Signal intensity (SI) of individual pixels on sagittal magnetic resonance (MR) images of normal human knee cartilage was quantified to investigate whether it was related to cartilage proteoglycan content. In five subjects, images were acquired with spin-echo sequences with a TR msec/TE msec of 1,000 or 700/20 and a three-dimensional gradient-echo (GRE) sequence (60/15). In a sixth subject, the GRE sequence alone was used with 15 degrees, 30 degrees, and 50 degrees flip angles. In all subjects, SI was maximal in pixel layers of the medial zone and minimal at both cartilage edges, resulting in the presence of a bell-shaped curve of interpixel (zonal) SI variation across the cartilage thickness. The magnitude of SI was dependent on the pulse sequence and flip angle, but the bell shape of the SI variation curve was independent of them. For example, in the medial tibial cartilage, the peak SI was highest with the 1,000/20 spin-echo sequence, intermediate with the 700/20 sequence, and lowest with the GRE sequence. The differences were statistically significant. The bell-shaped SI variation curve resembled the curve for zonal variation in cartilage proteoglycan content but not the curves for collagen or free water content. The physiologic basis for this resemblance and the potential usefulness of the findings for early diagnosis of diseases such as osteoarthritis are discussed.
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http://dx.doi.org/10.1002/jmri.1880030404 | DOI Listing |
Eur Radiol
January 2025
Neuroradiology Section, Department of Radiology, Hospital Universitario 12 de Octubre, Madrid, Spain.
Objectives: Brain metastases are the most common intracranial malignancy in adults, and their detection is crucial for treatment planning. Post-contrast 3D T1 gradient-recalled echo (GRE) sequences are commonly used for this purpose, but contrast-enhanced 3D T1 turbo spin-echo (TSE) sequences with motion-sensitized driven-equilibrium (MSDE) technique ("black blood") may offer improved detection. This study aimed to compare the effectiveness of contrast-enhanced 3D black blood sequences to standard 3D T1 GRE sequences in detecting brain metastases on a 1.
View Article and Find Full Text PDFJ Magn Reson Imaging
February 2025
BioMedical Engineering and Imaging Institute, Icahn School of Medicine Mount Sinai, New York, New York, USA.
Background: Several factors can impair image quality and reliability of liver magnetic resonance elastography (MRE), such as inadequate driver positioning, insufficient wave propagation and patient-related factors.
Purpose: To report initial results on automatic classification of liver MRE image quality using various deep learning (DL) architectures.
Study Type: Retrospective, single center, IRB-approved human study.
Front Neurol
December 2024
Department of Neurology, Headache Outpatient Clinic, Medical University of Innsbruck, Innsbruck, Austria.
Background: There is evidence that iron metabolism may play a role in the underlying pathophysiological mechanism of migraine. Studies using (=1/ ) relaxometry, a common MRI-based iron mapping technique, have reported increased values in various brain structures of migraineurs, indicating iron accumulation compared to healthy controls.
Purpose: To investigate whether there are short-term changes in during a migraine attack.
Sci Rep
December 2024
GIN, IMN-UMR5293, CEA, CNRS, Université de Bordeaux, Bordeaux, France.
Cerebral microbleeds (CMB) represent a feature of cerebral small vessel disease (cSVD), a prominent vascular contributor to age-related cognitive decline, dementia, and stroke. They are visible as spherical hypointense signals on T2*- or susceptibility-weighted magnetic resonance imaging (MRI) sequences. An increasing number of automated CMB detection methods being proposed are based on supervised deep learning (DL).
View Article and Find Full Text PDFAJNR Am J Neuroradiol
December 2024
From the Department of Radiology (H.N.M., F.B.G.), Bai Jerbai Wadia Hospital for Children, Mumbai, Maharashtra, India.
Background And Purpose: Congenital vertebral anomalies are commonly associated with underlying spinal cord anomaly which necessitates imaging both the spinal cord and the bony vertebral column to understand the extent of the deformity better. While MRI is the gold standard for spinal cord imaging, it does not provide CT-like bone details. Many MR bone imaging techniques have been tested in various adult spine conditions in the past decade but not much has been described on their reliability in pediatric spine.
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