T. Pappas and J. Lim, "A new method for estimation of coronary artery dimensions in angiograms", IEEE Trans. Acoust., Speech, Signal Process., vol. 36, pp. 1501--1513, 1988.  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... curved vessels and up to 15 in more irregularly shaped vessels [3] A manually specified starting estimate for the centerline may be used to identify the coronary borders followed by calculation of the lumen centerline as a line midway between the left and right coronary borders [3] 4] In [13], each cross section of the artery segment of interest is separately processed for detecting its border points. In [14] a robust method of coronary border detection is proposed. This method is based on simultaneous identification of both vessel s borders. The lumen centerline is extracted as the ....

....projection. is a linear integral of the attenuation coefficient of the matter it encounters on its way. forms a 2 D image that will be referred to as the vessel s intensity image. We describe next a model for the angiographic image based on the assumption of an elliptical vessel cross section [13]. Several steps are involved in modeling the intensity image. We start with a model of the vessel s cross section. Using the geometrical definition of the centerline (as in Section II A) an elliptical cross section that is perpendicular to the centerline is assumed. The ellipse axes (major and ....

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T. N. Pappas and J. S. Lim, "A new method for estimation of coronary artery dimensions in angiograms," IEEE Trans. Acoust., Speech, Signal Processing, vol. 36, no. 9, pp. 1501--1513, Sept. 1988.

.... h(xo) Xo] 8) The Levenberg Marquardt (LM) approach [10] to relaxation of the Hessian nonlinear least squares method is equally applicable to our penalized nonlinear least squares problem, since the penalty is a quadratic. Instead of (7) the LM approach (see discussion in [11, sec. 14.4] is to compute the update as fol lows: D XA)i x = d yielding the estimate Hess, X Xo A is a diagonal matfix whose elements are a measure of scale; we take A to be the diagonal elements of H . The LM algo rithm provides a procedure for choosing the relaxation parameter X to ensu at ....

....of a for which is a good estimate. In Section VI we show an empirical result that indicates the utility of CVo. V. ALGORITHM The algorithm depicted in Table I iteratively computes for a particular value of t. The computational complexity is only O(M3N) We have borrowed ideas from [11, sec. 14.4] substituting in our optimality criteria. All operations containing terms with the subscript n are repeated lbrn 1, N. Source code for this algorithm is available as VSPLINE from NETLIB [12] The dominant computational requircments are the vector spline smoothing and the computation of ....

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T. Pappas and 1. Lira, "A new method for estimation of coronary artery dimensions in anglograms," IEEE Trans. Acoust. , Speech, Signal Processing, vol. 36, pp. 1501-1513,Sept. 1988.

....assumptions are necessary. The model based approach of this paper is rooted in the work of Rossi [8] who analyzed reconstruction of a circular object from projections, and of Shmueli [18] who developed a dynamic programming algorithm for outlining a single cylindrical artery in one view. Pappas [19] demonstrated the accuracy of using elliptical cross sections to represent arteries, and Bresler [20] presented an optimal algorithm for reconstructing a single object with elliptical cross sections from a few projections. In [21] Rossi further evaluated ellipse reconstruction accuracy. Kitamura ....

....attention to a specific class of arterial tree descriptions, but for this section we represent an arterial tree by an arbitrary three dimensional density function. DSA images may also be corrupted by an unknown background field, and one could extend the model to account for an unknown background [9, 19, 29, 30]. These efforts have not been necessary for MRA images. The density function for an arterial tree varies with time, and a reconstruction paradigm that requires multiple views must account for this variation. Since the MRSIR readouts occur during diastole, we assume that the arteries positions ....

[Article contains additional citation context not shown here]

T. N. Pappas and J. S. Lim, "A new method for estimation of coronary artery dimensions in angiograms," IEEE Tr. Acoust. Sp. Sig. Proc., vol. 36, pp. 1501--1513, Sept. 1988.

....assumptions are necessary. The model based approach of this paper is rooted in the work of Rossi [8] who analyzed reconstruction of a circular object from projections, and of Shmueli [18] who developed a dynamic programming algorithm for outlining a single cylindrical artery in one view. Pappas [19] demonstrated the accuracy of using elliptical cross sections to represent arteries, and Bresler [20] presented an optimal algorithm for reconstructing a single object with elliptical cross sections from a few projections. In [21] Rossi further evaluated ellipse reconstruction accuracy. Kitamura ....

....attention to a specific class of arterial tree descriptions, but for this section we represent an arterial tree by an arbitrary three dimensional density function. DSA images may also be corrupted by an unknown background field, and one could extend the model to account for an unknown background [9, 19, 29, 30]. These efforts have not been necessary for MRA images. The density function for an arterial tree varies with time, and a reconstruction paradigm that requires multiple views must account for this variation. Since the MRSIR readouts occur during diastole, we assume that the arteries positions are ....

[Article contains additional citation context not shown here]

T. N. Pappas and J. S. Lim, "A new method for estimation of coronary artery dimensions in angiograms," IEEE Tr. Acoust. Sp. Sig. Proc., vol. 36, pp. 1501--1513, Sept. 1988.

No context found.

T. Pappas and J. Lim, "A new method for estimation of coronary artery dimensions in angiograms", IEEE Trans. Acoust., Speech, Signal Process., vol. 36, pp. 1501--1513, 1988.

No context found.

T. N. Pappas and J. S. Lim, "A new method for estimation of coronary artery dimensions in angiograms," IEEE Trans. Acoust., Speech, Signal Processing, vol. 36, pp. 1501--1513, Sept. 1988.

No context found.

T. N. Pappas and J. S. Lim, "A new method for estimation of coronary artery dimensions in angiograms," IEEE Trans. Acoust., Speech, Signal Processing, vol. 36, pp. 1501--1513, 1988.

No context found.

T.N. Pappas and J.S. Lim. A New Method for Estimation of Coronary Artery Dimensions in Angiograms. IEEE ASSP,vol. 3.. no. 9, pages 840-858, 1988.

No context found.

T. Pappas, J. S. Lim, "A new method for estimation of coronary artery dimensions in angiograms," IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 36(9), p p. 1501-1513, 1988.

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