Role of Parallel Processing in Brain Magnetic Resonance Imaging

被引:0
作者
Kirimtat, Ayca [1 ]
Krejcar, Ondrej [1 ,2 ]
机构
[1] Univ Hradec Kralove, Fac Informat & Management, Ctr Basic & Appl Res, Rokitanskeho 62, Hradec Kralove 50003, Czech Republic
[2] Univ Teknol Malaysia, Malaysia Japan Int Inst Technol MJIIT, Kuala Lumpur, Malaysia
来源
BIOINFORMATICS AND BIOMEDICAL ENGINEERING, IWBBIO 2023, PT II | 2023年 / 13920卷
关键词
parallel processing; MRI; brain; Web of Science; review; IMPLEMENTATION; SEGMENTATION; GPU;
D O I
10.1007/978-3-031-34960-7_27
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Parallel processing is a procedure for making computation of more than a processor to overcome the difficulty of separate parts of an overall task. It is really crucial for some medicine-related tasks since the method provide time-efficient computation by a program, thus several calculations could be made simultaneously. Whereas, magnetic resonance imaging (MRI) is one of the medical imaging methods to show form of an anatomy and biological progressions of a human body. Parallel processing methods could be useful for being implemented in MRI with the aim of getting real-time, interventional and time-efficient acquisition of images. Given the need of faster computation on brain MRI to get early and real-time feedbacks in medicine, this paper presents a systematic review of the literature related to brain MRIs focusing on the emerging applications of parallel processing methods for the analysis of brain MRIs. We investigate the articles consisting of these kernels with literature matrices including their, materials, methods, journal types between 2013 and 2023. We distill the most prominent key concepts of parallel processing methods.
引用
收藏
页码:387 / 397
页数:11
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