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Nuclear Magnetic Resonance

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Most cited protocols related to «Nuclear Magnetic Resonance»

All participants had an anatomical 3D T1-weighted magnetic resonance imaging (MRI) scan (3 T Siemens). The image analyses were performed using the Medical Image NetCDF software toolbox (www.bic.mni.mcgill.ca/ServicesSoftware/MINC). In brief, the T1-weighted images were corrected for field distortions, segmented, nonuniformity corrected, and processed using the CIVET pipeline [16 (link)]. Subsequently, the T1-weighted images were linearly registered to the MNI reference template space [17 (link)], whereas the PET images were automatically coregistered to the individual’s MRI space. Then, the final PET linear registration was performed using the transformations obtained from the MRI to MNI linear template and the PET to T1-weighted native image. PET images were then spatially smoothed to achieve a final resolution of 8-mm full-width at half maximum. ROIs were obtained from the MNI nonlinear ICBM atlas and subsequently reoriented to the individual’s linear space [18 (link)]. The ROIs were tailored from the frontal, medial prefrontal, orbitofrontal, precuneus, anterior (ACC) and posterior cingulate (PCC), lateral and mediobasal temporal, inferior parietal, parahippocampus, hippocampus, insula, occipitotemporal, occipital pole, and cerebellar cortices as well as from the striatum, the pons, and the telencephalon white matter (cerebellar white matter not included). Subsequently, the ROIs were applied to the dynamic PET frames to obtain the time–activity curve data. The parametric images and the ROI standardized uptake value ratios (SUVRs) were measured for multiple different scan time frames and were generated using the cerebellar gray matter as the reference. Amyloid-PET positivity was determined visually by two raters blind to clinical diagnosis. Further information regarding the imaging methods pipeline may be found elsewhere [19 (link), 20 (link)].
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Publication 2018
Amyloid Proteins Cerebellar Gray Matter Cortex, Cerebellar Diagnosis Insula of Reil Nuclear Magnetic Resonance Pons Posterior Cingulate Cortex Precuneus Radionuclide Imaging Reading Frames Seahorses Striatum, Corpus Telencephalon Visually Impaired Persons Viverridae White Matter White Matter, Cerebellar
Amyloid PET imaging was performed with Pittsburgh compound B (Klunk et al., 2004 (link)). Tau PET was performed with AV1451, synthesized on site with precursor supplied by Avid Radiopharmaceuticals (Schwarz et al., 2016 (link)). Late uptake amyloid PET images were acquired 40–60 min and tau PET 80–100 min after injection. CT was obtained for attenuation correction.
Amyloid PET and tau PET were analysed with our in-house fully automated image processing pipeline where image voxel values are extracted from automatically labelled regions of interest propagated from an MRI template. Amyloid and tau PET standardized uptake value ratio (SUVR) values were formed by normalizing target regions of interest to the cerebellar crus grey matter (Jack et al., 2017 (link)). The amyloid PET target was the prefrontal, orbitofrontal, parietal, temporal, anterior cingulate, posterior cingulate and precuneus regions of interest (Jack et al., 2017 (link)). Amyloid PET data were not partial volume corrected. The cut-point used to define abnormality (i.e. A+) on amyloid PET was SUVR 1.42 [centiloid 19 (Klunk et al., 2015 (link))] based on the threshold value beyond which the rate of change in amyloid PET reliably increases (Jack et al., 2017 (link)).
Tau PET data were processed as follows: following PET to magnetic resonance spatial registration, a binary brain tissue mask (from the MRI) was resampled into PET voxel dimensions and smoothed with a 6 mm full-width at half-maximum Gaussian filter (approximately the point spread function of the PET camera) to generate a smoothed tissue mask. At each voxel the PET image was divided by the value in the mask to generate a partial volume corrected (PVC) PET image (Meltzer et al., 1990 (link)). An unsmoothed binary MRI grey matter mask was then applied to the PVC PET image to give a grey matter sharpened PET image. Atlas region of interest values were extracted as above for amyloid PET. For comparison, we also analysed PET images without PVC.
Publication 2018
Amyloid Proteins AV-1451 Brain Cerebellar Gray Matter Gray Matter Gyrus, Anterior Cingulate Leg Nuclear Magnetic Resonance Pittsburgh compound B Posterior Cingulate Cortex Precuneus Radiopharmaceuticals Tissues

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Publication 2016
Anisotropy Biopharmaceuticals Diffusion Diffusion Magnetic Resonance Imaging ECHO protocol fMRI Genetic Heterogeneity Nuclear Magnetic Resonance Parahippocampal Gyrus Perfusion Pharmaceutical Preparations Radionuclide Imaging Temporal Lobe White Matter
Magnetic resonance data were acquired using the same general data acquisition protocol, described in an earlier report (Flory et al., 2010 (link)). Following a 12-h fast, the monkeys were removed from their home cages under 10 mg/kg of ketamine anesthesia (Vedco, St. Joseph, MO, USA) and transported to the adjacent MRI facility (under 5 min transport time). At the MRI facility, an endotracheal tube was inserted and anesthesia was maintained by the inhalation of 1.5% isoflurane gas (Butler Animal Health Supply, Dublin, OH, USA) and oxygen (Polar Cryogenics Inc, Portland, OR, USA).
The monkeys were then placed inside a Siemens Trio whole-body 3T MRI system (Erlangen, Germany). For 12 animals, their heads were positioned in the center of a circularly-polarized extremity transmit/receive RF coil. For the remaining 8 animals, a circularly-polarized transmit, 8-element receive (InVivo, Orlando, FL, USA) RF coil was used instead.
After positioning the monkey in the scanner, a set of five to six T1-weighted MP-RAGE images (TE = 4.38 ms, TR = 2500 ms, TI = 1100 ms) were obtained in 7 min 58 s acquisition time per image. For each image, the number of averages (NEX) was equal to 1, voxel sizes were 0.5 mm isotropic, and 128 slices were acquired. In-plane image sampling consisted of 128 and 96 data points in the readout and phase-encode directions, respectively, with no sub-sampling or acceleration factors. The signal-to-noise ratios of images obtained with the two RF coils, averaged over the brain, were within 10% of each other.
Images from all animals were inspected for quality and gross anatomical malformations that would render the images unsuitable for atlas generation. As a result of this survey, one animal was excluded from further processing due to abnormal posterior lateral ventricle anatomy (an image of this animal’s brain with the abnormality visible can, however, be seen in Figure 9 below). A total of 111 images acquired from the remaining 19 animals was thus incorporated into the INIA19 atlas.
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Publication 2012
Acceleration Anesthesia Animals Brain Congenital Abnormality Head Human Body Inhalation Isoflurane Ketamine Monkeys Nuclear Magnetic Resonance Oxygen Rage TRIO protein, human Ventricle, Lateral Vision
Eight healthy male subjects (mean age, 30 ± 7 years; range, 23–41 years) were evaluated using an IRB approved protocol. All volunteers had no previous history of lower extremity injury or surgery prior to completing the test protocol.
One knee of each subject was imaged using a 3T MR scanner (Trio Tim, Siemens Medical Solutions USA, Malvern, PA) at the Center for Advanced Magnetic Resonance Development at Duke University. Coronal, sagittal, and axial images were acquired from the subjects while lying in a supine position using a double-echo steady-state sequence (DESS) and an eight-channel receive-only knee coil with a field of view of 15 × 15 cm2, a matrix of 512 × 512 pixels2, and slice thickness of 1 mm (flip angle: 25°; repetition time: 17 ms; echo time: 6 ms). From the three views of the MRI scans, outlines of the femur and tibia were segmented using solid-modeling software (Rhinoceros 4.0, Robert McNeel and Associates, Seattle, WA), as described in previous studies.2 (link),56 (link) Additionally, the attachment site of the ACL was outlined in the three planes of view. Knowing the voxel size, these outlines were then used to create 3D models of the distal femur and proximal tibia, as well as the footprints of the ACL on each. Orthogonal image sets were used to confirm the shape and position of the ACL. The ACL footprint was further divided into anteromedial (AM) and posterolateral (PL) bundles,28 (link) as described previously in the literature (Fig. 1).33 (link),38 (link) A previous validation study has shown that this methodology can locate the center of the ACL footprint to within 0.3 mm.2 (link) Based on a previous parametric study,38 (link) we expect this relatively small difference to have minimal effect on our results.
Following MRI, each subject’s knee was imaged while standing on a level platform from orthogonal directions using fluoroscopes (BV Pulsera, Philips, The Netherlands).33 (link) Each fluoroscopic image had a resolution of 1024 × 1024 pixels2. The protocol consisted of the following single-legged static knee positions (Fig. 2): full extension, 30° of flexion, and 30° of flexion with 10° of external rotation of the tibia and maximal internal rotation at the hip to simulate a valgus collapse position.36 (link),46 (link),52 (link),60 (link) For each pose, subjects were guided on how to position their knees by one investigator using a goniometer.
To create the in vivo joint model (Fig. 2), the orthogonal images were imported into the solid-modeling software in order to recreate the biplanar fluoroscopic system used during testing.1 (link),12 (link) Next, the 3D MR knee model was imported into the virtual fluoroscopic environment. Using custom-written edge detection software as a modeling aid to highlight the bone contours on the fluoroscopic images,1 (link),12 (link) the bones were moved individually in six degrees of freedom until their projections matched the bony outlines in the two orthogonal planes when viewed from the x-ray sources. Previous validation studies have shown that this approach can reproduce joint motion to within 0.1 mm and 0.3°.12 (link),15 (link)From these 3D models, knee joint kinematics and the length of the ACL and its functional bundles were measured. First, a coordinate system was drawn on each knee model.15 (link) The long axis of the tibia was determined by fitting a cylinder to the tibial shaft. Next, a mediolateral axis was drawn perpendicular to the long axis of the tibia and tangent to the posterior extremes of the tibial plateau. Finally, the anteroposterior axis was drawn orthogonal to the long and mediolateral axes of the tibia. On the femur, the long axis was determined by fitting a cylinder to the femoral shaft. The femoral coordinate system consisted of this proximodistal axis and an axis through the transepicondylar line. The kinematic measures examined by this study included flexion, internal/external rotation, and varus/valgus angle.27 (link) The transepicondylar line was used as a flexion/extension rotational axis. The internal/external rotation of the tibia was measured as the angle between the mediolateral axis of the tibia and the transepicondylar line projected on to the tibial plateau. Varus/valgus angle was measured as the change in angle between the long axis of tibia and transepicondylar line of the femur (Fig. 3). However, varus/valgus calculated this way is different from valgus measurements made by various videographic studies.11 (link),46 (link) Therefore, we used the coronal plane angle to approximate these measurements of valgus when viewed from a broad perspective outside the knee. Coronal plane angle was defined as the angle between the long axis of the femur and the long axis of the tibia projected on the tibial coronal plane (Fig. 3). ACL and bundle lengths were calculated as the distance between the area centroids of the femoral and tibial ACL attachment sites.1 (link),56 (link)Repeated measures ANOVA and Student–Newman–Keuls post hoc tests were used to detect statistically significant differences in flexion angle, as well as the lengths of the ACL and its functional bundles at each of the three knee positions. In addition, a two-way repeated measures ANOVA was used to detect differences between the coronal plane and varus/valgus angles in each knee position. Differences were considered statistically significant where p < 0.05.
Publication 2012
Bones ECHO protocol Epistropheus Femur Fluoroscopy Healthy Volunteers Joints Knee Knee Joint Leg Injuries Males MRI Scans neuro-oncological ventral antigen 2, human Nuclear Magnetic Resonance Operative Surgical Procedures Radiography Shock Student Tibia TRIO protein, human Voluntary Workers

Most recents protocols related to «Nuclear Magnetic Resonance»

Participants in subcohort I will undergo MRI using a Siemens 3-Tesla Magnetom Prisma scanner. High-resolution structural T1-, T2-, and diffusion-weighted MR images will be acquired as well as ultra-fast functional magnetic resonance encephalography (MREG) asses cardiovascular brain pulsations [67 (link)]. Resting-state and task-based blood oxygen level-dependent (BOLD) fMRI scans will be acquired to measure related brain function. To assess distributed and intrinsic brain functional connectivity patterns, we will acquire a resting-state fMRI scan (10 min), during which participants are asked to close their eyes, let their minds wander and not fall asleep. Participants will complete established tasks to assess processes involved in cognition and mood, e.g., the Cyberball task, a ball-tossing game during which the participant interacts with fictitious characters to simulate experiences of social inclusion, exclusion, rejection and ostracism [68 (link)]. Trained research personnel will instruct participants on how to perform all tasks.
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Publication 2023
Blood Oxygen Levels Brain Cardiovascular System Character Cognition Diffusion Equus asinus Eye fMRI Mood Nuclear Magnetic Resonance prisma Radionuclide Imaging Vaginal Diaphragm
MRI and 3DGA data including marker trajectories and ground reaction forces of twelve children diagnosed with CP (10.4 ± 3.8 years old, height: 133.6 ± 16.1 cm, mass: 30.1 ± 10.8 kg) and thirteen TD children (10 ± 2.2 years old, height: 144.5 ± 8.5 cm, mass: 36.8 ± 9.5 kg) were analyzed for this study. All participants walked without walking aids and with a self-selected speed. The data of all CP children and three TD children was captured during a previous study (Kainz et al., 2017 (link)) while the data of the remaining ten TD children was additionally collected for the purpose of this study. Ethics approval was obtained from the local ethics committees (University of Vienna, reference number 00578). Data collection of the retrospective analyzed data (CP children and three TD children) is described in detail in Kainz et al. (2017) (link).
MRI images of the additionally recorded data (ten TD children) were collected using a 3T magnetic resonance scanner (MAGNETOM Vida, Siemens, Berlin/Munich, Germany) with a T1 vibe sequence with a voxel size of 0.8 × 0.8 × 0.7 mm. 3DGA-data for these ten TD children were captured on the same day as the MRI images using a 12 camera motion capture system (Vicon Motion Systems, Oxford, UK). The used marker set during the motion capturing was based on the Plug-in-Gait marker set (Kadaba et al., 1990 (link); Davis et al., 1991 (link)) with additional clusters of three markers on each thigh and shank segment and an additional marker at the 5th metatarsal head of each foot. Simultaneously, ground reaction forces were acquired using five force plates (Kistler Instrumente, Winterthur, Switzerland). All children performed several gait trials with a self-selected walking speed. Marker trajectories were captured, labelled, and filtered (Butterworth 4th order, 6 Hz low-pass filter) in Nexus 2.12.1 (Vicon Motion System, Oxford, United Kingdom).
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Publication 2023
Acquired Immunodeficiency Syndrome Child Foot Head Metatarsal Bones Nexus Nuclear Magnetic Resonance Regional Ethics Committees Thigh
In this dataset, 282 patients are included (mean age 69.8 ± 9.4; 250 males, 66 females) from July 2020 to September 2022, who had internal carotid artery stenosis of > 50% diagnosed by computed tomograph (CT) angiography or magnetic resonance (MR) angiography. Of all the patients, 151 have experienced ischemic stroke before they were diagnosed of carotid stenosis, the remaining 131 were asymptomatic with no neurological abnormalities. The common clinical symptoms of ischemic stroke include weakness or numbness of the face, arm or leg, trouble speaking and understanding, and monocular blindness. The study was approved by the ethics committee of our institution and informed consent was obtained from all patients.
The exclusion criteria were as follows:
All the patients underwent brain MR examination using a 1.5 or 3.0 Tesla (T) MR scanner within 1 week of their carotid artery examination. The MRI protocol included T1WI, T2WI, FLAIR, and diffusion weighted imaging (DWI)/ADC. The imaging parameters were as follows: T1WI: repetition time (TR)/echo time (TE) = 2,000~2,400/7.6~18.0 ms; T2WI: TR/TE = 5,000~6,000/100~136 ms; FLAIR: TR/TE = 8,400~9,000/87.0~97.0 ms; and DWI/ADC: TR/TE = 4,000~5,000/77.0~85.0 ms, b = 0, and 1,000 s/mm2. Here, ms represents milliseconds and mm millimeters. Slice thickness was 5 mm and slice spacing was 1.5 mm for all the sequences.
Clinical features including sex, age, and vascular risk factors (hypertension, diabetes mellitus, hyperlipidemia, and coronary heart disease) were also recorded.
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Publication 2023
Asthenia Blindness, Monocular Blood Vessel Brain Carotid Stenosis Common Carotid Artery Computed Tomography Angiography Coronary Arteriosclerosis Diabetes Mellitus Diffusion ECHO protocol Face Females High Blood Pressures Hyperlipidemia Institutional Ethics Committees Internal Carotid Artery Stenosis Magnetic Resonance Angiography Males Nervous System Abnormality Nuclear Magnetic Resonance Patients Stroke, Ischemic
The medical records of 43 patients with SN with an upbeat component were reviewed, including disease course, onset form, duration, frequency of attacks, precipitating/relieving factors, symptoms, signs, history, eye movement examination, caloric test, video head impulse test (vHIT, Interacoustics, Middelfart, Denmark), vestibular-evoked myogenic potentials (VEMPs), head magnetic resonance imaging (MRI), three-dimensional fluid-attenuated inversion recovery magnetic resonance imaging (3D-FLAIR MRI) and serum immunology test results and diagnosis. 2D-VOG (Interacoustics, Middelfart, Denmark) was performed for the detection of SN, gaze-evoked nystagmus, saccades, smooth pursuit, optokinetic, head-shaking nystagmus, and positional test. All patients underwent VOG examination during the acute phase or attack phase. The VOG examination was performed on the day of the visit for patients with acute attacks if they could cooperate with the examination. For patients with severe dizziness/vertigo that cannot cooperate with the examination, a VOG test should be performed within seven days of the latest attack.
All experiments followed the tenets of the Declaration of Helsinki and were approved by the Institutional Review Board of Aerospace Center Hospital.
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Publication 2023
Caloric Tests Diagnosis Disease Progression Ethics Committees, Research Eye Movements Head Head Impulse Test Immunologic Tests Inversion, Chromosome Nuclear Magnetic Resonance Pathologic Nystagmus Patients Pursuit, Smooth Serum Tin Vertigo Vestibular Evoked Myogenic Potentials
Patients will be recruited by neurorehabilitation departments at 12 clinics, general hospitals, and university medical centers in northern France: Amiens Picardie University Medical Center (the coordinating center, in Amiens), Arras General Hospital (Arras), Beauvais General Hospital (Beauvais), the Centre Jacques Calvé clinic (Berck-sur-Mer), the Institut Medical de Breteuil clinic (Breteuil), Caen University Medical Center (Caen), Compiegne General Hospital (Compiegne), the Centre de Réeducation des Trois Vallées clinic (Corbie), Lille University Medical Center (Lille), the Centre L'Espoir clinic (Lille), the Centre Le Belloy clinic (Saint Omer-en-Chaussée), and Rouen University Medical Center (Rouen). The study flow chart for screening, enrolment (after the provision of written, informed consent), and randomization is shown in Fig. 1.

Study design and flow diagram. MRI, magnetic resonance imagery; fMRI, functional MRI; fMRS, functional magnetic resonance spectroscopy

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Publication 2023
fMRI Imagery, Guided Magnetic Resonance Spectroscopy Neurological Rehabilitation Nuclear Magnetic Resonance Patients Scheuermann's Disease

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More about "Nuclear Magnetic Resonance"

Nuclear Magnetic Resonance (NMR) is a powerful analytical technique that leverages the magnetic properties of atomic nuclei to study the structure and dynamics of molecules.
This non-invasive method has revolutionized scientific research, enabling researchers to gain unprecedented insights into the composition and behavior of various substances.
Utilizing advanced NMR instrumentation, such as the Discovery MR750, Achieva, Magnetom Avanto, MAGNETOM Prisma, MAGNETOM Skyra, Magnetom Trio, Ingenia, and Prisma systems, scientists can perform high-resolution analyses and obtain detailed information about the molecular structure and interactions within their samples.
The 12-channel head coil, a specialized NMR accessory, further enhances the sensitivity and resolution of these analyses, allowing for the study of even the most complex molecular systems.
NMR spectroscopy has a wide range of applications, from chemical and pharmaceutical research to materials science and biomedicine.
Researchers can employ this versatile technique to identify and characterize unknown compounds, monitor chemical reactions, and study the behavior of biological macromolecules, such as proteins and nucleic acids.
The PubCompare.ai platform leverages the power of artificial intelligence to help researchers locate the optimal NMR protocols from literature, preprints, and patents.
By facilitating seamless comparisons, this innovative tool enables scientists to quickly identify the most suitable NMR techniques and products to advance their investigations, ultimately unlocking new possibilities and accelerating their discoveries.