Paper
17 March 2008 Fiducial migration following small peripheral lung tumor image-guided CyberKnife stereotactic radiosurgery
Konrad L. Strulik, Min H. Cho, Brian T. Collins, Noureen Khan, Filip Banovac, Rebecca Slack, Kevin Cleary
Author Affiliations +
Abstract
To track respiratory motion during CyberKnife stereotactic radiosurgery in the lung, several (three to five) cylindrical gold fiducials are implanted near the planned target volume (PTV). Since these fiducials remain in the human body after treatment, we hypothesize that tracking fiducial movement over time may correlate with the tumor response to treatment and pulmonary fibrosis, thereby serving as an indicator of treatment success. In this paper, we investigate fiducial migration in 24 patients through examination of computed tomography (CT) volume images at four time points: pre-treatment, three, six, and twelve month post-treatment. We developed a MATLAB based GUI environment to display the images, identify the fiducials, and compute our performance measure. After we semi-automatically segmented and detected fiducial locations in CT images of the same patient over time, we identified them according to their configuration and introduced a relative performance measure (ACD: average center distance) to detect their migration. We found that the migration tended to result in a movement towards the fiducial center of the radiated tissue area (indicating tumor regression) and may potentially be linked to the patient prognosis.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Konrad L. Strulik, Min H. Cho, Brian T. Collins, Noureen Khan, Filip Banovac, Rebecca Slack, and Kevin Cleary "Fiducial migration following small peripheral lung tumor image-guided CyberKnife stereotactic radiosurgery", Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69181A (17 March 2008); https://doi.org/10.1117/12.769042
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KEYWORDS
Computed tomography

Image segmentation

Tumors

Lung

MATLAB

Tissues

X-ray computed tomography

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