Visualization of thrombus using iterative reconstruction and maximum intensity projection of thin-slice CT images

OBJECTIVE: Iterative reconstruction (IR) is a noise reduction method that facilitates the synthesis of maximum intensity projection (MIP) from a larger number of slices while maintaining resolution. The present study aimed to analyze whether CT evaluation using IR and MIP is ideal for thrombus evaluation of large vessel occlusions in patients with acute ischemic stroke. METHODS: Three types of images for each patient were reconstructed and categorized into three groups: the “conventional group,” evaluated using 0.5-mm slice CT, the “MIP group,” evaluated using 0.5-mm slice CT processed with MIP, and the “IR + MIP group,” evaluated with 0.5-mm slice CT processed with IR and MIP. Noise and image quality were evaluated with noise standard deviation (Noise SD) and contrast-to-noise ratio (CNR). Three experts evaluated the thrombus edge coordinates, made a visual assessment, and compared the data with the digital subtraction angiography (DSA) of the mechanical thrombectomy. RESULTS: Twenty-nine patients with cerebral infarction having large vessel occlusion were included in this study. The IR + MIP group had a lower Noise SD and a statistically higher CNR, leading to more favorable image evaluations. The thrombus assessment showed no inter-rater variability in thrombus edge identification, and the visual assessment and comparison with DSA were statistically better in the IR + MIP group. CONCLUSIONS: IR reduces noise and improves resolution. MIP in combination with IR facilitates visualization of thrombus.