• DocumentCode
    1558706
  • Title

    A model-based four-dimensional left ventricular surface detector

  • Author

    Faber, Tracy L. ; Stokely, Ernest M. ; Peshock, Ronald M. ; Corbett, James R.

  • Author_Institution
    Dept. of Radiol., Univ. of Texas Southwestern Med. Center, Dallas, TX, USA
  • Volume
    10
  • Issue
    3
  • fYear
    1991
  • fDate
    9/1/1991 12:00:00 AM
  • Firstpage
    321
  • Lastpage
    329
  • Abstract
    The authors have developed a general model-based surface detector for finding the four-dimensional (three spatial dimensions plus time) endocardial and epicardial left ventricular boundaries. The model encoded left ventricular (LV) shape, smoothness, and connectivity into the compatibility coefficients of a relaxation labeling algorithm. This surface detection method was applied to gated single photon emission computed tomography (SPECT) perfusion images, tomographic radionuclide ventriculograms, and cardiac rotation magnetic resonance images. Its accuracy was investigated using actual patient data. Global left ventricular volumes correlated well, with a maximum correlation coefficient of 0.98 for magnetic resonance imaging (MRI) endocardial surfaces and a minimum of 0.88 for SPECT epicardial surfaces. The average absolute errors of edge detection were 6.4, 5.6. and 4.6 mm for tomographic radionuclide ventriculograms, gated perfusion SPECT, and magnetic resonance images, respectively
  • Keywords
    biomedical NMR; cardiology; computerised tomography; physiological models; radioisotope scanning and imaging; compatibility coefficients; endocardial left ventricular boundary; epicardial left ventricular boundary; gated perfusion SPECT; magnetic resonance imaging; maximum correlation coefficient; medical diagnostic imaging; model-based 4D left ventricular surface detector; relaxation labeling algorithm; tomographic radionuclide ventriculograms; Biomedical imaging; Cost function; Detectors; Heart; Image segmentation; Labeling; Magnetic resonance; Noise level; Shape; Tomography;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.97581
  • Filename
    97581