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A novel liver perfusion analysis method.

Sebastian Nowozin1, Lixu Gu

  • 1Image Guided Surgery and Therapy Laboratory, Shanghai Jiaotong University, Shanghai, China.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
PubMed
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This study introduces Level Set Methods for automated liver perfusion analysis. These methods accurately measure contrast agent concentration in MRI time series, even as liver shape changes.

Area of Science:

  • Medical Imaging
  • Image Segmentation
  • Computational Anatomy

Background:

  • Accurate measurement of contrast agent concentration in liver perfusion is crucial for clinical diagnosis.
  • Manual segmentation of liver in MRI time series is time-consuming and prone to variability.
  • Automating this process requires robust methods capable of handling dynamic anatomical changes.

Purpose of the Study:

  • To apply Level Set Methods for automated segmentation of the liver in MRI perfusion time series.
  • To enable reliable measurement of contrast agent concentration relative to liver shape over time.
  • To address the challenge of changing liver shape and location within the image series.

Main Methods:

  • Level Set segmentation applied to 2D MRI image time series.

Related Experiment Videos

  • Implicit contour methods used for tracking liver boundaries.
  • Measurement of local image properties (contrast agent concentration) relative to segmented liver shape.

    • Main Results:

    • Level Set Methods provide accurate segmentation of the liver across the time series.
    • The approach reliably measures local image intensities relative to the dynamic liver shape.
    • Demonstrated feasibility of automated contrast agent concentration measurement in dynamic liver perfusion imaging.

    Conclusions:

    • Level Set Methods are effective for automating liver segmentation in perfusion MRI.
    • This technique facilitates reliable quantification of contrast agent dynamics in the liver.
    • The developed method offers a promising solution for clinical liver perfusion analysis.