A feasibility study of image registration using volumetrically classified, motion-free bony landmarks in thoracic 4DCT images for image-guided patient setup Online publication date: Fri, 12-Dec-2014
by Guang Li; Huchen Xie; Holly Ning; Deborah Citrin; Jacek Capala; Jason Cheng; Barbara C. Arora; C. Norman Coleman; Kevin Camphausen; Robert W. Miller
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 8, No. 2/3, 2012
Abstract: As rigid image registration becomes unreliable in the presence of involuntary organ motion, we present a novel approach to register CT images using stable bony landmarks for image-guided patient setup. Using 3D Volumetric Image Registration (3DVIR) technique, bony anatomy is volumetrically-classified as registration landmark, while soft tissues are ignored. Based on 4DCT, it was found that the spine, posterior ribs and clavicles do not move with respiration and remain registered throughout the breathing cycle. However, mutual information based registration produces an error of 1-2 mm due to moving soft tissues. It is suggested that the 3DVIR can improve image-guided setup.
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