Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Motion artifacts in MRI: A complex problem with many partial solutions
M Zaitsev, J Maclaren, M Herbst - Journal of Magnetic …, 2015 - Wiley Online Library
Subject motion during magnetic resonance imaging (MRI) has been problematic since its
introduction as a clinical imaging modality. While sensitivity to particle motion or blood flow …
introduction as a clinical imaging modality. While sensitivity to particle motion or blood flow …
[HTML][HTML] Deep learning-based rigid motion correction for magnetic resonance imaging: a survey
Physiological and physical motions of the subjects, eg, patients, are the primary sources of
image artifacts in magnetic resonance imaging (MRI), causing geometric distortion, blurring …
image artifacts in magnetic resonance imaging (MRI), causing geometric distortion, blurring …
Are movement artifacts in magnetic resonance imaging a real problem?—a narrative review
I Havsteen, A Ohlhues, KH Madsen, JD Nybing… - Frontiers in …, 2017 - frontiersin.org
Movement artifacts compromise image quality and may interfere with interpretation,
especially in magnetic resonance imaging (MRI) applications with low signal-to-noise ratio …
especially in magnetic resonance imaging (MRI) applications with low signal-to-noise ratio …
Matrix description of general motion correction applied to multishot images
Motion of an object degrades MR images, as the acquisition is time‐dependent, and thus k‐
space is inconsistently sampled. This causes ghosts. Current motion correction methods …
space is inconsistently sampled. This causes ghosts. Current motion correction methods …
Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction
While enabling accelerated acquisition and improved reconstruction accuracy, current deep
MRI reconstruction networks are typically supervised, require fully sampled data, and are …
MRI reconstruction networks are typically supervised, require fully sampled data, and are …
MRI evaluation and safety in the develo** brain
S Tocchio, B Kline-Fath, E Kanal, VJ Schmithorst… - Seminars in …, 2015 - Elsevier
Magnetic resonance imaging (MRI) evaluation of the develo** brain has dramatically
increased over the last decade. Faster acquisitions and the development of advanced MRI …
increased over the last decade. Faster acquisitions and the development of advanced MRI …
Real‐time rigid body motion correction and shimming using cloverleaf navigators
AJW Van der Kouwe, T Benner… - Magnetic resonance in …, 2006 - Wiley Online Library
Subject motion during scanning can greatly reduce MRI image quality and is a major reason
for discarding data in both clinical and research scanning. The quality of the high‐resolution …
for discarding data in both clinical and research scanning. The quality of the high‐resolution …
Strategies to minimize sedation in pediatric body magnetic resonance imaging
C Jaimes, MS Gee - Pediatric radiology, 2016 - Springer
The high soft-tissue contrast of MRI and the absence of ionizing radiation make it a valuable
tool for assessment of body pathology in children. Infants and young children are often …
tool for assessment of body pathology in children. Infants and young children are often …
Motion artifact reduction for magnetic resonance imaging with deep learning and k-space analysis
Motion artifacts deteriorate the quality of magnetic resonance (MR) images. This study
proposes a new method to detect phase-encoding (PE) lines corrupted by motion and …
proposes a new method to detect phase-encoding (PE) lines corrupted by motion and …
K‐space in the clinic
CB Paschal, HD Morris - … Imaging: An Official Journal of the …, 2004 - Wiley Online Library
Magnetic resonance imaging (MRI) sequences are characterized by both radio frequency
(RF) pulses and time‐varying gradient magnetic fields. The RF pulses manipulate the …
(RF) pulses and time‐varying gradient magnetic fields. The RF pulses manipulate the …