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Vascular Tree Segmentation in Medical Images Using Hessian-Based Multiscale Filtering and Level Set Method
Joint Authors
Jin, Jiaoying
Yang, Linjun
Zhang, Xuming
Ding, Mingyue
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Vascular segmentation plays an important role in medical image analysis.
A novel technique for the automatic extraction of vascular trees from 2D medical images is presented, which combines Hessian-based multiscale filtering and a modified level set method.
In the proposed algorithm, the morphological top-hat transformation is firstly adopted to attenuate background.
Then Hessian-based multiscale filtering is used to enhance vascular structures by combining Hessian matrix with Gaussian convolution to tune the filtering response to the specific scales.
Because Gaussian convolution tends to blur vessel boundaries, which makes scale selection inaccurate, an improved level set method is finally proposed to extract vascular structures by introducing an external constrained term related to the standard deviation of Gaussian function into the traditional level set.
Our approach was tested on synthetic images with vascular-like structures and 2D slices extracted from real 3D abdomen magnetic resonance angiography (MRA) images along the coronal plane.
The segmentation rates for synthetic images are above 95%.
The results for MRA images demonstrate that the proposed method can extract most of the vascular structures successfully and accurately in visualization.
Therefore, the proposed method is effective for the vascular tree extraction in medical images.
American Psychological Association (APA)
Jin, Jiaoying& Yang, Linjun& Zhang, Xuming& Ding, Mingyue. 2013. Vascular Tree Segmentation in Medical Images Using Hessian-Based Multiscale Filtering and Level Set Method. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-476650
Modern Language Association (MLA)
Jin, Jiaoying…[et al.]. Vascular Tree Segmentation in Medical Images Using Hessian-Based Multiscale Filtering and Level Set Method. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-476650
American Medical Association (AMA)
Jin, Jiaoying& Yang, Linjun& Zhang, Xuming& Ding, Mingyue. Vascular Tree Segmentation in Medical Images Using Hessian-Based Multiscale Filtering and Level Set Method. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-476650
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-476650