SU‐G‐BRA‐07: An Innovative Fiducial‐Less Tracking Method for Radiation Treatment of Abdominal Tumors by Diaphragm Disparity Analysis

Abstract

Purpose:To investigate the feasibility of tracking abdominal tumors without the use of gold fiducial markersMethods:In this simulation study, an abdominal 4DCT dataset, acquired previously and containing 8 phases of the breathing cycle, was used as the testing data. Two sets of DRR images (45 and 135 degrees) were generated for each phase. Three anatomical points along the lung‐diaphragm interface on each of the Digital Reconstructed Radiograph(DRR) images were identified by cross‐correlation. The gallbladder, which simulates the tumor, was contoured for each phase of the breathing cycle and the corresponding centroid values serve as the measured center of the tumor. A linear model was created to correlate the diaphragm's disparity of the three identified anatomical points with the center of the tumor. To verify the established linear model, we sequentially removed one phase of the data (i.e., 3 anatomical points and the corresponding tumor center) and created new linear models with the remaining 7 phases. Then we substituted the eliminated phase data (disparities of the 3 anatomical points) into the corresponding model to compare model‐generated tumor center and the measured tumor center.Results:The maximum difference between the modeled and the measured centroid values across the 8 phases were 0.72, 0.29 and 0.30 pixels in the x, y and z directions respectively, which yielded a maximum mean‐squared‐error value of 0.75 pixels. The outcomes of the verification process, by eliminating each phase, produced mean‐squared‐errors ranging from 0.41 to 1.28 pixels.Conclusion:Gold fiducial markers, requiring surgical procedures to be implanted, are conventionally used in radiation therapy. The present work shows the feasibility of a fiducial‐less tracking method for localizing abdominal tumors. Through developed diaphragm disparity analysis, the established linear model was verified with clinically accepted errors. The tracking method in real time under different radiation therapy platforms will be further investigated.