1998
DOI: 10.1002/1361-6374(199809)6:3<111::aid-bio1>3.3.co;2-v
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A Fourier–Shannon approach to closed contours modelling

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Cited by 3 publications
(4 citation statements)
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“…The SC contour was modeled with the use of a B‐spline snake defined in a polar coordinate system (14, 15). Compared to the conventional B‐spline snake parameterized in the Cartesian coordinate system (16), the polar B‐spline snake more closely matches the geometry of the SC contour, which is approximately circular in axial images.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The SC contour was modeled with the use of a B‐spline snake defined in a polar coordinate system (14, 15). Compared to the conventional B‐spline snake parameterized in the Cartesian coordinate system (16), the polar B‐spline snake more closely matches the geometry of the SC contour, which is approximately circular in axial images.…”
Section: Methodsmentioning
confidence: 99%
“…The resulting contours were compared with each other to test the inter‐ and intraobserver reproducibility. To study the parameter sensitivity of our SC contour‐detection technique, we ran the algorithm over a range of spline orders (3 and 4), numbers of control points (11–16), and weighing parameter α values (1, 10, and 100). For each combination of those parameters, we computed the RMS contour‐detection error in radius over all the images ( N = ∼160) in this study.…”
Section: Methodsmentioning
confidence: 99%
“…Parameterization is done using landmarks (other shape parameterization methods may be utilized, e.g. Fourier descriptors [3] or B-splines [23]). Landmarks are labeled either manually, as when a cardiologist labels the heart chamber boundaries [6,11], or (semi-)automatically [10].…”
Section: Statistical St-shape Variationmentioning
confidence: 99%
“…All examples of this section are related with this radiation problem in which G(x) is defined by Shannon's kernels. Shannon's kernels are widely used for modeling data in real processes and phenomena Bonciu and Thiel (1998); Wei (2001). We take data as e(x) = 0, f (x, t) = 0, g = (g 1 , g 2 , g 3 ), where…”
mentioning
confidence: 99%