We propose a new method for compensating patient motion in computed tomography. The method consists of analyzing the
frequency spectrum of tracked landmark points in the acquired sinogram. These landmarks are either physically attached
to the patient prior scanning, or coincide with anatomical points traceable in the sinogram. Without motion present,
these extracted landmark curves represent one period of a sine wave in full-rotation tomography. Motion compensation
is achieved by calculating the fundamental frequency component of the extracted landmark curves in order to obtain the
motion compensated landmark curve. The extracted and compensated landmark curve pairs serve for constructing a motion
map, and these are utilized to re-sort the acquired sinogram to obtain a motion compensated sinogram. Reconstructing the
motion compensated sinogram using a standard reconstruction algorithm yields the motion compensated image. The
proposed method is compared to a previously published motion artifact reduction method. The results show equal or
improved motion compensation capabilities of the proposed method for three different types of computer simulated in-plane
motion in synthetic 2D parallel-beam sinograms. The influence of inaccurate curve extraction has been simulated
and results are included. Experiments aimed at demonstrating the compensation of motion artifacts in micro-computed
tomography patient images are currently under way. In addition to compensation, future work will explore detection
and quantification of patient motion based on frequency spectrum analysis of landmark curves, potentially providing a
comprehensive tool for identifying, quantifying and correcting motion artifacts.
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