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

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...

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Main Authors: Kirimtat, Ayca, Krejcar, Ondrej, Selamat, Ali
Format: Conference or Workshop Item
Published: 2020
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/93810/
http://dx.doi.org/10.1007/978-3-030-45385-5_63
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spelling my.utm.938102021-12-31T08:51:14Z http://eprints.utm.my/id/eprint/93810/ Brain MRI modality understanding: a guide for image processing and segmentation Kirimtat, Ayca Krejcar, Ondrej Selamat, Ali TA Engineering (General). Civil engineering (General) 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. 2020-04 Conference or Workshop Item PeerReviewed 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. http://dx.doi.org/10.1007/978-3-030-45385-5_63
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Kirimtat, Ayca
Krejcar, Ondrej
Selamat, Ali
Brain MRI modality understanding: a guide for image processing and segmentation
description 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.
format Conference or Workshop Item
author Kirimtat, Ayca
Krejcar, Ondrej
Selamat, Ali
author_facet Kirimtat, Ayca
Krejcar, Ondrej
Selamat, Ali
author_sort Kirimtat, Ayca
title Brain MRI modality understanding: a guide for image processing and segmentation
title_short Brain MRI modality understanding: a guide for image processing and segmentation
title_full Brain MRI modality understanding: a guide for image processing and segmentation
title_fullStr Brain MRI modality understanding: a guide for image processing and segmentation
title_full_unstemmed Brain MRI modality understanding: a guide for image processing and segmentation
title_sort brain mri modality understanding: a guide for image processing and segmentation
publishDate 2020
url http://eprints.utm.my/id/eprint/93810/
http://dx.doi.org/10.1007/978-3-030-45385-5_63
_version_ 1720980128226344960
score 13.211869

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