• 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