Optimized raw data selection for artifact reduction of breathing controlled four-dimensional sequence scanning.

ABSTRACT:

Background and purpose

Even with most breathing-controlled four-dimensional computed tomography (4DCT) algorithms image artifacts caused by single significant longer breathing still occur, resulting in negative consequences for radiotherapy. Our study presents first phantom examinations of a new optimized raw data selection and binning algorithm, aiming to improve image quality and geometric accuracy without additional dose exposure.

Materials and methods

To validate the new approach, phantom measurements were performed to assess geometric accuracy (volume fidelity, root mean square error, Dice coefficient of volume overlap) for one- and three-dimensional tumor motion trajectories with and without considering motion hysteresis effects. Scans without significantly longer brea

SUBMITTER: Szkitsak J 

PROVIDER: S-EPMC11128500 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature