DocumentCode :
2858932
Title :
The Cerebral Vascular Enhancement Effect in Establishing Diffusion Tensor Imaging Protocols
Author :
Jaswal, Rajbir ; Alvarez, Tara L. ; Alkan, Yelda ; Kim, Eun ; Biswal, Bharat B.
Author_Institution :
Dept. of Biomed. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear :
2009
fDate :
2-4 Nov. 2009
Firstpage :
771
Lastpage :
775
Abstract :
The focus of this paper is to investigate the significance of the cerebral vascular enhancement effect on diffusion tensor imaging (DTI) datasets and in establishing appropriate DTI imaging protocols. Two DTI scans are performed on each subject during the same imaging session. Between DTI scans, 22 minutes of a visual tracking experiment and 3 minutes of an alternating breath hold experiment are performed. These functional tasks, in particular the breath hold task, increase the blood flow and volume to study the vascular enhancement between the two DTI scans. Data collected from four healthy control subjects are analyzed in DTI Studio and quantified using fractional anisotropy. ROIs were selected in close proximity to the blood supply from three main cerebral arteries (posterior, middle, and anterior). Preliminary results suggest that there is a significant cerebral vascular enhancement effect between a DTI scan performed at the beginning of the experiment versus a DTI scan performed at the end of the experiment.
Keywords :
biomedical MRI; brain; pneumodynamics; protocols; alternating breath hold experiment; blood supply; cerebral vascular enhancement effect; diffusion tensor imaging protocol; visual tracking experiment; Artificial intelligence; Biomedical engineering; Biomedical imaging; Blood flow; Carotid arteries; Diffusion tensor imaging; Noise measurement; Protocols; Signal to noise ratio; USA Councils; BOLD signal; DTI Studio; Diffusion tensor imaging (DTI); cerebral arteries; cerebral blood flow (CBF); cerebral blood volume (CBV); vascular enhancement (VE);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2009. ICTAI '09. 21st International Conference on
Conference_Location :
Newark, NJ
ISSN :
1082-3409
Print_ISBN :
978-1-4244-5619-2
Electronic_ISBN :
1082-3409
Type :
conf
DOI :
10.1109/ICTAI.2009.103
Filename :
5365898
Link To Document :
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