Snakuscules

Thévenaz, P.; Unser, Michaël

doi:10.1109/tip.2007.914742

Cited by 41 publications

(37 citation statements)

References 48 publications

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“…Additional information about the shape of the prostate can increase robustness to noise and reduce segmentation time. Deformable models have been widely used for medical image segmentation [5,6,7,8,9] and are generally more successful than the former methods. Fitting ellipses, ellipsoids, super-ellipses, and deformable ellipses or using them for initialization have been relatively attractive approaches for prostate segmentation due to the shape of the gland [10,11,12,13,14].…”

Section: Introductionmentioning

confidence: 99%

3D Prostate Segmentation in Ultrasound Images Based on Tapered and Deformed Ellipsoids

Mahdavi

Morris

Spadinger

et al. 2009

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009

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Abstract. Prostate segmentation from trans-rectal transverse B-mode ultrasound images is required for radiation treatment of prostate cancer. Manual segmentation is a time-consuming task, the results of which are dependent on image quality and physicians' experience. This paper introduces a semi-automatic 3D method based on super-ellipsoidal shapes. It produces a 3D segmentation in less than 15 seconds using a warped, tapered ellipsoid fit to the prostate. A study of patient images shows good performance and repeatability. This method is currently in clinical use at the Vancouver Cancer Center where it has become the standard segmentation procedure for low dose-rate brachytherapy treatment.

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Section: Introductionmentioning

confidence: 99%

3D Prostate Segmentation in Ultrasound Images Based on Tapered and Deformed Ellipsoids

Mahdavi

Morris

Spadinger

et al. 2009

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009

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“…The deformable template consists of a pair of nested contours and allowed to move in the template's RAT space. Thévenaz and Unser [18,19] employed a shapespecific parametrization and regularization to maintain shape specificity. In [20], we provided a unified approach for segmentation of circular and elliptical shaped objects.…”

Section: Affine-space Snake Formulationmentioning

confidence: 99%

“…On the energy front, many techniques rely on region-and gradient-based energies or functions derived thereof [17]. Recently, Thévenaz and Unser [18,19] proposed a new contrast-based energy for optimizing concentric circles and ellipses. The contrast is defined between the pixel intensities inside the inner contour and those lying in the annular region between the inner and outer contours.…”

Section: Introductionmentioning

confidence: 99%

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A shape-template based two-stage corpus callosum segmentation technique for sagittal plane T1-weighted brain magnetic resonance images

Mogali

Nallapareddy

Seelamantula

et al. 2013

2013 IEEE International Conference on Image Processing

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We propose a semi-automatic technique to segment corpus callosum (CC) using a two-stage snake formulation: A restricted affine transform (RAT) constrained snake followed by an unconstrained snake in an iterative fashion. A statistical model is developed to capture the shape variations of CC from a training set, which restrict the unconstrained snake to lie in the shape-space of CC. The geometry of the constrained snake is optimized using a local contrast-based energy over RAT space (which allows for five degrees of freedom). On the other hand, the unconstrained snake is optimized using a unified energy (region, gradient, and curvature energy) formulation. Joint optimization resulted in increased robustness to initialization as well as fast and accurate segmentation. The technique was validated on 243 images taken from the OASIS database and performance was quantified using Jaccard's distance, sensitivity, and specificity as the metrics.Index Terms-Corpus callosum segmentation, active contour model, shape-specific snake, contrast-based energy.

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“…I N a previous paper, we introduced what would possibly be the simplest snake that retains practical usefulness [1]. It was parameterized by just two points, and its purpose was to latch on circular bright image patches.…”

Section: Introductionmentioning

confidence: 99%

The Ovuscule

Thévenaz

Delgado-Gonzalo

Unser

2011

IEEE Trans. Pattern Anal. Mach. Intell.

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Abstract-We propose an active contour (a.k.a. snake) that takes the shape of an ellipse. Its evolution is driven by surface terms made of two contributions: the integral of the data over an inner ellipse, counterbalanced by the integral of the data over an outer elliptical shell. We iteratively adapt the active contour to maximize the contrast between the two domains, which results in a snake that seeks elliptical bright blobs. We provide analytic expressions for the gradient of the snake with respect to its defining parameters, which allows for the use of efficient optimizers. An important contribution here is the parameterization of the ellipse which we define in such a way that all parameters have equal importance; this creates a favorable landscape for the proceedings of the optimizer. We validate our construct with synthetic data and illustrate its use on real data as well.

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Snakuscules

Cited by 41 publications

References 48 publications

3D Prostate Segmentation in Ultrasound Images Based on Tapered and Deformed Ellipsoids

3D Prostate Segmentation in Ultrasound Images Based on Tapered and Deformed Ellipsoids

A shape-template based two-stage corpus callosum segmentation technique for sagittal plane T1-weighted brain magnetic resonance images

The Ovuscule

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