Publications by authors named "Yufei D Zhu"

Purpose: This study sought to determine the intrasession repeatability of the diffusion-weighted (DW) arterial spin labeling (ASL) sequence at different postlabel delays (PLDs).

Methods: We first performed numerical simulations to study the accuracy of the two-compartment water exchange rate (Kw) fitting model with added Gaussian noise for DW PLDs at 1500, 1800, and 2100 ms. Ten young, healthy participants then underwent a structural T scan and two intrasession in vivo DW ASL scans at each PLD on a 3T MRI.

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Introduction: Loss of blood-brain barrier (BBB) integrity is hypothesised to be one of the earliest microvascular signs of Alzheimer's disease (AD). Existing BBB integrity imaging methods involve contrast agents or ionising radiation, and pose limitations in terms of cost and logistics. Arterial spin labelling (ASL) perfusion MRI has been recently adapted to map the BBB permeability non-invasively.

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Article Synopsis
  • The study aimed to assess the impact of cardiac pulsation on the deformation of the thoracic aorta after ascending thoracic endovascular aortic repair (TEVAR) in patients participating in the GORE ARISE Early Feasibility Study.
  • Fifteen patients (average age 73) underwent detailed imaging to measure various geometric aspects of the thoracic aorta during different cardiac phases, revealing changes in curvature and diameter in specific sections.
  • Results indicated that TEVAR significantly dampens pulsatile deformations in the ascending aorta while affecting the descending aorta differently, providing valuable data for evaluating the performance of aortic devices and understanding their long-term effects.
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Purpose: The thoracic aorta is a highly mobile organ whose dynamics are altered by thoracic endovascular aorta repair (TEVAR). The aim of this study was to quantify cardiac pulsatility-induced multi-axial deformation of the thoracic aorta before and after descending aortic TEVAR.

Methods: Eleven TEVAR patients (8 males and 3 females, age 57-89) underwent retrospective cardiac-gated CT angiography before and after TEVAR.

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The study purpose is to optimize modeling parameters, specifically segmentation spacing and centerline extraction, to efficiently construct accurate 3D aortic models. Models are constructed by centerline extraction and orthogonal 2D segmentations. We examine the effect of segmentation interval spacing (2, 1, 0.

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