DocumentCode
2338808
Title
Analysis of fMRI Data by Mathematical Morphology
Author
Kang Yun ; Ye De-Rong
Author_Institution
Sch. of Biomed. Eng., Capital Med. Univ., Beijing, China
fYear
2010
fDate
23-25 April 2010
Firstpage
1
Lastpage
3
Abstract
Based on investigation of the characteristic of fMRI signals in block design, we present a mathematical morphology method for fMRI analysis. With both simulated data and real fMRI data, the results of our experiments show that the proposed method can approximately detect the activations without requiring any statistical model assumption. The proposed method is fairly easy to be implemented. It also can be used for improving the accuracy of clustering methods, and reducing the computational cost.
Keywords
biomedical MRI; data analysis; mathematical morphology; medical image processing; pattern clustering; statistical analysis; clustering methods; fMRI data analysis; fMRI signal; functional magnetic resonance imaging; mathematical morphology method; statistical model assumption; Biomedical engineering; Clustering methods; Computational efficiency; Data analysis; Frequency; Hemodynamics; Low-frequency noise; Morphology; Signal analysis; Signal design;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5315-3
Type
conf
DOI
10.1109/ICBECS.2010.5462351
Filename
5462351
Link To Document