Analysis of Time-Varing Images Using 3-D Vascular Models

  • Authors:
  • Elizabeth Bullitt;Stephen R. Aylward

  • Affiliations:
  • -;-

  • Venue:
  • AIPR '01 Proceedings of the 30th on Applied Imagery Pattern Recognition Workshop
  • Year:
  • 2001

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Abstract

A medical image traditionally represents a"snapshot" of a portion of the patient's anatomy at aparticular moment in time. However, the appearance ofimage objects often varies between images taken atdifferent times. Such changes may occur because ofdifferences in the image acquisition techniques employed,because of shifts in the positions of organs, or because ofdevelopment, progression, or regression of pathology.We have developed a method of defining vessel "trees"from 3D image data. These vessel trees can then beregistered with any type of 2-or 3D image data obtainedfrom the same patient and that show the vasculature.Changes in vascular configuration can then be used notonly to clarify vascular changes over time, but also tohelp determine the location and/or change in ther imageobjects. As vessels are present throughout the body, theapproach is applicable to any anatomical region.