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Updated: Jun 25, 2025

Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli
Published on: September 25, 2016
Making acute ischemic stroke thrombi visible in MRI imaging
Aglaé Velasco Gonzalez1,2, Boris Buerke3, Dennis Görlich4
1Clinic for Radiology, University of Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany. velascoa@uni-muenster.de.
Abstract:
Knowledge of thrombus behavior and visualization on MRI in acute ischemic stroke is less than optimal. However, MRI sequences could be enhanced based on the typical T1 and T2 relaxation times of the target tissues, which mainly determine their signal intensities on imaging. We studied the relaxation times of a broad spectrum of clot analogs along with their image characteristics of three sequences analyzed: a T1-weighted turbo inversion-recovery sequence (T1w Turbo IR), a T1-weighted turbo spin echo with fat suppression (T1w TSE SPIR), and a T2-weighted 3D TSE with magnetization refocusing to remove T1 dependence (T2w TSE DRIVE). We compared their imaging behavior with the intensity values of normal brain tissue using the same imaging protocols as for clots. Each histological and biochemical clot component contributed to each of the relaxation times. Overall, histological composition correlated strongly with T1 times, and iron content, specifically, with T2 relaxation time. Using decision trees, fibrin content was selected as the primary biomarker for T1 relaxation times, inducing an increase. Up to four clot subgroups could be defined based on its distinctive T1 relaxation time. Clot signal intensity in the T1 and T2-weighted images varied significantly according to T1 and T2 relaxation times. Moreover, in comparison with normal brain tissue intensity values, T2w DRIVE images depict thrombi according to the principle of the more fibrin, the higher the intensity, and in T1w TSE, the more erythrocytes, the higher the intensity. These findings could facilitate improvements in MRI sequences for clot visualization and indicate that T2w DRIVE and T1w TSE sequences should depict the vast majority of acute ischemic stroke thrombi as more hyperintense than surrounding tissues.
Insights
Understanding thrombus MRI characteristics improves acute ischemic stroke diagnosis. This study reveals how clot composition, particularly fibrin and iron, influences MRI T1 and T2 relaxation times, enhancing clot visualization.
Area of Science:
- Biomedical Imaging
- Neuroscience
- Materials Science
Background:
- Current Magnetic Resonance Imaging (MRI) visualization of thrombi in acute ischemic stroke is suboptimal.
- MRI signal intensities are determined by tissue relaxation times (T1 and T2).
- Understanding clot composition's effect on relaxation times can enhance MRI sequences.
Purpose of the Study:
- To investigate the relationship between clot composition and MRI relaxation times (T1 and T2).
- To evaluate the imaging characteristics of various clot analogs using specific MRI sequences.
- To determine how clot components influence signal intensity for improved thrombus detection.
Main Methods:
- Studied relaxation times and MRI characteristics of diverse clot analogs.
- Analyzed three MRI sequences: T1w Turbo IR, T1w TSE SPIR, and T2w TSE DRIVE.
- Compared clot imaging behavior and intensity values with normal brain tissue.
Main Results:
- Histological composition strongly correlated with T1 relaxation times; iron content correlated with T2 relaxation times.
- Fibrin content was identified as a primary biomarker for increased T1 relaxation times, enabling clot subgroup classification.
- Clot signal intensity varied significantly with T1 and T2 relaxation times, with T2w DRIVE and T1w TSE sequences showing hyperintense thrombi.
Conclusions:
- Clot composition directly impacts MRI relaxation times and signal intensities.
- Specific MRI sequences (T2w DRIVE, T1w TSE) show promise for enhanced acute ischemic stroke thrombus visualization.
- Findings support optimizing MRI protocols for improved thrombus detection and characterization.

