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

Abstract:

OBJECTIVE: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. METHODS: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. RESULTS: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). CONCLUSIONS:Low-tube-voltage liver CT using MBIR may increase image quality and preserve diagnostic performance of hepatic vessel evaluation at reduced radiation dose.

journal_name

J Comput Assist Tomogr

authors

Hur BY,Lee JM,Joo I,Yu MH,Yoon JH,Han JK,Choi BI

doi

10.1097/RCT.0b013e3182ab6cc0

subject

Has Abstract

pub_date

2014-05-01 00:00:00

pages

367-75

issue

3

eissn

0363-8715

issn

1532-3145

journal_volume

38

pub_type

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