Improving cone-beam computed tomography image quality for transarterial therapy of liver malignancies: Evaluation of a motion correction algorithm with and without automated bone removal.

ABSTRACT:

Objectives

The objectives of the study are to compare the effect on image quality of a motion artifact correction algorithm (CAVAREC) alone versus in combination with an automated bone removal algorithm (ZIBOS) for motion-degraded intraprocedural liver cone-beam computed tomography (CBCT) images.

Material and methods

In this retrospective, two-center, Institutional Review Board (IRB)-approved study, 48 CBCTs from 41 patients were included. Inclusion criteria were (a) age ≥18; (b) liver CBCT with contrast injected at the main, right, or left hepatic artery; and (c) CBCT motion-degraded. Exclusion criteria were (a) no visible tumor and (b) CBCT not capturing the entire liver. The mean (standard deviation [SD]) age was 64 (7) years, 81% male. 65% had hepatocellular carcinoma an

SUBMITTER: Mustafa AR 

PROVIDER: S-EPMC12707598 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature