Journal of computer assisted tomography

Liver computed tomography with low tube voltage and model-based iterative reconstruction algorithm for hepatic vessel evaluation in living liver donor candidates.

PMID 24681870


The objective of this study was to investigate the image quality and diagnostic performance of model-based iterative reconstruction (MBIR) for hepatic vessel evaluation on low-tube-voltage (100 kilovolt [peak]) liver computed tomography (CT) for living donors. Fifty-one liver donor candidates (low-kilovolt group) underwent low-tube-voltage CT, which was reconstructed using filtered back projection, adaptive statistical iterative reconstruction, and MBIR. Additional 51 donor candidates who underwent 120-kilovolt (peak) CT using FBP were selected as matching control (standard group). The volume CT dose index, image noise, contrast-to-noise ratios, diagnostic accuracy, and confidence of hepatic vasculatures were evaluated. Significant dose reduction was obtained with low-tube-voltage CT. The MBIR images of the low-kilovolt group showed significantly lower image noise and higher contrast-to-noise ratios than did the other image sets (P < 0.001). Regarding diagnostic accuracy and confidence of hepatic vessel anatomic variations with surgical correlation, the MBIR images provided results equivalent to those of other images (P > 0.05). Low-tube-voltage liver CT using MBIR may increase image quality and preserve diagnostic performance of hepatic vessel evaluation at reduced radiation dose.