2017
DOI: 10.1148/radiol.2017161490
|View full text |Cite
|
Sign up to set email alerts
|

Intracranial Artery Steno-Occlusion: Diagnosis by Using Two-dimensional Spatially Selective Radiofrequency Excitation Pulse MR Imaging

Abstract: Purpose To determine whether magnetic resonance (MR) imaging by using two-dimensional spatially selective radiofrequency (RF) excitation pulses (zoomed MR imaging) is a reliable method for the diagnosis of intracranial artery steno-occlusion compared with full-field-of-view (FOV) MR imaging. Materials and Methods The institutional review board approved this retrospective study and informed consent was waived. From December 2014 to August 2015, 88 patients who underwent both full-FOV MR imaging and zoomed MR im… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
6
0

Year Published

2019
2019
2021
2021

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 6 publications
(6 citation statements)
references
References 33 publications
(17 reference statements)
0
6
0
Order By: Relevance
“…9 Time-of-flight MR angiography (TOF-MRA) is based on a 3-dimensional multiple volume acquisition for an optimal inflow effect and has evolved as an important alternative imaging modality, rendering intravenous contrast agents and exposure to radiation unnecessary. [10][11][12][13] However, the technique is comparatively slow, and generating a spatial resolution below 1 millimeter with an acceptable signal-to-noise ratio (SNR) within an acceptable scan time can be challenging and is commonly achieved by limiting the field of view (FOV). 14 Different techniques to accelerate TOF-MRA have evolved over the recent years, one of which is compressed sensing, an undersampling algorithm of the k-space that is increasingly used in various MRI applications.…”
Section: Introductionmentioning
confidence: 99%
“…9 Time-of-flight MR angiography (TOF-MRA) is based on a 3-dimensional multiple volume acquisition for an optimal inflow effect and has evolved as an important alternative imaging modality, rendering intravenous contrast agents and exposure to radiation unnecessary. [10][11][12][13] However, the technique is comparatively slow, and generating a spatial resolution below 1 millimeter with an acceptable signal-to-noise ratio (SNR) within an acceptable scan time can be challenging and is commonly achieved by limiting the field of view (FOV). 14 Different techniques to accelerate TOF-MRA have evolved over the recent years, one of which is compressed sensing, an undersampling algorithm of the k-space that is increasingly used in various MRI applications.…”
Section: Introductionmentioning
confidence: 99%
“…With its high spatial resolution and excellent soft-tissue contrast, high-resolution magnetic resonance imaging (HR-MRI) for the visualization of vessel walls and contours is of substantial interest (1). Intracranial vessel wall MRI is a useful adjunct to digital subtraction angiography for differentiating intracranial artery disease and identifying symptomatic non-stenotic disease (1234). However, the long imaging acquisition time of HR-MRI of the vessel wall is an important issue in daily clinical practice.…”
Section: Introductionmentioning
confidence: 99%
“…Conventional parallel imaging techniques such as sensitivity encoding (SENSE) or generalized autocalibrating partial parallel acquisition have been developed (56); however, they can adversely affect image quality and the visualization of target diseases. Although a two-dimensional spatially selective radiofrequency excitation pulse can achieve an acceptable reduction in scan time, this may be achieved at the cost of limited scan coverage (2). Therefore, a novel sequence for vessel HR-MRI is required, to reduce image acquisition time while maintaining image quality and vessel delineation.…”
Section: Introductionmentioning
confidence: 99%
“…31 The limited excitation FOV may resulted in lower signal-tonoise ratio and overlooking lesions beyond the FOV. 32 The proposed rFOV PI method does not impose special requirements on the RF pulse, and reconstructs full FOV image from rFOV data. The proposed rFOV PI benefits the emerging iterative reconstruction for high resolution volumetric imaging whose clinical adoption is often limited by too long reconstruction time.…”
Section: Discussionmentioning
confidence: 99%