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Semiautomated ROI Analysis in Dynamic MRI-Studies, Part I: Image Analysis Tools for Automatic Correction of Organ Displacements

G. Gerig, R. Kikinis, W. Kuoni, G.K. von Schulthess and O. Kübler
Journal of Computer Assisted Tomography
Vol. 15, No. 5, pp. 725-732, 1991

Abstract

The most important problem in the analysis of time-sequences is the compensation for artefactual motion. Due to motion, medical images of the abdominal region do not represent organs with fixed configuration. Analysis of organ function with dynamic contrast media studies using regions of interest (ROI) is thus not readily accomplished. Images of the organ of interest need to be registered and corrected prior to a detailed local analysis. We have developed an image analysis scheme which allows the automatic detection of the organ contours, the extraction of the motion parameters per frame and the registration of images. The complete procedure requires only minimal user interaction and results in a readjusted image sequence, where organs of interest remain fixed. Both, a visual analysis of the dynamic behavior of functional properties, such as a quantitative statistical analysis of signal intensity versus time within local regions-of-interest, is considerably facilitated using the corrected series.


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@Article{eth_biwi_00002,
  author = {G. Gerig and R. Kikinis and W. Kuoni and G.K. von Schulthess and O. K\"ubler},
  title = {Semiautomated ROI Analysis in Dynamic MRI-Studies, Part I: Image Analysis Tools for Automatic Correction of Organ Displacements},
  journal = {Journal of Computer Assisted Tomography},
  year = {1991},
  month = {},
  pages = {725-732},
  volume = {15},
  number = {5},
  keywords = {medical image analysis, grouping, parametric, model-based, recognition, segmentation, MR imaging}
}