Multiresolution Analysis Using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation
Joint Authors
Islam, Naveed
Abbod, Maysam F.
AlZu'bi, Shadi
Source
International Journal of Biomedical Imaging
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-09-12
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
The experimental study presented in this paper is aimed at the development of an automatic image segmentation system for classifying region of interest (ROI) in medical images which are obtained from different medical scanners such as PET, CT, or MRI.
Multiresolution analysis (MRA) using wavelet, ridgelet, and curvelet transforms has been used in the proposed segmentation system.
It is particularly a challenging task to classify cancers in human organs in scanners output using shape or gray-level information; organs shape changes throw different slices in medical stack and the gray-level intensity overlap in soft tissues.
Curvelet transform is a new extension of wavelet and ridgelet transforms which aims to deal with interesting phenomena occurring along curves.
Curvelet transforms has been tested on medical data sets, and results are compared with those obtained from the other transforms.
Tests indicate that using curvelet significantly improves the classification of abnormal tissues in the scans and reduce the surrounding noise.
American Psychological Association (APA)
AlZu'bi, Shadi& Islam, Naveed& Abbod, Maysam F.. 2011. Multiresolution Analysis Using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation. International Journal of Biomedical Imaging،Vol. 2011, no. 2011, pp.1-18.
https://search.emarefa.net/detail/BIM-448531
Modern Language Association (MLA)
AlZu'bi, Shadi…[et al.]. Multiresolution Analysis Using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation. International Journal of Biomedical Imaging No. 2011 (2011), pp.1-18.
https://search.emarefa.net/detail/BIM-448531
American Medical Association (AMA)
AlZu'bi, Shadi& Islam, Naveed& Abbod, Maysam F.. Multiresolution Analysis Using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation. International Journal of Biomedical Imaging. 2011. Vol. 2011, no. 2011, pp.1-18.
https://search.emarefa.net/detail/BIM-448531
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448531