Characterization of internal organ motion using skin marker positions

Ali Khamene, Jan K. Warzelhan, Sebastian Vogt, Daniel Elgort, Christophe Chefd'Hotel, Jeffrey L. Duerk, Jonathan Lewin, Frank K. Wacker, Frank Sauer

Research output: Contribution to journalConference articlepeer-review

25 Scopus citations


Internal organ motion due to breathing is a phenomenon that nullifies the rigidity assumptions in many interventional applications, ranging from image guided needle biopsies to external beam radiation therapy. In this paper, we propose a method to correlate and characterize internal organ motion with the location of skin markers. The method utilizes a MR time sequence along with tracked magnetic marker positions to establish the correlation. We perform a validation study to quantify the degree of the accuracy and the reproducibility of this correlation. The results demonstrate that patient specific correlation of internal motion and skin markers can be established and the target positioning accuracy of better than 15% of the maximum range of the target movement can be achieved.

Original languageEnglish (US)
Pages (from-to)526-533
Number of pages8
JournalLecture Notes in Computer Science
Issue number1 PART 2
StatePublished - 2004
Externally publishedYes
EventMedical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings - Saint-Malo, France
Duration: Sep 26 2004Sep 29 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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