![](/images/graphics-bg.png)
Automated Determination of Arterial Input Function for Dynamic Susceptibility Contrast MRI from Regions around Arteries Using Independent Component Analysis
Joint Authors
Chen, Sharon Chia-Ju
Tyan, Yu-Chang
Lai, Jui-Jen
Chang, Chin-Ching
Source
Radiology Research and Practice
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-07-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Purpose.
Quantitative cerebral blood flow (CBF) measurement using dynamic susceptibility contrast- (DSC-) MRI requires accurate estimation of the arterial input function (AIF).
The present work utilized the independent component analysis (ICA) method to determine the AIF in the regions adjacent to the middle cerebral artery (MCA) by the alleviated confounding of partial volume effect.
Materials and Methods.
A series of spin-echo EPI MR scans were performed in 10 normal subjects.
All subjects received 0.2 mmol/kg Gd-DTPA contrast agent.
AIFs were calculated by two methods: ( 1 ) the region of interest (ROI) selected manually and ( 2 ) weighted average of each component selected by ICA (weighted-ICA).
The singular value decomposition (SVD) method was then employed to deconvolve the AIF from the tissue concentration time curve to obtain quantitative CBF values.
Results.
The CBF values calculated by the weighted-ICA method were 41.1 ± 4.9 and 22.1 ± 2.3 mL/100 g/min for cortical gray matter (GM) and deep white matter (WM) regions, respectively.
The CBF values obtained based on the manual ROIs were 53.6 ± 12.0 and 27.9 ± 5.9 mL/100 g/min for the same two regions, respectively.
Conclusion.
The weighted-ICA method allowed semiautomatic and straightforward extraction of the ROI adjacent to MCA.
Through eliminating the partial volume effect to minimum, the CBF thus determined may reflect more accurate physical characteristics of the T 2 ⁎ signal changes induced by the contrast agent.
American Psychological Association (APA)
Chen, Sharon Chia-Ju& Tyan, Yu-Chang& Lai, Jui-Jen& Chang, Chin-Ching. 2016. Automated Determination of Arterial Input Function for Dynamic Susceptibility Contrast MRI from Regions around Arteries Using Independent Component Analysis. Radiology Research and Practice،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1115689
Modern Language Association (MLA)
Chen, Sharon Chia-Ju…[et al.]. Automated Determination of Arterial Input Function for Dynamic Susceptibility Contrast MRI from Regions around Arteries Using Independent Component Analysis. Radiology Research and Practice No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1115689
American Medical Association (AMA)
Chen, Sharon Chia-Ju& Tyan, Yu-Chang& Lai, Jui-Jen& Chang, Chin-Ching. Automated Determination of Arterial Input Function for Dynamic Susceptibility Contrast MRI from Regions around Arteries Using Independent Component Analysis. Radiology Research and Practice. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1115689
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1115689