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Segmentation of the Striatum from MR Brain Images to Calculate the Tc99m-TRODAT-1 Binding Ratio in SPECT Images
Joint Authors
Jiang, Ching-Fen
Wu, Chia-Hsiang
Huang, Shu-Hua
Chang, Chiung-Chih
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Quantification of regional Tc99m-TRODAT-1 binding ratio in the striatum regions in SPECT images is essential for differential diagnosis between Alzheimer's and Parkinson's diseases.
Defining the region of the striatum in the SPECT image is the first step toward success in the quantification of the TRODAT-1 binding ratio.
However, because SPECT images reveal insufficient information regarding the anatomical structure of the brain, correct delineation of the striatum directly from the SPECT image is almost impossible.
We present a method integrating the active contour model and the hybrid registration technique to extract regions from MR T1-weighted images and map them into the corresponding SPECT images.
Results from three normal subjects suggest that the segmentation accuracy using the proposed method was compatible with the expert decision but has a higher efficiency and reproducibility than manual delineation.
The binding ratio derived by this method correlated well (R2 = 0.76) with those values calculated by commercial software, suggesting the feasibility of the proposed method.
American Psychological Association (APA)
Jiang, Ching-Fen& Chang, Chiung-Chih& Huang, Shu-Hua& Wu, Chia-Hsiang. 2013. Segmentation of the Striatum from MR Brain Images to Calculate the Tc99m-TRODAT-1 Binding Ratio in SPECT Images. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-483509
Modern Language Association (MLA)
Jiang, Ching-Fen…[et al.]. Segmentation of the Striatum from MR Brain Images to Calculate the Tc99m-TRODAT-1 Binding Ratio in SPECT Images. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-483509
American Medical Association (AMA)
Jiang, Ching-Fen& Chang, Chiung-Chih& Huang, Shu-Hua& Wu, Chia-Hsiang. Segmentation of the Striatum from MR Brain Images to Calculate the Tc99m-TRODAT-1 Binding Ratio in SPECT Images. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-483509
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-483509