SU-E-J-26: A Novel Technique for Markerless Self-Sorted 4D-CBCT Using XXXX Motion Modeling: A Feasibility Study.

@entity1 @entity5
PURPOSE: To develop an automatic markerless 4D-CBCT projection sorting technique by using a @entity1 respiratory motion model extracted from the planning 4D-CT images. METHODS: Each phase of onboard 4D-CBCT is considered as a deformation of one phase of the prior planning 4D-CT. The deformation field map (DFM) is represented as a linear combination of three major deformation patterns extracted from the planning 4D-CT using principle component analysis (PCA). The coefficients of the PCA deformation patterns are solved by matching the digitally reconstructed radiograph (DRR) of the deformed volume to the onboard projection acquired. The PCA coefficients are solved for each single projection, and are used for phase sorting. Projections at the peaks of the Z direction coefficient are sorted as phase 1 and other projections are assigned into 10 phase bins by dividing phases equally between peaks. The 4D digital extended-cardiac-torso (XCAT) phantom was used to evaluate the proposed technique. Three scenarios were simulated, with different @entity5 motion amplitude (3cm to 2cm), @entity5 spatial shift (8mm SI), and @entity5 body motion phase shift (2 phases) from prior to on-board images. Projections were simulated over 180 degree scan-angle for the 4D-XCAT. The percentage of accurately binned projections across entire dataset was calculated to represent the phase sorting accuracy. RESULTS: With a changed @entity5 motion amplitude from 3cm to 2cm, markerless phase sorting accuracy was 100%. With a @entity5 phase shift of 2 phases w.r.t. body motion, the phase sorting accuracy was 100%. With a @entity5 spatial shift of 8mm in SI direction, phase sorting accuracy was 86.1%. CONCLUSION: The XCAT phantom simulation results demonstrated that it is feasible to use prior knowledge and motion modeling technique to achieve markerless 4D-CBCT phase sorting. National Institutes of Health Grant No. R01-CA184173 Varian Medical System.
