• DocumentCode
    3086866
  • Title

    4D alignment of bidirectional dynamic MRI sequences

  • Author

    Singh, Meghna ; Cheng, Irene ; Mandal, Mrinal

  • Author_Institution
    Department of Electrical Engineering, University of Alberta, Edmonton, Canada
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    5893
  • Lastpage
    5896
  • Abstract
    Over the past decade, research in medical imaging and visualization has seen a progression from 2D to 3D and now 4D representation of medical data. 4D (3D +time) representation allows one to not only visualize a 3D structure, but also to study its functional movement. However, due to technological limitations no current acquisition modality acquires data in 4D. Instead, 4D data is created from multiple 3D or 2D acquisitions. In this paper we describe a method that spatio-temporally aligns dynamic 2D MRI sequences acquired in bidirectional, orthogonal planes (sagittal and coronal) for 4D visualization. As a proof of concept, we focus on the assessment of swallowing as a representative application of our work. MRI sequences with unknown temporal offsets are acquired through repeated instances of swallowing. We present a method that identifies common regions of interest (ROI) in the orthogonal sequences and combines image intensity profiles from the orthogonal ROIs, via registration to a fiducial volume, to align the MRI sequences. An interesting consequence of using bidirectional acquisition planes is that video sequences in the same acquisition view (e.g all sagittal sequences) automatically get aligned with respect to each other. The bidirectional alignment results are validated by comparing the sum of squared difference (SSD) values over all possible alignments of the sagittal sequences. Experimentally it is found that a minima in the SSD values corresponds to the alignment computed by our proposed method.
  • Keywords
    Biological tissues; Biomedical imaging; Computed tomography; Data acquisition; Data visualization; Magnetic resonance imaging; Signal resolution; Spatial resolution; Ultrasonic imaging; Video sequences; Algorithms; Artificial Intelligence; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging, Cine; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650555
  • Filename
    4650555