Prediction of 3D internal organ position from skin surface motion: results from electromagnetic tracking studies

Kenneth H. Wong; Jonathan Tang; Hui James Zhang; Emmanuel Varghese; Kevin R. Cleary

doi:10.1117/12.596843

12 April 2005 Prediction of 3D internal organ position from skin surface motion: results from electromagnetic tracking studies

Kenneth H. Wong, Jonathan Tang, Hui James Zhang, Emmanuel Varghese, Kevin R. Cleary

Author Affiliations +

Proceedings Volume 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display; (2005) https://doi.org/10.1117/12.596843
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

An effective treatment method for organs that move with respiration (such as the lungs, pancreas, and liver) is a major goal of radiation medicine. In order to treat such tumors, we need (1) real-time knowledge of the current location of the tumor, and (2) the ability to adapt the radiation delivery system to follow this constantly changing location. In this study, we used electromagnetic tracking in a swine model to address the first challenge, and to determine if movement of a marker attached to the skin could accurately predict movement of an internal marker embedded in an organ. Under approved animal research protocols, an electromagnetically tracked needle was inserted into a swine liver and an electromagnetically tracked guidewire was taped to the abdominal skin of the animal. The Aurora (Northern Digital Inc., Waterloo, Canada) electromagnetic tracking system was then used to monitor the position of both of these sensors every 40 msec. Position readouts from the sensors were then tested to see if any of the movements showed correlation. The strongest correlations were observed between external anterior-posterior motion and internal inferior-superior motion, with many other axes exhibiting only weak correlation. We also used these data to build a predictive model of internal motion by taking segments from the data and using them to derive a general functional relationship between the internal needle and the external guidewire. For the axis with the strongest correlation, this model enabled us to predict internal organ motion to within 1 mm.

Citation Download Citation

Kenneth H. Wong, Jonathan Tang, Hui James Zhang, Emmanuel Varghese, and Kevin R. Cleary "Prediction of 3D internal organ position from skin surface motion: results from electromagnetic tracking studies", Proc. SPIE 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display, (12 April 2005); https://doi.org/10.1117/12.596843

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