Results 111 to 120 of about 78,502 (243)

Mesoscale Whole‐Brain T2*‐Weighted and Associated Quantitative MRI in Humans at 10.5 T

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To demonstrate mesoscale whole‐brain T2*‐weighted (T2*w) MRI at 10.5 T, quantify R2* relaxation rate and magnetic susceptibility (χ), and evaluate T2*w contrast at such high field strength. Methods Multi‐echo GRE (ME‐GRE) data were collected in healthy adults at 0.5 mm isotropic resolution at 10.5 T.
Jiaen Liu, Peter van Gelderen, Jacco A. de Zwart, Jeff H. Duyn, Yujia Huang, Shuxian Qu, Andrea Grant, Edward J. Auerbach, Matt Waks, Russell L. Lagore, Lance Delabarre, Alireza Sadeghi‐Tarakameh, Yigitcan Eryaman, Gregor Adriany, Kamil Uğurbil, Xiaoping Wu   +15 more
wiley   +1 more source

The Impact and Reliability of Tissue Segmentation on In Vivo Magnetic Resonance Spectroscopy Metabolite Quantification

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Quantification of metabolite concentrations using MRS requires tissue‐dependent signal corrections. Accurate estimation of voxel tissue composition is therefore essential. Commonly used brain tissue segmentation tools differ in their algorithms and implementation, potentially introducing variability in MRS‐derived concentration ...
Jessica Archibald, Kay Chioma Igwe, Antonia Kaiser, Karl Landheer, Jaimie Lee, John L. K. Kramer, Aaron T. Gudmundson, Helge J. Zöllner, Georg Oeltzschner, Candace C. Fleischer, Niklaus Zölch, Jamie Near, Mark Mikkelsen   +12 more
wiley   +1 more source

Simultaneous Assessment of Intracranial Artery and Paravascular CSF Pulsation Using 3D Whole‐Brain Diffusion‐Prepared Cine bSSFP (DECAF) MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To propose a noninvasive and quantitative MRI approach to simultaneously assessing intracranial artery pulsation and paravascular cerebrospinal fluid (CSF) pulsation in the human brain. Methods We developed a 3D whole‐brain Diffusion‐prepared Cine bSSFP (DECAF) MRI technique, with improved motion‐sensitized driven‐equilibrium providing
Chang Ni, Xiangjian Hou, SeyyedKazem HashemizadehKolowri, Seong‐Eun Kim, Qiuting Wen, Nicholas A. Frost, J. Scott McNally, Chun Yuan, Xiaodong Ma   +8 more
wiley   +1 more source

A few-shot learning framework for the diagnosis of osteopenia and osteoporosis using knee X-ray images

Journal of International Medical Research
Objective We developed a few-shot learning (FSL) framework for the diagnosis of osteopenia and osteoporosis in knee X-ray images. Methods Computer vision models containing deep convolutional neural networks were fine-tuned to enable generalization from ...
Hua Xie, Chenqi Gu, Wenchao Zhang, Jiacheng Zhu, Jin He, Zhou Huang, Jinzhou Zhu, Zhonghua Xu   +7 more
doaj   +1 more source

MR Spectroscopy Without Water Suppression Using the Gradient Impulse Response Function

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Non‐water‐suppressed proton spectroscopy, 1H‐MRS, is desirable, as retaining the strong water resonance can facilitate automated online data corrections, internal concentration referencing, and monitoring of line narrowing effects in functional MRS.
James B. Bacon, Peter Jezzard, William T. Clarke   +2 more
wiley   +1 more source

DeepRelaxo: Fast Mono‐Exponential Magnitude Brain R2* Mapping With Reduced Echoes Using Self‐Supervised Deep Learning

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose We introduce DeepRelaxo, a fast and generalizable deep learning method for estimating brain R2* maps from multi‐echo gradient echo (ME‐GRE) acquisitions with arbitrary echo configurations, including shortened echo trains for accelerated scans.
Samiha Prima, Zhuang Xiong, Alan H. Wilman, Hongfu Sun   +3 more
wiley   +1 more source

Task-Adaptive Multi-Source Representations for Few-Shot Image Recognition

Information
Conventional few-shot learning (FSL) mainly focuses on knowledge transfer from a single source dataset to a recognition scenario with only a few training samples available but still similar to the source domain.
Ge Liu, Zhongqiang Zhang, Xiangzhong Fang   +2 more
doaj   +1 more source

Four Directions, One Solution: Enabling Rapid Diffusion Tensor MRI for Ultra‐Low Field Using Deep Learning

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study revisits the tetrahedral encoding strategy originally proposed to accelerate Diffusion Tensor Magnetic Resonance Imaging (DT‐MRI) by reducing the requisite number of diffusion‐weighted measurements to four. We examine its practical limitations and explore how artificial intelligence (AI) can extend its utility. Specifically,
Joshua Mawuli Ametepe, James Gholam, Leandro Beltrachini, Mara Cercignani, Derek Kenton Jones   +4 more
wiley   +1 more source

Ultrafast fMRI Detects Age‐Related Changes in Harmonics of Cardiac Pulsations in the Brain at 7 T

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Aging impacts pulsatility of blood vessels in the brain, reflecting vascular health. Resolving characteristics of cardiac pulsatility requires faster acquisitions than traditional fMRI. An ultrafast fMRI method was developed and applied to sample several harmonics of cardiac pulsations at 7 T.
Charles Marchini, Dema Abdelkarim, Yuhui Chai, Monica Fabiani, Gabriele Gratton, Bradley P. Sutton   +5 more
wiley   +1 more source

Predicting brain age in children aged 2–6 years with autism spectrum disorders using routine T1‐ and T2‐weighted magnetic resonance imaging

Pediatric Investigation, EarlyView.
The routine magnetic resonance imaging‐based model accurately predicted brain age in children aged 2–6. Children with autism spectrum disorder (ASD) exhibited maturational delays at ages 3–5, shifting toward accelerated aging by age 5–6. This exploratory result highlights the dynamic, age‐related developmental heterogeneity in ASD.
Zunying Hu, Rongjia Xiang, Huanyu Luo, Di Hu, Huiying Kang, Huanjie Li, Xin Fan, Yun Peng   +7 more
wiley   +1 more source