Mr. Yves Pauchard Profile

Yves Pauchard

at Univ of Calgary

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Proceedings Article | 18 March 2008 Paper

Landmark based compensation of patient motion artifacts in computed tomography

Yves Pauchard, Steven Boyd

Proceedings Volume 6913, 69133C (2008) https://doi.org/10.1117/12.768434

KEYWORDS: 3D image processing, Computed tomography, Image segmentation, Computer simulations, Motion models, Bone, Image processing, Sensors, Medical imaging, 3D image reconstruction

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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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