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Brain MRI modality understanding: a guide for image processing and segmentation

Kirimtat, Ayca and Krejcar, Ondrej and Selamat, Ali (2020) Brain MRI modality understanding: a guide for image processing and segmentation. In: 8th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2020, 6 May 2020 - 8 May 2020, Granada, Spain.

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Official URL: http://dx.doi.org/10.1007/978-3-030-45385-5_63

Abstract

Medical image processing is a highly challenging research area, thus medical imaging techniques are used to make diagnosis in human body. Moreover, as tumor in the brain is a critical and medical complaint, segmentation of the images has an important role to make segmentation of the brain tumor and it provides suspicious region diagnosis from the medical images. By the help of MRI scanners, signals generated by the human body tissues could be detected and determined spatially. Thus, we in this paper try to propose basics of MRI image modalities as a guide for understanding the processes and methods. Since original brain image is not appropriate for the examination, segmentation of the images could be very useful method for partition of the digital image into similar regions. This research also presents a guide for understanding the brain MRI sequences in other words modalities.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:brain, image processing, image segmentation, MRI
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Malaysia-Japan International Institute of Technology
ID Code:93810
Deposited By: Yanti Mohd Shah
Deposited On:31 Dec 2021 08:51
Last Modified:31 Dec 2021 08:51

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