A nonlinear elastic deformable template for soft structure segmentation: application to the heart segmentation in MRI

Rouchdy, Youssef; Pousin, Jérôme; Schaerer, Joël; Clarysse, Patrick

doi:10.1088/0266-5611/23/3/011

Cited by 16 publications

(10 citation statements)

References 22 publications

(36 reference statements)

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“…We wish to refer to a segmentation method, different from ours, that also uses nonlinear elasticity to define the deformation of the evolving contour or surface in Rouchdy et al [27]. The segmentation criterion is based on the gradient vector flow [36], and a deformation field is computed via non-linear elasticity using the finite element method.…”

Section: Introductionmentioning

confidence: 99%

A Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother

Guyader¹,

Vese²

2009

Lecture Notes in Computer Science

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Abstract. In this paper, we present a new non-parametric combined segmentation and registration method. The problem is cast as an optimization one, combining a matching criterion based on the active contour without edges [4] for segmentation, and a nonlinear-elasticity-based smoother on the displacement vector field. This modeling is twofold: first, registration is jointly performed with segmentation since guided by the segmentation process; it means that the algorithm produces both a smooth mapping between the two shapes and the segmentation of the object contained in the reference image. Secondly, the use of a nonlinearelasticity-type regularizer allows large deformations to occur, which makes the model comparable in this point with the viscous fluid registration method [7]. Several applications are proposed to demonstrate the potential of this method to both segmentation of one single image and to registration between two images.

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Section: Introductionmentioning

confidence: 99%

A Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother

Guyader¹,

Vese²

2009

Lecture Notes in Computer Science

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“…Particles keep the original shape and can be distinguished from noise; the noise points and ring artifacts are well eliminated, which is difficult to achieve for other treatment method. Over segmentation and statistical error can be reduced when performing information extraction of ceramic sintering process [15][16][17]. So the iteration method can be applied in dynamic processes.…”

Section: Figure 7 Explanation Of Iteration Methodsmentioning

confidence: 99%

Research on the SR-CT technique in microstructures testing during dynamic processes

Xiao-fang

et al. 2011

J. Phys.: Conf. Ser.

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Abstract. Synchrotron Radiation X-ray Computerized Topography (SR-CT) is an advanced technique, which is a unique combination of synchrotron radiation and computerized topography technique. Different from other conventional materials testing instruments, SR-CT technique has its advantages, such as non-destructive and real-time, etc. Therefore, it may be a powerful materials testing method in dynamic processes. However, there are also some actual problems. The high quality of the reconstructed images needs larger number of projections and much projection collecting time, but it is not allowed in dynamic processes because of sample evolution. Moreover, the noise in the projection images and some other factors reduced the reconstruction quality. The purpose of this work is to apply SR-CT technique in dynamic processes. A numerical simulation, including a generalized noise model considered the real situation of SR-CT experiment, different from the previous work, of SR-CT experiment was performed in order to carry out a quantitative evaluation on actual SR-CT experiment. A kind of iteration method was proposed to improve the quality of reconstructed images. The quality of reconstructed images was evaluated by three image evaluation parameters. The result shows that all three image evaluation parameters have obvious improvement by iteration method. Images from real SR-CT experiment were treated by iteration method to verify the effectiveness of iteration method, and high quality images can be obtained. The iteration method is appropriate and can be applied in the SR-CT experiment in microstructures testing during dynamic processes.

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“…As an example, the papillary muscles, the trabeculae, or the liver have pixel intensity values which are virtually indistinguishable from those of the myocardium (Cordero-Grande et al, 2011). In the literature there is a huge number of recent works on heart identification in MR images (Alattar et al, 2010;Cordero-Grande et al, 2011;Lekadir et al, 2011;O´Brien et al, 2011;O'Donnell et al, 2006;Rouchdy et al, 2007;Schaerer et al, 2010;Zhao et al, 2009). A www.intechopen.com comprehensive survey focusing on extracting the heart cavities in short axis view from cardiac MR images has been published recently by Petitjean & Dacher (2011).…”

Section: Cardiovascular Applicationsmentioning

confidence: 99%

Identification of Structures in Medical Images

Rebelo¹,

Furuie²,

Moura³

et al. 2011

Medical Imaging

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A nonlinear elastic deformable template for soft structure segmentation: application to the heart segmentation in MRI

Cited by 16 publications

References 22 publications

A Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother

A Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother

Research on the SR-CT technique in microstructures testing during dynamic processes

Identification of Structures in Medical Images

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