干旱区生态环境知识资源中心(Arid): CORONAL SLICES SEGMENTATION OF MRI IMAGES USING ACTIVE CONTOUR METHOD ON INITIAL IDENTIFICATION OF ALZHEIMER SEVERITY LEVEL BASED ON CLINICAL DEMENTIA RATING (CDR)

Arid

	CORONAL SLICES SEGMENTATION OF MRI IMAGES USING ACTIVE CONTOUR METHOD ON INITIAL IDENTIFICATION OF ALZHEIMER SEVERITY LEVEL BASED ON CLINICAL DEMENTIA RATING (CDR)
	Supriyanti, Retno; Subhi, Ays Rahmadian; Ramadhani, Yogi; Widodo, Haris B.
通讯作者	Supriyanti, R
来源期刊	JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY
EISSN	1823-4690
出版年	2019
卷号	14 期号:3 页码:1672-1686
英文摘要	Alzheimer's is a type of syndrome disease with apoptosis of brain cells at about the same time, so the brain appears to shrivel and shrink. This condition causes the nerve cell cells in the brain to die, so the brain signal is difficult to transmit well. To find out the size of brain changes, the most commonly used equipment among physicians is the Magnetic Resonance Imaging (MRI) machine that produces medical images. The main purpose of this research is to segment the MRI brain image to identify the severity of Alzheimer based on the Clinical Dementia Rating (CDR) value. It's just because the image MRI itself consists of 3 slices of coronal, sagittal and axial, then in this paper, we only discuss coronal slices only. Segmentation will be done in the hippocampal and ventricular areas using active contour method. In this research, we only focus on measuring the area shown on the number of pixels in the two segmentation areas. Furthermore, it will automatically identify the number of segmentation pixels in the Alzheimer population based on the CDR value. Visualization of hippocampal and ventricular cells is done by segmenting the image pieces obtained from the OASIS (Open Access Series of Image Studies) database. The results show that the normal image of a hippocampal object has a pixel range of 148-296 pixels and abnormal images are in the range of 68-144 pixels, while ventricular objects have ranges of 50 to 472 pixels for normal imagery and 473-899 pixels for abnormal images.
英文关键词	Active contour method Alzheimer Coronal slices Hippocampal Ventricular
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	ESCI
WOS记录号	WOS:000470092500039
WOS关键词	FDG-PET
WOS类目	Engineering, Multidisciplinary
WOS研究方向	Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/333581
作者单位	[Supriyanti, Retno; Subhi, Ays Rahmadian; Ramadhani, Yogi] Jenderal Soedirman Univ, Elect Engn Dept, Engn Fac, Jl HR Boenjamin 708, Purwokerto, Cent Java, Indonesia; [Widodo, Haris B.] Jenderal Soedirman Univ, Med Fac, Jl HR Boenjamin 708, Purwokerto, Cent Java, Indonesia
推荐引用方式 GB/T 7714	Supriyanti, Retno,Subhi, Ays Rahmadian,Ramadhani, Yogi,et al. CORONAL SLICES SEGMENTATION OF MRI IMAGES USING ACTIVE CONTOUR METHOD ON INITIAL IDENTIFICATION OF ALZHEIMER SEVERITY LEVEL BASED ON CLINICAL DEMENTIA RATING (CDR)[J],2019,14(3):1672-1686.
APA	Supriyanti, Retno,Subhi, Ays Rahmadian,Ramadhani, Yogi,&Widodo, Haris B..(2019).CORONAL SLICES SEGMENTATION OF MRI IMAGES USING ACTIVE CONTOUR METHOD ON INITIAL IDENTIFICATION OF ALZHEIMER SEVERITY LEVEL BASED ON CLINICAL DEMENTIA RATING (CDR).JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY,14(3),1672-1686.
MLA	Supriyanti, Retno,et al."CORONAL SLICES SEGMENTATION OF MRI IMAGES USING ACTIVE CONTOUR METHOD ON INITIAL IDENTIFICATION OF ALZHEIMER SEVERITY LEVEL BASED ON CLINICAL DEMENTIA RATING (CDR)".JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY 14.3(2019):1672-1686.