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. 2024 May 30;14(11):1146.
doi: 10.3390/diagnostics14111146.

Impact of Various Non-Contrast-Enhanced MRA Techniques on Lumen Visibility in Vascular Flow Models with a Surpass Evolve Flow Diverter

Yigit Ozpeynirci  1 , Margarita Gorodezky  2 , Augusto Fava Sanches  1 , Sagar Mandava  3 , Ana Beatriz Solana  2   4 , Thomas Liebig  1
Affiliations

Impact of Various Non-Contrast-Enhanced MRA Techniques on Lumen Visibility in Vascular Flow Models with a Surpass Evolve Flow Diverter

Yigit Ozpeynirci et al. Diagnostics (Basel). .

Abstract

Background: Silent MRA has shown promising results in evaluating the stents used for intracranial aneurysm treatment. A deep learning-based denoising and deranging algorithm was recently introduced by GE HealthCare. The purpose of this study was to compare the performance of several MRA techniques regarding lumen visibility in silicone models with flow diverter stents.

Methods: Two Surpass Evolve stents of different sizes were implanted in two silicone tubes. The tubes were placed in separate boxes in the straight position and in two different curve configurations and connected to a pulsatile pump to construct a flow loop. Using a 3.0T MRI scanner, TOF and silent MRA images were acquired, and deep learning reconstruction was applied to the silent MRA dataset. The intraluminal signal intensity in the stent (SIin-stent), in the tube outside the stent (SIvessel), and of the background (SIbg) were measured for each scan.

Results: The SIin-stent/SIbg and SIin-stent/SIv ratios were higher in the silent scans and DL-based reconstructions than in the TOF images. The stent tips created severe artefacts in the TOF images, which could not be observed in the silent scans.

Conclusions: Our study demonstrates that the DL reconstruction algorithm improves the quality of the silent MRA technique in evaluating the flow diverter stent patency.

Keywords: deep learning; flow diverter; intracranial aneurysm; silent MRA.

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Conflict of interest statement

T.L. proctors and consults for Stryker and has in the past 3 years received service-related fees from Stryker. The other authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
A close-up of the silicone tubes.
Figure 2
Figure 2
Flow phantom setup demonstrating the scanner (right) and the pump and the flowmeter in the control area (left).
Figure 3
Figure 3
Schematic representation of the experimental setup. Dashed line represents the separation between the control and magnet areas.
Figure 4
Figure 4
Three-dimensional maximum intensity projection images of straight models with and without stents acquired using different non-contrast-enhanced MRA techniques. TOF: time of flight; SIL: silent sequence; DL: deep learning.
Figure 5
Figure 5
Three-dimensional maximum intensity projection images of the curved models (obtuse angle, C1) with and without stents acquired using different non-contrast-enhanced MRA techniques. TOF: time of flight; SIL: silent sequence; DL: deep learning.
Figure 6
Figure 6
Three-dimensional maximum intensity projection images of the curved models (right angle, C2) with and without stents acquired using different non-contrast-enhanced MRA techniques. TOF: time of flight; SIL: silent sequence; DL: deep learning.
See this image and copyright information in PMC

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