Incorporating electromagnetic tracking into respiratory correlated imaging for high precision radiation therapy

Ryan L. Smith; Kristen Lechleiter; Kathleen Malinowski; Parag Parikh M.D.

doi:10.1117/12.772379

17 March 2008 Incorporating electromagnetic tracking into respiratory correlated imaging for high precision radiation therapy

Ryan L. Smith, Kristen Lechleiter, Kathleen Malinowski, Parag Parikh M.D.

Author Affiliations +

Proceedings Volume 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling; 691819 (2008) https://doi.org/10.1117/12.772379
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

It is well established that respiratory motion has significant effects on lung tumor position, and incorporation of this uncertainty increases the normal lung tissue irradiated. Respiratory correlated CT, which provides three dimensional image sets for different phases of the breathing cycle, is increasingly being used for radiation therapy planning. Cone beam CT is being used to obtain cross sectional imaging at the time of therapy for accurate patient set-up. However, it is not possible to obtain cross sectional respiratory correlated imaging throughout the course of radiation, leaving residual uncertainties. Recently, implantable passive transponders (Calypso Medical Technologies) have been developed which are currently FDA-cleared for prostate use only and can be tracked via an external electromagnetic array in real-time, without the use of ionizing radiation. A visualization system needs to be developed to quickly and efficiently utilize both the dynamic real-time point measurements with the previously acquired volumetric data. We have created such a visualization system by incorporating the respiratory correlated imaging and the individual transponder locations into the Image Guided Surgery Toolkit (IGSTK.org). The tool already allows quick, qualitative verification of the differences between the measured transponder position and the imaged position at planning and will support quantitative measurements displaying uncertainty in positioning.

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Ryan L. Smith, Kristen Lechleiter, Kathleen Malinowski, and Parag Parikh M.D. "Incorporating electromagnetic tracking into respiratory correlated imaging for high precision radiation therapy", Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 691819 (17 March 2008); https://doi.org/10.1117/12.772379

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KEYWORDS

Transponders

Radiotherapy

Electromagnetism

Tumors

Visualization

Lung

3D image processing

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