TU-E-BRA-09: Evaluation of a Patient-Specific Respiratory Motion Model in Thoracic and Abdominal Phantom and Patient CT Images

Medical Physics
F LiuGig S Mageras

Abstract

We have previously described a model of patient-specific respiratory motion to predict organ deformations without assuming repeatable breath cycles. The model is derived from deformable image registration (DIR) between respiration-correlated images (RCCT), followed by a principal component analysis (PCA) which relates the first two principal components of 3D deformations to the position and direction of motion of the diaphragm or implanted fiducials. This study examines model accuracy in phantom and patient images. We compare model and DIR accuracy using 3 types of image sets, each exhibiting different deformation patterns: (1) synthetic images in lung and abdomen from the 4D NURBS-based cardiac torso (NCAT) phantom with known deformations; (2) CT scans of physical deformable phantom with implanted markers in liver; and (3) liver structures in patient RCCT images using rigid registration in a small VOI as approximate ground truth. The model is calibrated by applying fast free-form DIR between a reference image set at end expiration and each of the other images at different motion states, defined by diaphragm or, in some patient cases, implanted fiducials as surrogate signals. Following PCA, the first two principal components ar...Continue Reading

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