Segmentation of brain biomedical images to compute the volume of gliomas
The paper presents an algorithm of segmentation of brain imaging examination results − computed tomography (CT) and positron emission tomography (PET) − to identify, compute, and visualize the brain tumors. Computer software was developed in the MATLAB environment using active contour methods: Edge...
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EDP Sciences
2019-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2019/05/itmconf_zkwe2019_01016.pdf |
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doaj-32a7a080369d477fa7913eb17e2f4ad92021-02-02T08:30:29ZengEDP SciencesITM Web of Conferences2271-20972019-01-01280101610.1051/itmconf/20192801016itmconf_zkwe2019_01016Segmentation of brain biomedical images to compute the volume of gliomasKot EsteraSiwek KrzysztofThe paper presents an algorithm of segmentation of brain imaging examination results − computed tomography (CT) and positron emission tomography (PET) − to identify, compute, and visualize the brain tumors. Computer software was developed in the MATLAB environment using active contour methods: Edge and Chan-Vese. A review of the current treatment plan for patients with diagnosed glioblastoma multiforme was included to emphasize the significance of the solved problem. The work presents executed steps in the algorithm with a detailed description of thresholding process. Visual results of tumors were performed and presented.https://www.itm-conferences.org/articles/itmconf/pdf/2019/05/itmconf_zkwe2019_01016.pdf |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Kot Estera Siwek Krzysztof |
| spellingShingle |
Kot Estera Siwek Krzysztof Segmentation of brain biomedical images to compute the volume of gliomas ITM Web of Conferences |
| author_facet |
Kot Estera Siwek Krzysztof |
| author_sort |
Kot Estera |
| title |
Segmentation of brain biomedical images to compute the volume of gliomas |
| title_short |
Segmentation of brain biomedical images to compute the volume of gliomas |
| title_full |
Segmentation of brain biomedical images to compute the volume of gliomas |
| title_fullStr |
Segmentation of brain biomedical images to compute the volume of gliomas |
| title_full_unstemmed |
Segmentation of brain biomedical images to compute the volume of gliomas |
| title_sort |
segmentation of brain biomedical images to compute the volume of gliomas |
| publisher |
EDP Sciences |
| series |
ITM Web of Conferences |
| issn |
2271-2097 |
| publishDate |
2019-01-01 |
| description |
The paper presents an algorithm of segmentation of brain imaging examination results − computed tomography (CT) and positron emission tomography (PET) − to identify, compute, and visualize the brain tumors. Computer software was developed in the MATLAB environment using active contour methods: Edge and Chan-Vese. A review of the current treatment plan for patients with diagnosed glioblastoma multiforme was included to emphasize the significance of the solved problem. The work presents executed steps in the algorithm with a detailed description of thresholding process. Visual results of tumors were performed and presented. |
| url |
https://www.itm-conferences.org/articles/itmconf/pdf/2019/05/itmconf_zkwe2019_01016.pdf |
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AT kotestera segmentationofbrainbiomedicalimagestocomputethevolumeofgliomas AT siwekkrzysztof segmentationofbrainbiomedicalimagestocomputethevolumeofgliomas |
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