Concurrent kilovoltage CBCT imaging and megavoltage beam delivery: Suppression of cross-scatter with 2D antiscatter grids and grid-based scatter sampling
Farhang Bayat, Mohamed Elsayed Eldib, Brian Kavanagh, Moyed Miften,, Cem Altunbas

TL;DR
This study demonstrates that a 2D antiscatter grid combined with grid-based scatter sampling significantly reduces cross-scatter artifacts in concurrent kilovoltage CBCT imaging during megavoltage beam delivery, improving image quality.
Contribution
The paper introduces a novel combination of a 3D printed tungsten 2D antiscatter grid and grid-based scatter sampling to effectively suppress MV cross-scatter in concurrent CBCT imaging.
Findings
2D grid reduced MV cross-scatter by a factor of 3 on average.
Scatter correction within 7% accuracy improves HU accuracy from 191 HU to 3 HU.
Image contrast-to-noise ratio improved by a factor of 2-6.
Abstract
The concept of using kilovoltage (kV) and megavoltage (MV) beams concurrently has potential applications in cone beam computed tomography (CBCT) guided radiation therapy, such as single breath hold scans, metal artifact reduction, and simultaneous imaging during MV treatment delivery. However, MV cross-scatter generated during MV beam delivery degrades CBCT image quality. To address this, a 2D antiscatter grid and cross scatter correction method were investigated. a 3D printed, tungsten 2D antiscatter grid prototype was utilized to reduce MV cross-scatter fluence in kV projections during concurrent MV beam delivery. Remaining cross-scatter was corrected by using the 2D grid itself as a cross-scatter intensity sampling device, referred as Grid-based Scatter Sampling. To test this approach, kV CBCT acquisitions were performed while delivering 6 and 10 MV beams, mimicking high dose rate…
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