Research of fast initial response feature for brain segmentation on MR images with CUSUM filter
dc.contributor.author | Alkhimova, Svitlana Mykolaivna | |
dc.contributor.author | Diumin, Oleksii Dmytrovych | |
dc.date.accessioned | 2023-01-30T13:41:30Z | |
dc.date.available | 2023-01-30T13:41:30Z | |
dc.date.issued | 2020 | |
dc.description.abstracten | Perfusion region of interest for the brain can be detected effectively on DSC perfusion MR images with CUSUM filter. This detection is based on the filtering of brain boundary points among accumulated ones at the time of moving on some trajectory. The filtering of points is provided by the CUSUM decision function. Applying of fast initial response feature for CUSUM filtering scheme gives a more rapid response to the out-of-control situation, and, as a result, provides more accurate segmentation results achieved through reduced processing time. This study aimed to analyze the impact of fast initial response feature on the results of brain segmentation on DSC perfusion MR images with CUSUM filter. | uk |
dc.format.pagerange | P. 59-63 | uk |
dc.identifier.citation | Alkhimova, S. M. Research of fast initial response feature for brain segmentation on MR images with CUSUM filter / S. M. Alkhimova, O. D. Diumin // Science, research, development. Technics and technology : monografia pokonferencyjna, May 30-31, 2020, Gdansk, Poland. – Warszawa : Diamond trading tour, 2020. – № 29. – P. 59-63. | uk |
dc.identifier.uri | https://ela.kpi.ua/handle/123456789/52189 | |
dc.language.iso | en | uk |
dc.publisher | Diamond trading tour | uk |
dc.publisher.place | Warszawa | uk |
dc.source | Science, research, development. Technics and technology : monografia pokonferencyjna, May 30-31, 2020, Gdansk, Poland, № 29 | uk |
dc.subject | perfusion | uk |
dc.subject | magnetic resonance imaging | uk |
dc.subject | region of interest | uk |
dc.subject | brain segmentation | uk |
dc.title | Research of fast initial response feature for brain segmentation on MR images with CUSUM filter | uk |
dc.type | Article | uk |
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