3-D Reconstruction of Medical Image Using Wavelet Transform and Snake Model

Cheng, Jinyong; Liu, Yihui

doi:10.4304/jmm.4.6.427-434

Cited by 11 publications

(5 citation statements)

References 15 publications

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“…In an optimized mesh, each vertex is connected to its nearest neighbors. We propose to reshape the triangular mesh based on the vertex nearest neighbors proposed here [17]. The process of reshaping the triangular mesh is shown in Fig.…”

Section: Proposed Methodsmentioning

confidence: 99%

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Active surface model improvement by energy function optimization for 3D segmentation

Azimifar

Mohaddesi

2015

Computers in Biology and Medicine

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Section: Proposed Methodsmentioning

confidence: 99%

“…The process of reshaping the triangular mesh is shown in Fig. 6, which is copied from [17]. To do so, assume that two vertices v 1 and w 1 are neighbors and connected.…”

Section: Proposed Methodsmentioning

confidence: 99%

Active surface model improvement by energy function optimization for 3D segmentation

Azimifar

Mohaddesi

2015

Computers in Biology and Medicine

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“…The traditional Snake (parametric active contour models) is defined parametric curve from the image ( , ) I x y [12], Kass…”

Section: A Multi-scale Wavelet Transform Image Edge Detection Algorithmmentioning

confidence: 99%

The contour extraction of neck lymph node ultrasound image based on multi-scale wavelet transform and GVF snake model

Fei

Zhang

2013

2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013)

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It is of positive significance to extract the contour of ultrasound images for medical diagnosis. The paper proposes a method which combines with multi-scale wavelet transform modulus maxima and GVF snake algorithm to extract the contour of cervical lymph node. Firstly, the proposed method obtains the initial contour of the ultrasound image with using an algorithm of edge detection called wavelet transform modulus maxima, and then using GVF snake model can extract the accurate contour of the image. Experiments show that the method overcomes the disadvantages of the wavelet analysis getting the discontinuous edge; it is better in noise immunity and anti-artifact interference compared with the traditional GVF snake model. In addition, the initial contour is close to the real edge of the given image, thus it reduces the iteration number of gradient vector flow (GVF) field and improves the convergence speed of the contour.Index Terms-Lymph node ultrasound images, multi-scale analysis, wavelet transform, the gradient vector flow, active contour model, contour extraction.

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“…Developing reconstruction algorithms attracts a significant amount of attention because the three-dimensional (3D) volume reconstruction from a sequence of medical images has numerous applications such as medical diagnostic, plastic and artificial limb surgery, virtual surgery system, anatomy teaching, and treatment planning [2,3]. Various algorithms have been proposed to reconstruct a surface or volume from a set of planar cross-sections.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional volume reconstruction from slice data using phase-field models

Shin²,

Choi

et al. 2015

Computer Vision and Image Understanding

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3-D Reconstruction of Medical Image Using Wavelet Transform and Snake Model

Abstract: Medical image segmentation is a Show more

Cited by 11 publications

References 15 publications

Active surface model improvement by energy function optimization for 3D segmentation

Active surface model improvement by energy function optimization for 3D segmentation

The contour extraction of neck lymph node ultrasound image based on multi-scale wavelet transform and GVF snake model

Three-dimensional volume reconstruction from slice data using phase-field models

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