Unencrypted login | home

Program Information

A Moving Blocker System for Cone-Beam Computed Tomography Scatter Correction


L Ouyang

L Ouyang1*, k Song1, T Solberg1, J Wang1, (1) UT Southwestern Medical Center, Dallas, TX,

WE-G-134-3 Wednesday 4:30PM - 6:00PM Room: 134

Purpose: Scatter contamination in cone-beam computed tomography (CBCT) degrades the image quality by introducing shading artifacts. A moving-blocker-based approach has been proposed to simultaneously estimate scatter and reconstruct the complete volume within field of view (FOV) from a single CBCT scan, where promising results were obtained from simulation studies. In this work, we experimentally demonstrated the effectiveness of the moving-blocker-based scatter correction approach by implementing a moving blocker system on a LINAC on-board kV CBCT imaging system.

Methods: A physical attenuator (i.e., "blocker") consisting equal spaced lead strips was mounted on a linear actuator. A step motor connected to the actuator drove the blocker to move back and forth along gantry rotation axis during the CBCT acquisition. Scatter signal was estimated from the blocked region of imaging panel, and interpolated into the un-blocked region. A sparseness prior based statistical iterative reconstruction algorithm was used to reconstruct CBCT images from un-blocked projections after the scatter signal was subtracted. Experimental studies were performed on both a Catphan phantom and an anthropomorphic pelvic phantom to evaluate performance of the moving blocker system.

Results: The scatter-induced shading artifacts were substantially reduced in the images acquired with the moving blocker system. CT number error in selected regions of interest of reduced from 318 to 17 and from 239 to 10 for the Catphan phantom and pelvic phantom, respectively.

Conclusion: We demonstrated for the first time that the moving blocker system can successfully estimate the scatter signal in projection data, reduce the imaging dose and obtain complete volumetric information within the FOV using a single scan.

Contact Email: