Contour based respiratory motion analysis for free breathing CT

Authors:
Justus Adamson;Tingliang Zhuang;Fang-Fang Yin
Affiliations:
Department of Radiation Oncology, Duke University Medical Center, Box 3295, Durham NC 27710, USA;Department of Radiation Oncology, Cleveland Clinic, Mail Code T28, 9500 Euclid Avenue, Cleveland OH 44195, USA;Department of Radiation Oncology, Duke University Medical Center, Box 3295, Durham NC 27710, USA
Venue:
Computers in Biology and Medicine
Year:
2011

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Abstract

We propose a method to quantify superior-inferior (SI) motion of a rigid target using the 3D contour from free-breathing CT (FBCT). The technique utilizes similarity between 2D contours (Jaccard Index) and a population based density function for probability of motion amplitude, and is applicable both when the static target shape is and is not known beforehand. Simulations and phantom measurements showed that motion reconstruction is often feasible, with decreasing accuracy as discrepancy is introduced between assumed and actual static shape. When no static shape is used the analysis is most robust for slow scanning speeds relative to the motion period.