W. E. Higgins, W. J. T. Spyra, and E. L. Ritman, "Automatic Extraction of the Arterial Tree from 3-D Angiograms," in Engineering in Medicine and Biology Society, Proc. of the 11th Annual International IEEE Conference 2, pp. 563--564, November 1989.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....that have flowed into the readout region [3,5] and in general is a complex quantity due to spin dephasing. This aspect is discussed further in the next section. We use contrast or density throughout to refer to , although no contrast agent is used in MRA. Though specialized X ray equipment [11,12] can acquire enough projection data to reconstruct a discretized estimate of , the time variation of arteries limits acquisition to only a few (almost) simultaneous projection images with practical equipment. For some applications, estimates of arterial position and area may be sufficient, and ....

W. E. Higgins, W. J. T. Spyra, and E. L. Ritman, "Automatic extraction of the arterial tree from 3-D angiograms," in Proc. 11th Annual Intl. Conf. of the IEEE Engr. in Medicine and Biology Society, pp. 563--564, 1989.

....or semi automatic, and other specific factors. There is no single segmentation method that can extract vasculature from every medical image modality. While some methods employ pure intensity based pattern recognition techniques such as thresholding followed by connected component analysis [1], 2] some other methods apply explicit vessel models to extract the vessel contours [3] 4] and [5] Depending on the image quality and the general image artifacts such as noise, some segmentation methods may require image preprocessing prior to the segmentation algorithm [6] 7] On the ....

....The works of Poli and Valli [24] reviewed in section 2.6, Mao et al. [25] reviewed in section 2.6, Prinet et al. [26] 27] reviewed in section 2.5, Eiho and Qian [28] reviewed in section 2.7, O Brien and Ezquerra [29] reviewed in section 2.4, Yim et al. [30] reviewed in section 2. 4, Higgins et al. [1] reviewed in section 2.4, and Armande et al. [17] described in section 2.3 can also be classified as a skeleton based approach due to the skeleton detection in the segmentation process. 2.3 Ridge Based Approaches Ridge based methods treats grayscale images as a height map in which intensity ....

[Article contains additional citation context not shown here]

W. E. Higgins, W. J. T. Spyra, E. L. Ritman, Y. Kim, and F. A. Spelman, "Automatic extraction of the arterial tree from 3-d angiograms", in IEEE Conf. Eng. in Medicine and Bio., vol. 2, pp. 563--564, 1989.

....that have flowed into the readout region [3, 5] and in general is a complex quantity due to spin dephasing. This aspect is discussed further in the next section. We use contrast or density throughout to refer to , although no contrast agent is used in MRA. Though specialized X ray equipment [11, 12] can acquire enough projection data to reconstruct a discretized estimate of , the time variation of arteries limits acquisition to only a few (almost) simultaneous projection images with practical equipment. For some applications, estimates of arterial position and area may be sufficient, and ....

W. E. Higgins, W. J. T. Spyra, and E. L. Ritman, "Automatic extraction of the arterial tree from 3-d angiograms," in Proc. 11th Annual Intl. Conf. of the IEEE Engr. in Medicine and Biology Society, pp. 563--564, 1989.

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W. E. Higgins, W. J. T. Spyra, and E. L. Ritman, "Automatic Extraction of the Arterial Tree from 3-D Angiograms," in Engineering in Medicine and Biology Society, Proc. of the 11th Annual International IEEE Conference 2, pp. 563--564, November 1989.

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