Primary Objective: To use breath-hold functional magnetic resonance imaging (fMRI) to localize the brain regions with impaired cerebrovascular reactivity (CVR) in a female patient diagnosed with mild traumatic brain injury (mTBI). The extent of impaired CVR was evaluated 2 months after concussion. Follow-up scan was performed 1 year post-mTBI using the same breath-hold fMRI technique.
Research Design: Case report.
Methods And Procedures: fMRI blood oxygenation dependent level (BOLD) signals were measured under breath-hold challenge in a female mTBI patient 2 months after concussion followed by a second fMRI with breath-hold challenge 1 year later. CVR was expressed as the percentage change of BOLD signals per unit time of breath-hold.
Main Outcomes: In comparison with CVR measurement of normal control subjects, statistical maps of CVR revealed substantial neurovascular deficits and hemispheric asymmetry within grey and white matter in the initial breath-hold fMRI scan. Follow-up breath-hold fMRI performed 1 year post-mTBI demonstrated normalization of CVR accompanied with symptomatic recovery.
Conclusions: CVR may serve as an imaging biomarker to detect subtle deficits in both grey and white matter for individual diagnosis of mTBI. The findings encourage further investigation of hypercapnic fMRI as a diagnostic tool for mTBI.
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http://dx.doi.org/10.3109/02699052.2014.974209 | DOI Listing |
Quant Imaging Med Surg
December 2024
Department of Medical Imaging, the People's Hospital of Liuyang, Liuyang, China.
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December 2024
Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Background: Segmented cine imaging using a balanced steady-state free precession sequence is the gold standard for accurately quantifying cardiac function and myocardial mass. However, this method suffers from inefficient K-space sampling, resulting in long scan times, and requires multiple breath holds that can be difficult for some patients. Real-time compressed sensing (CS) cine reduces image acquisition time through K-space undersampling and iterative reconstruction, enabling rapid magnetic resonance (MR) imaging.
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December 2024
Department of Radiology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China.
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View Article and Find Full Text PDFFront Cardiovasc Med
December 2024
Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States.
Purpose: Evaluate the feasibility of quantification of Relaxation Along a Fictitious Field in the 2nd rotating frame (RAFF2) relaxation times in the human myocardium at 3 T.
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ArXiv
December 2024
Biomedical Engineering, The Ohio State University, Columbus, OH, USA.
Cardiovascular magnetic resonance imaging is a powerful diagnostic tool for assessing cardiac structure and function. Traditional breath-held imaging protocols, however, pose challenges for patients with arrhythmias or limited breath-holding capacity. We introduce Motion-Guided Deep Image prior (M-DIP), a novel unsupervised reconstruction framework for accelerated real-time cardiac MRI.
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