Detection and Evaluation of Activation Instances as Change Points in Functional MR Images
dc.contributor.author | Candemir, Cemre | |
dc.contributor.author | Oguz, Kaya | |
dc.contributor.author | Korukoglu, Serdar | |
dc.contributor.author | Gonul, Ali Saffet | |
dc.date.accessioned | 2021-05-03T20:41:37Z | |
dc.date.available | 2021-05-03T20:41:37Z | |
dc.date.issued | 2018 | |
dc.department | Ege Üniversitesi | en_US |
dc.description | 26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY | en_US |
dc.description | Oguz, Kaya/0000-0002-1860-9127 | en_US |
dc.description.abstract | Change point analysis is an efficient method for understanding the unexpected behavior of the data used in many different disciplines including medical imaging. It is important to find the instances the activations occur as much as finding the activation areas in the analysis of functional magnetic resonance imaging (fMRI). Change point detection algorithms can be used to find the activation instances. in this study, a regression based point detection method is proposed to find the activation instances in fMRI experiments. The proposed method is applied to a fMRI experiment which includes a motor task. A linear based evaluation method is also proposed. The analyses show that the activations are in accordance with the established methods in the literature. | en_US |
dc.description.sponsorship | IEEE, Huawei, Aselsan, NETAS, IEEE Turkey Sect, IEEE Signal Proc Soc, IEEE Commun Soc, ViSRATEK, Adresgezgini, Rohde & Schwarz, Integrated Syst & Syst Design, Atilim Univ, Havelsan, Izmir Katip Celebi Univ | en_US |
dc.identifier.isbn | 978-1-5386-1501-0 | |
dc.identifier.issn | 2165-0608 | |
dc.identifier.uri | https://hdl.handle.net/11454/70646 | |
dc.identifier.wos | WOS:000511448500126 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.language.iso | tr | en_US |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | 2018 26Th Signal Processing and Communications Applications Conference (Siu) | en_US |
dc.relation.ispartofseries | Signal Processing and Communications Applications Conference | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | change point problem | en_US |
dc.subject | functional MRI | en_US |
dc.subject | activation detection | en_US |
dc.subject | activation time | en_US |
dc.title | Detection and Evaluation of Activation Instances as Change Points in Functional MR Images | en_US |
dc.type | Conference Object | en_US |