干旱区生态环境知识资源中心(Arid): BrainFD: Measuring the Intracranial Brain Volume With Fractal Dimension

Arid

DOI	10.3389/fnagi.2021.765185
	BrainFD: Measuring the Intracranial Brain Volume With Fractal Dimension
	Ashraf, Ghulam Md; Chatzichronis, Stylianos; Alexiou, Athanasios; Kyriakopoulos, Nikolaos; Alghamdi, Badrah Saeed Ali; Tayeb, Haythum Osama; Alghamdi, Jamaan Salem; Khan, Waseem; Jalal, Manal Ben; Atta, Hazem Mahmoud
通讯作者	Ashraf, GM (corresponding author)，King Abdulaziz Univ, King Fahd Med Res Ctr, Preclin Res Unit, Jeddah, Saudi Arabia. ; Ashraf, GM (corresponding author)，King Abdulaziz Univ, Fac Appl Med Sci, Dept Med Lab Technol, Jeddah, Saudi Arabia. ; Alexiou, A (corresponding author)，Novel Global Community Educ Fdn, Dept Sci & Engn, Hebersham, NSW, Australia. ; Alexiou, A (corresponding author)，AFNP Med Austria, Vienna, Austria.
来源期刊	FRONTIERS IN AGING NEUROSCIENCE
ISSN	1663-4365
出版年	2021
卷号	13
英文摘要	A few methods and tools are available for the quantitative measurement of the brain volume targeting mainly brain volume loss. However, several factors, such as the clinical conditions, the time of the day, the type of MRI machine, the brain volume artifacts, the pseudoatrophy, and the variations among the protocols, produce extreme variations leading to misdiagnosis of brain atrophy. While brain white matter loss is a characteristic lesion during neurodegeneration, the main objective of this study was to create a computational tool for high precision measuring structural brain changes using the fractal dimension (FD) definition. The validation of the BrainFD software is based on T1-weighted MRI images from the Open Access Series of Imaging Studies (OASIS)-3 brain database, where each participant has multiple MRI scan sessions. The software is based on the Python and JAVA programming languages with the main functionality of the FD calculation using the box-counting algorithm, for different subjects on the same brain regions, with high accuracy and resolution, offering the ability to compare brain data regions from different subjects and on multiple sessions, creating different imaging profiles based on the Clinical Dementia Rating (CDR) scores of the participants. Two experiments were executed. The first was a cross-sectional study where the data were separated into two CDR classes. In the second experiment, a model on multiple heterogeneous data was trained, and the FD calculation for each participant of the OASIS-3 database through multiple sessions was evaluated. The results suggest that the FD variation efficiently describes the structural complexity of the brain and the related cognitive decline. Additionally, the FD efficiently discriminates the two classes achieving 100% accuracy. It is shown that this classification outperforms the currently existing methods in terms of accuracy and the size of the dataset. Therefore, the FD calculation for identifying intracranial brain volume loss could be applied as a potential low-cost personalized imaging biomarker. Furthermore, the possibilities measuring different brain areas and subregions could give robust evidence of the slightest variations to imaging data obtained from repetitive measurements to Physicians and Radiologists.
英文关键词	aging biomarkers fractal dimension intracranial brain volume MRI neuroinformatics OASIS brain database VoxelMorph
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000760647900001
WOS关键词	OPEN ACCESS SERIES ; ALZHEIMERS-DISEASE ; CORTICAL SURFACE ; MRI DATA ; CLASSIFICATION ; COMPLEXITY ; DECLINE ; SEGMENTATION ; RECOGNITION ; PRINCIPLES
WOS类目	Geriatrics & Gerontology ; Neurosciences
WOS研究方向	Geriatrics & Gerontology ; Neurosciences & Neurology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/375834
作者单位	[Ashraf, Ghulam Md; Alghamdi, Badrah Saeed Ali] King Abdulaziz Univ, King Fahd Med Res Ctr, Preclin Res Unit, Jeddah, Saudi Arabia; [Ashraf, Ghulam Md] King Abdulaziz Univ, Fac Appl Med Sci, Dept Med Lab Technol, Jeddah, Saudi Arabia; [Chatzichronis, Stylianos] Natl & Kapodistrian Univ Athens, Dept Informat & Telecommun, Athens, Greece; [Chatzichronis, Stylianos; Alexiou, Athanasios] Novel Global Community Educ Fdn, Dept Sci & Engn, Hebersham, NSW, Australia; [Alexiou, Athanasios] AFNP Med Austria, Vienna, Austria; [Kyriakopoulos, Nikolaos] 251 Gen Airforce Hosp, MRI Dept, Athens, Greece; [Alghamdi, Badrah Saeed Ali] King Abdulaziz Univ, Fac Med, Dept Physiol, Jeddah, Saudi Arabia; [Alghamdi, Badrah Saeed Ali; Tayeb, Haythum Osama] King Abdulaziz Univ, Fac Med, Neurosci Res Unit, Jeddah, Saudi Arabia; [Tayeb, Haythum Osama] King Abdulaziz Univ, Dept Internal Med, Div Neurol, Jeddah, Saudi Arabia; [Alghamdi, Jamaan Salem] King Abdulaziz Univ, Fac Appl Med Sci, Dept Diagnost Radiol, Jeddah, Saudi Arabia; [K...
推荐引用方式 GB/T 7714	Ashraf, Ghulam Md,Chatzichronis, Stylianos,Alexiou, Athanasios,et al. BrainFD: Measuring the Intracranial Brain Volume With Fractal Dimension[J],2021,13.
APA	Ashraf, Ghulam Md.,Chatzichronis, Stylianos.,Alexiou, Athanasios.,Kyriakopoulos, Nikolaos.,Alghamdi, Badrah Saeed Ali.,...&Atta, Hazem Mahmoud.(2021).BrainFD: Measuring the Intracranial Brain Volume With Fractal Dimension.FRONTIERS IN AGING NEUROSCIENCE,13.
MLA	Ashraf, Ghulam Md,et al."BrainFD: Measuring the Intracranial Brain Volume With Fractal Dimension".FRONTIERS IN AGING NEUROSCIENCE 13(2021).