Singh, M., Frei, W., Shibata, T., and Huth, G. C. (1979). A digital technique for accurate change detection in nuclear medical images --- with application to myocardial perfusion studies using thallium-201. IEEE Transactions on Nuclear Science, NS-26(1):565--575.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....were proposed for the solution of this organ registration problem. These include, among many others, approximated leastsquares fit between a small number of markers [41] 42] singular value decomposition for matching point pairs [28] 45] high order polynomials for a least squares fit [56] [76], thin plate spline for registering intrinsic landmarks [16] or extrinsic markers [15] parametric correspondence [22] 70] chamfer maps [7] 17] 26] 46] 50] partial contour matching [68] moments and principal axes matching [3] 37] 38] 58] 82] and correlation functions [6] ....

M. Singh, W. Frei, T. Shibata, G.C. Huth, and N.E. Telfer, "A Digital Technique for Accurate Change Detection in Nuclear Medical Images---With Application to Myocardial Perfusion Studies Using Thallium-201," IEEE Trans. Nuclear Sciences, vol. 26, pp. 565-575, 1979.

....This research aims to improve the state of automated brain image registration by introducing the use of a length preserving active contour algorithm and two new nonlinear registration algorithms. Various techniques for image registration have been proposed; most of these are based on linear [5] [8] or higher order interpolation [9, 10, 11] These methods depend on a sufficiently large number of landmark points or external markers, which is cumbersome for routine use. Methods based on similarity criteria have also been proposed [12] 17] but they require a good initial registration in ....

....24] the authors have studied some of the properties of low degree polynomial transformations and have suggested ways of choosing the landmark points. The linear transformation, a special case of (1) obtained by setting n = 1, has been used extensively in intra subject registration problems. In [5, 6, 1, 11, 9, 25] a set of landmark points is provided either manually or by external markers, and the linear transformation that optimally matches them is obtained through (2) Alternatively, the coefficients of the linear transformation can be determined automatically from the given images without human ....

M. Singh, W. Frei, T. Shibata, G.C. Huth, and N.E. Telfer. A digital technique for accurate change detection in nuclear medical images with application to myocardial perfusion studies using Thallium-201. IEEE Transactions on Nuclear Science, 26:565--572, 1979.

....were proposed for the solution of this organ registration problem. These include, among many others, approximated leastsquares fit between a small number of markers [41] 42] singular value decomposition for matching point pairs [28] 45] high order polynomials for a least squares fit [56] [76], thin plate spline for registering intrinsic landmarks [16] or extrinsic markers [15] parametric correspondence [22] 70] chamfer maps [7] 17] 26] 46] 50] partial contour matching [68] moments and principal axes matching [3] 37] 38] 58] 82] and correlation functions [6] ....

M. Singh, W. Frei, T. Shibata, G.C. Huth, and N.E. Telfer, "A Digital Technique for Accurate Change Detection in Nuclear Medical Images---With Application to Myocardial Perfusion Studies Using Thallium-201," IEEE Trans. Nuclear Sciences, vol. 26, pp. 565-575, 1979.

....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 example, precisely placing markers internally is not always possible in diagnostic images[Singh 79] Control points that are extrinsic, are determined from the data, either manually or automatically. Manual control points, i.e. points recognized by human intervention, such as identifiable landmarks or anatomical structures, have several advantages. Points can be selected which are known to ....

M. Singh, W. Frei, T. Shibata G. C. Huth and N. E. Telfer, "A Digital Technique for Accurate Change Detection in Nuclear Medical Images - with application to Myocardial Perfusion Studies using 58 Thallium-201," IEEE Trans. on Nuclear Science NS-26, No. 1 February 1979.

....surveys [59, 82, 101, 107, 108] 17 Point Methods Point methods involve the determination of the coordinates of corresponding points in different images and or physical space and the estimation of the geometric transformation using these corresponding points. The points may be either intrinsic [16, 45, 49, 55, 79, 86, 87, 88, 111, 119, 124, 133, 134, 139, 171], extrinsic [3, 14, 30, 47, 49, 56, 58, 60, 79, 80, 81, 105, 114, 116, 135, 136, 149, 151, 163, 164, 178, 188, 189, 190, 198] or a combination of both [117, 118] Intrinsic points are derived from patient specific image properties, e.g. anatomical landmark points. Extrinsic points are derived from ....

....intrinsic fiducials, with 2 mm slice thickness image volumes [45, 47, 136] Some point methods use polynomial warping functions to register images of deformable anatomy such as the abdomen and chest. Polynomial functions have been used to register serial myocardial perfusion projection images [171], pulmonary ventilation and perfusion projection images prior to subtraction [111] and CT and or MR images with SPECT images of the abdomen [16, 117, 118, 119, 133, 134] Other investigators have used intrinsic points to map atlases to images (see Atlas Methods section) 20 Curve and Surface ....

M. Singh, W. Frei, T. Shibata, G. H. Huth, and N. E. Telfer. A digital technique for accurate change detection in nuclear medicine images: With application to myocardial perfusion studies using thallium-201. IEEE Trans. Nucl. Sci., 26:565--575, 1979.

....were proposed for the solution of this organ registration problem. These include, among many others, approximated least squares fit between a small number of markers [41, 42] singular value decomposition for matching point pairs [28, 45] high order polynomials for a least squares fit [56, 76], thin plate spline for registering intrinsic landmarks [16] or extrinsic markers [15] parametric correspondence [22, 70] chamfer maps [7, 17, 26, 46, 50] partial contour matching [68] moments and principal axes matching [3, 37, 38, 58, 82] and correlation functions [6, 20, 24, 52, 66] ....

M. Singh, W. Frei, T. Shibata, G.C. Huth, N.E. Telfer, "A digital technique for accurate change detection in nuclear medical images---With application to myocardial perfusion studies using thallium-201," IEEE Trans. on Nuclear Sciences, vol. 26, pp. 565--575, 1979.

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Singh, M., Frei, W., Shibata, T., and Huth, G. C. (1979). A digital technique for accurate change detection in nuclear medical images --- with application to myocardial perfusion studies using thallium-201. IEEE Transactions on Nuclear Science, NS-26(1):565--575.

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