Results 231 to 240 of about 96,899 (345)
Abstract Purpose To develop a non‐contrast MRI method for the simultaneous acquisition of time‐resolved 3D angiographic, perfusion, and multi‐contrast T1‐weighted structural brain images in a single 6 min acquisition. Methods The proposed combined angiography and perfusion using radial imaging and arterial spin labeling with structural contrast (CAPRIA+
Thomas W. Okell +2 more
wiley +1 more source
Transcranial Doppler ultrasound validation of BOLD‐fMRI cerebral blood flow relationship
Abstract Purpose A precise understanding of the interplay between cerebral blood flow (CBF) and blood oxygen level‐dependent (BOLD) fMRI signals is essential for advancing cerebrovascular research. Although calibrated BOLD approaches often rely on arterial spin labelling (ASL) to estimate CBF, alternative validation using transcranial Doppler ...
Genevieve Hayes +3 more
wiley +1 more source
Quantitative Time-of-Flight Head Magnetic Resonance Angiography of Cerebrovascular Disease. [PDF]
Koktzoglou I +8 more
europepmc +1 more source
3D Whole‐Heart Joint T1/T1ρ Mapping and Water‐Fat Imaging on a Clinical 0.55‐T Low‐Field Scanner
A 3D joint T1/T1ρ$$ \rho $$ mapping sequence was proposed at 0.55 T. Four interleaved T1 and T1ρ$$ \rho $$ encoded 3D volumes are acquired; images are reconstructed with nonrigid respiratory motion‐correction, low‐rank patch‐based denoising (HD‐PROST) and water‐fat separation; and T1/T1ρ$$ \rho $$ maps are estimated through dictionary matching.
Michael G. Crabb +6 more
wiley +1 more source
3D time-of-flight magnetic resonance angiography of lenticulostriate artery imaging at 5.0 Tesla: a hierarchic analysis method and clinical applications. [PDF]
Mei H +10 more
europepmc +1 more source
ABSTRACT Objective We aim to increase knowledge on pregnancy and delivery risks in vascular Ehlers–Danlos Syndrome (vEDS). Our outcomes can contribute to establishing future guidelines for pregnancy and delivery management in women with vEDS. Design Retrospective multicentre cohort study.
Lisa M. van den Bersselaar +13 more
wiley +1 more source
Deep learning model for automated diagnosis of moyamoya disease based on magnetic resonance angiography. [PDF]
Lu M +13 more
europepmc +1 more source

