Objective Ventricle Segmentation in Brain CT with Ischemic Stroke Based on Anatomical Knowledge
Joint Authors
Qian, Xiaohua
Lin, Yuan
Zhao, Yue
Yue, Xinyan
Lu, Bingheng
Wang, Jing
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Ventricle segmentation is a challenging technique for the development of detection system of ischemic stroke in computed tomography (CT), as ischemic stroke regions are adjacent to the brain ventricle with similar intensity.
To address this problem, we developed an objective segmentation system of brain ventricle in CT.
The intensity distribution of the ventricle was estimated based on clustering technique, connectivity, and domain knowledge, and the initial ventricle segmentation results were then obtained.
To exclude the stroke regions from initial segmentation, a combined segmentation strategy was proposed, which is composed of three different schemes: (1) the largest three-dimensional (3D) connected component was considered as the ventricular region; (2) the big stroke areas were removed by the image difference methods based on searching optimal threshold values; (3) the small stroke regions were excluded by the adaptive template algorithm.
The proposed method was evaluated on 50 cases of patients with ischemic stroke.
The mean Dice, sensitivity, specificity, and root mean squared error were 0.9447, 0.969, 0.998, and 0.219 mm, respectively.
This system can offer a desirable performance.
Therefore, the proposed system is expected to bring insights into clinic research and the development of detection system of ischemic stroke in CT.
American Psychological Association (APA)
Qian, Xiaohua& Lin, Yuan& Zhao, Yue& Yue, Xinyan& Lu, Bingheng& Wang, Jing. 2017. Objective Ventricle Segmentation in Brain CT with Ischemic Stroke Based on Anatomical Knowledge. BioMed Research International،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1139224
Modern Language Association (MLA)
Qian, Xiaohua…[et al.]. Objective Ventricle Segmentation in Brain CT with Ischemic Stroke Based on Anatomical Knowledge. BioMed Research International No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1139224
American Medical Association (AMA)
Qian, Xiaohua& Lin, Yuan& Zhao, Yue& Yue, Xinyan& Lu, Bingheng& Wang, Jing. Objective Ventricle Segmentation in Brain CT with Ischemic Stroke Based on Anatomical Knowledge. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1139224
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139224