Data Analysis and Tissue Type Assignment for Glioblastoma Multiforme
Joint Authors
Liu, Xin
Pi, Yiming
Van Cauter, Sofie
Liu, Yuhan
Li, Yuqian
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-03
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Glioblastoma multiforme (GBM) is characterized by high infiltration.
The interpretation of MRSI data, especially for GBMs, is still challenging.
Unsupervised methods based on NMF by Li et al.
(2013, NMR in Biomedicine) and Li et al.
(2013, IEEE Transactions on Biomedical Engineering) have been proposed for glioma recognition, but the tissue types is still not well interpreted.
As an extension of the previous work, a tissue type assignment method is proposed for GBMs based on the analysis of MRSI data and tissue distribution information.
The tissue type assignment method uses the values from the distribution maps of all three tissue types to interpret all the information in one new map and color encodes each voxel to indicate the tissue type.
Experiments carried out on in vivo MRSI data show the feasibility of the proposed method.
This method provides an efficient way for GBM tissue type assignment and helps to display information of MRSI data in a way that is easy to interpret.
American Psychological Association (APA)
Li, Yuqian& Pi, Yiming& Liu, Xin& Liu, Yuhan& Van Cauter, Sofie. 2014. Data Analysis and Tissue Type Assignment for Glioblastoma Multiforme. BioMed Research International،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-496770
Modern Language Association (MLA)
Li, Yuqian…[et al.]. Data Analysis and Tissue Type Assignment for Glioblastoma Multiforme. BioMed Research International No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-496770
American Medical Association (AMA)
Li, Yuqian& Pi, Yiming& Liu, Xin& Liu, Yuhan& Van Cauter, Sofie. Data Analysis and Tissue Type Assignment for Glioblastoma Multiforme. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-496770
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496770