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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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 |
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TA Engineering (General). Civil engineering (General) Kirimtat, Ayca Krejcar, Ondrej Selamat, Ali Brain MRI modality understanding: a guide for image processing and segmentation |
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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 |
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2020 |
url |
http://eprints.utm.my/id/eprint/93810/ http://dx.doi.org/10.1007/978-3-030-45385-5_63 |
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1720980128226344960 |