewed in several modalities [17, 45, 49, 68, 73, 76], or internal landmarks (distinguished anatomical points, such as blood vessel bifurcations [31] The transformation parameters are then computed by a conventional method (for instance, least squares method) However, external markers force the patient to carry a stereotaxic frame between ....

A.C. Evans, C. Beil, S. Marret, C.J. Thompson, and A. Hakim. Anatomicalfunctional correlation using an adjustable MRI-based region of interest atlas with positron emission tomography. Journal of Cerebral Blood Flow Metabolism, 8:513--529, 1988.

....which case the registration is really just calibration. Fiducial chemical markers are widely used in medical imaging; these are identifiable structures placed in known positions, such as plastic N shaped tubing filled with CuSO 4 placed strategically for magnetic resonance imaging (MRI) systems [Evans 88] or stereotactic coordinate frames that identify three dimensional coordinates for positron emission tomography (PET) Bergstrom 81, Bohm 83, Bohm 88, Fox 85] Although 25 intrinsic control points are preferable for obvious reasons, there are not always intrinsic points that can be used. For ....

A. C. Evans, C. Beil, S. Marrett, C. J. Thompson, and A. Hakim, "Anatomical-Functional Correlation Using an Adjustable MRI-Based Region of Interest Atlas with Positron Emission Tomography," Journal of Cerebral Blood Flow and Metabolism 8, 1988, pp513-530.

....to others images. As voxel intensity is obviously not invariant between images of different modalities, a first segmentation of images is necessary in order to obtain landmarks. External markers (points on a stereotaxic frame or customized head holder which can be viewed in several modalities [13, 26, 35, 36]) or internal landmarks (some particular anatomical points, like blood vessel bifurcations [18] have been widely studied. The transformation parameters are then computed by a classical method (for example, a least square method) Each method has its own disadvantages. External markers need the ....

A.C. Evans, C. Beil, S. Marret, C.J. Thompson, and A. Hakim. Anatomical-functional correlation using an adjustable mri-based region of interest atlas with positron emission tomography. Journal of Cerebral Blood flow Metabolism, 8:513--529, 1988.

....anatomy is essential [47] ROI methods, pixel by pixel and pixel clustering are used in analyses which associate the functional data with anatomical regions. ROIs can be used in this second sort of analysis by developing an ROI atlas which outlines areas corresponding to different brain structures [1, 3, 18, 19]. This approach requires that the PET data be registered onto the atlas in some way that ensures the accuracy of the fit. Differences in brain shape and size, and the fact that PET data contains no anatomical information makes this registration problem a difficult one [39] Most registration ....

....of neuroanatomical significance, for instance in epilepsy studies or functional brain mapping, the regions are selected in some way which is intended to correspond to anatomy. They may be placed by hand onto the slices [11, 41] time consuming, as mentioned before) or by mapping onto an ROI atlas [1, 3, 18]. If an ROI atlas is used, the time consuming step is in the registration of the image to the atlas (or vice versa) If great care is taken with the Chapter 2: Common Methods of Functional Analysis 13 patient positioning at scan time, this step can be simplified. A further step has been taken ....

A.C. Evans, C. Beil, S. Marrett, C.J. Thompson, and A. Hakim. Anatomicalfunctional correlation using an adjustable MRI-based region of interest atlas with positron emission tomography. Journal of Cerebral Blood Flow and Metabolism, 8(4):513--530, 1988.

....the use of that approach. A number of groups have developed registration techniques using nonlinear transformations. Evans et al. constructed a three dimensional computerized brain atlas by manually contouring 60 structures in each hemisphere on all slices of a high resolution MR image volume [43, 44, 47, 139]. The contours for each structure were converted into a closed polyhedron using a tiling algorithm [28] The atlas is deformed to fit the image data by interactive specification of homologous points in the atlas space and the image volume. The deformation is performed either with a global affine ....

A. C. Evans, C. Beil, S. Marrett, C. J. Thompson, and A. Hakim. Anatomicalfunctional correlation using an adjustable MRI-based region of interest atlas with positron emission tomography. J. Cereb. Blood Flow Metab., 8:513--530, 1988.

....given application. For the atlas problem, however, there are additional differences in the local morphology of the brain that must be addressed. One effective approach has been to involve expert interaction in the definition of homologous landmarks, from which non rigid mappings can be inferred [4, 5]. Although these mappings can model localized variations, they do so only within those regions which surround the landmarks. The recovery of local structural differences between two brain images throughout the entire volume of the brain was first studied by Broit [6] In his approach, the anatomy ....

A. C. Evans, C. Beil, S. Marrett, C. J. Thompson, and A. Hakim, "Anatomical-functional correlation using an adjustable MRI-based region of interest atlas with positron emission tomography," J Cereb Blood Flow Metab, vol. 8, pp. 513--530, 1988.

....and local morphology of the brain among normal individuals. The goal of our work is to ameliorate the localization of anatomical structures by developing fully automated methods based on the use of a labeled atlas. An early survey of atlas based methods for cerebral localization can be found in [1], in which advantages unique to the approach are discussed. The fundamental assumption of these methods is that the topology of cerebral structures is invariant among normal individuals. To the degree that this assumption holds, the localization problem can be solved by determining the mapping ....

Evans AC, Beil C, Marrett S, Thompson CJ, Hakim A. Anatomical-functional correlation using an adjustable MRI-based region of interest atlas with positron emission tomography. J Cereb Blood Flow Metab 1988;8:513--530.

....1 This work was supported by the U.S.P.H.S. under Program Project Grant NS 14867 18. 2 To appear in Journal of Computer Assisted Tomography. 1 Introduction The quantitative analysis of cerebral images with the aid of a computerized anatomical atlas is under study by different investigators [1 6]. The aim is to improve the accuracy, objectivity, and reproducibility of anatomical localization in anatomical (X ray computed tomography CT or magnetic resonance imaging MRI) and functional (positron emission tomography PET) images that are difficult to interpret due to inadequate image ....

Evans AC, Beil C, Marrett S, Thompson CJ, Hakim A. Anatomical-Functional Correlation Using an Adjustable MRI-Based Region of Interest Atlas with Positron Emission Tomography. J Cereb Blood Flow Metab 1988;8(4):513--30.

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A.C. Evans, C. Beil, S. Marrett,C.J. Thompson and A. Hakin, Anatomical-functional Correlation Using an Adjustable MRIbased Region of Interest Atlas with Positron Emission Tomography, Journal of Cerebral Blood Flow and Metabolism, vol. 8, 1988, pp. 513--530.

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A.C. Evans, C. Beil, S. Marret, C.J. Thompson, and A. Hakim. Anatomicalfunctional correlation using an adjustable MRI-based region of interest atlas with positron emission tomography. Journal of Cerebral Blood Flow Metabolism, 8:513--529, 1988.

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Evans, A. C., Beil, C., Marrett, S., Thomason, C. J., and Hakim, A. (1988). Anatomicalfunctional correlation using an adjustable MRI-based region of interest atlas with positron emission tomography. Journal of Cerebral Blood Flow and metabolism, 8(4):513--530. PMID: 3260594.

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A. C. Evans, C. Beil, S. Marret, C. J. Thompson, and A. Hakim, "Anatomical-functional correlation using an adjustable MRI-based region of interest atlas with positron emission tomography," J. Cereb. Blood Flow Metab., vol. 8, pp. 513--530, 1988.

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A.C. Evans, C. Beil, S. Marret, C.J. Thompson, and A. Hakim. Anatomical-functional correlation using an adjustable mri-based region of interest atlas with positron emission tomography. Journal of Cerebral Blood Flow and Metabolism, 8:513--530, 1988.

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A. C. Evans, C. Beil, S. Marret, C. J. Thompson, and A. Hakim, "Anatomical-functional correlation using an adjustable MRI-based region of interest atlas with positron emission tomography," J. Cereb. Blood Flow and Metabolism, vol. 8, pp. 513--530, 1988.

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