Iterative Reconstruction Improves Both Objective and Subjective Image Quality in Acute Stroke CTP.

ABSTRACT:

Purpose

Computed tomography perfusion (CTP) imaging in acute ischemic stroke (AIS) suffers from measurement errors due to image noise. The purpose of this study was to investigate if iterative reconstruction (IR) algorithms can be used to improve the diagnostic value of standard-dose CTP in AIS.

Methods

Twenty-three patients with AIS underwent CTP with standardized protocol and dose. Raw data were reconstructed with filtered back projection (FBP) and IR with intensity levels 3, 4, 5. Image quality was objectively (quantitative perfusion values, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR)) and subjectively (overall image quality) assessed. Ischemic core and perfusion mismatch were visually rated. Discriminative power for tissue outcome prediction was determined

SUBMITTER: Flottmann F 

PROVIDER: S-EPMC4773110 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature