Reliability of Hammersmith Examination in Prediction of Neurological Outcomes (REHAPENO) - Research Protocol (Preprint)

2018 ◽  
Author(s):  
Mohamed Fleifel ◽  
Rawya Abdelghani ◽  
Mohamed Ameen
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Image ◽  
Current Practice ◽  
Surgical Intervention ◽  
Brain Mri ◽  
Developmental Outcomes ◽  
Research Protocol ◽  
Neurological Outcomes ◽  
Mri Brain ◽  
Brain Ultrasound

BACKGROUND Background: Studying the neurological developmental outcomes and comparing correlations with MRI (Magnetic resonance image) versus the Hammersmith Infant Neurological Examination (HINE) OBJECTIVE Objective: To investigate the non-inferiority of MRI to HINE in infant developmental outcomes METHODS Settings: Hospital settings including pediatrics and neonatal care units Intervention: No medical or surgical intervention is planned, only correlation and extra analyses would take place to standardize the current practice Measurements: HINE, Brain MRI, Brain Ultrasound and developmental outcomes after 12 months RESULTS Results: The observations collected and correlations measured to figure out the reliability of both HINE and MRI in order to figure to what extent can we rely on HINE alone in expecting the developmental outcomes CONCLUSIONS The more reliability would expressed by HINE assessment the accurate expectation of developmental in preterm infants CLINICALTRIAL https://clinicaltrials.gov/ct2/show/NCT03580252

scholarly journals Magnetic Resonance Image Segmentation and its VHDL Implementation

2021 ◽  
Author(s):  
Wei Li Zhang
Keyword(s):  
Image Segmentation ◽  
Magnetic Resonance ◽  
Magnetic Resonance Image ◽  
Matlab Simulation ◽  
3D Mri ◽  
Brain Image ◽  
Mri Brain ◽  
Occurrence Matrix ◽  
Vhdl Implementation ◽  
Mri Image

From experiments, it is shown that the Co-occurrence matrix for one still MRI brain image does not provide enough information for segmentation. The 6D Co-occurrence image segmentation idea for 3D MRI image is modified and implemented in 2D MRI image segmentation. That idea is to take two or three images as input at the same time and then process them with 3D Co-occurrence matrix. With this kind of processing a lot of information was brought into the Co-occurrence matrix, which is enough to segment the images. To compare the result, some other segmentation ideas were tested in this project. From the results, it can be seen that the MRI image segmentation based on the Co-ocurrence texture analysis with two images or three images sampling is practical and the result satisfying. The segmentation is simulated in MATLAB. After the simulation, the segmentation is implemented in FPGA using VHDL. MODELSIM is used for FPGA functionality simulation. The result is close the MATLAB simulation. This makes it possible to implement the system with FPGA hardware.

Magnetic resonance imagery of a calcaneal lipoma

1995 ◽  
Vol 85 (9) ◽  
pp. 493-496 ◽  
Author(s):  
AA Richardson ◽  
BB Erdmann ◽  
S Beier-Hanratty ◽  
D Lautz ◽  
PM Jacobs ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Signal Intensity ◽  
Magnetic Resonance Image ◽  
Surgical Intervention ◽  
Malignant Degeneration ◽  
Foot And Ankle ◽  
Image Appearance ◽  
Central Calcification ◽  
Short Tau Inversion Recovery ◽  
Apparent Stability

An intraosseous lipoma of the calcaneus has been present and stable in this patient for at least 16 years; the only change has been an increase in the central calcification of the tumor. Because of the apparent stability of the lesion and the patient's complete lack of symptoms, no surgical intervention has been attempted. A baseline magnetic resonance image of the tumor was obtained to confirm the diagnosis and to aid in ruling out malignant degeneration of the tumor. The magnetic resonance image appearance of the calcaneal lipoma; increased signal intensity on T1-weighted images, with areas of decreased signal intensity centrally within the lesion; and corresponding increased signal intensity on the T2-weighted images and Short Tau Inversion Recovery suppression, are consistent with the descriptions from various texts on magnetic resonance imaging of the foot and ankle.

scholarly journals Magnetic Resonance Image Segmentation and its VHDL Implementation

2021 ◽  
Author(s):  
Wei Li Zhang
Keyword(s):  
Image Segmentation ◽  
Magnetic Resonance ◽  
Magnetic Resonance Image ◽  
Matlab Simulation ◽  
3D Mri ◽  
Brain Image ◽  
Mri Brain ◽  
Occurrence Matrix ◽  
Vhdl Implementation ◽  
Mri Image

From experiments, it is shown that the Co-occurrence matrix for one still MRI brain image does not provide enough information for segmentation. The 6D Co-occurrence image segmentation idea for 3D MRI image is modified and implemented in 2D MRI image segmentation. That idea is to take two or three images as input at the same time and then process them with 3D Co-occurrence matrix. With this kind of processing a lot of information was brought into the Co-occurrence matrix, which is enough to segment the images. To compare the result, some other segmentation ideas were tested in this project. From the results, it can be seen that the MRI image segmentation based on the Co-ocurrence texture analysis with two images or three images sampling is practical and the result satisfying. The segmentation is simulated in MATLAB. After the simulation, the segmentation is implemented in FPGA using VHDL. MODELSIM is used for FPGA functionality simulation. The result is close the MATLAB simulation. This makes it possible to implement the system with FPGA hardware.

scholarly journals The diffuse involvement of Anti-N-methyl-D-aspartate receptor encephalitis in brain: a case report

2019 ◽  
Author(s):  
Yun Jiang ◽  
Jianpeng Ma ◽  
Tao Gong ◽  
Hongjun Hao ◽  
Haibo Chen
Keyword(s):  
Basal Ganglia ◽  
Magnetic Resonance ◽  
Magnetic Resonance Image ◽  
Brain Mri ◽  
Clinical Manifestations ◽  
Ovarian Teratoma ◽  
Mass Effects ◽  
Aspartate Receptor ◽  
Nmdar Encephalitis ◽  
Brain Magnetic Resonance Image

Abstract Background Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is a severe and most common autoimmune encephalitis in patients under 40 years old. Anti-NMDAR encephalitis has various clinical and neuroimaging findings. Here we report a special case of an anti-NMDAR encephalitis who had diffuse lesions in bilateral hemispheres with mild mass effects in left basal ganglia area. Case presentations A 28-year-old female anti-NMDAR encephalitis patient mainly presented with headache and fever. Brain magnetic resonance image (MRI) showed slightly contrasted diffuse lesions, involving the left temporal and frontal lobes, left basal ganglia area and splenium of corpus callosum, as well as the right frontal lobe, with mild edema surrounded in the left basal ganglia area. Cerebrospinal fluid (CSF) revealed a moderate pleocytosis with normal protein and glucose levels. Anti-NMDAR antibodies were identified in CSF. Transvaginal ovarian ultrasound did not reveal an ovarian teratoma. The patient was treated with immunoglobulin and steroid, and had a good recovery. Conclusions Anti-NMDAR encephalitis has no special clinical manifestations and brain MRI is highly variable, which could be unremarkable or abnormal involving white and grey matters. The extensive lesions in frontal and temporal lobes, and basal ganglia area, with mild mass effects, have not been described previously. Recognition of various changes in brain MRI will enable the early detection of anti-NMDAR antibody and then effective treatments. Key words: Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis, clinic, brain, magnetic resonance image

Presurgical Evaluation in Magnetic Resonance Image-Negative Frontal Lobe Epilepsy

2014 ◽  
Vol 45 (S 01) ◽  
Author(s):  
I. Borggräfe ◽  
C. Vollmar ◽  
A. Lösch ◽  
B. Ertl-Wagner ◽  
L. Gerstl ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Frontal Lobe ◽  
Magnetic Resonance Image ◽  
Frontal Lobe Epilepsy ◽  
Presurgical Evaluation

Magnetic resonance image attributes of the bovine ovarian follicle antrum during development and regression

Reproduction ◽  
2000 ◽  
pp. 311-323 ◽  
Author(s):  
JL Hilton ◽  
GE Sarty ◽  
GP Adams ◽  
RA Pierson
Keyword(s):  
Magnetic Resonance ◽  
Relaxation Rate ◽  
Follicular Fluid ◽  
Magnetic Resonance Image ◽  
Follicular Development ◽  
Physiological Status ◽  
Proton Density ◽  
Dominant Follicle ◽  
Rate Heterogeneity ◽  
Pixel Value

The magnetic resonance images and maps of bovine ovaries acquired at defined phases of follicular development and regression were studied to determine whether magnetic resonance image attributes of the follicular antrum reflect the physiological status of dominant and subordinate ovarian follicles. Ovariectomies were performed at day 3 of wave one, day 6 of wave one, day 1 of wave two and at >/= day 17 after ovulation. The timings of ovariectomies were selected to acquire growing, early static, late static and regressing follicles of the first wave and preovulatory follicles of the ovulatory wave. Pre-selection and subordinate follicles were also available for analysis. Serum samples were taken on the day of ovariectomy and follicular fluid samples were taken after imaging. Numerical pixel value and pixel heterogeneity in a spot representing approximately 95% of the follicular antrum were quantified in T(1)- and T(2)-weighted images. T(1) and T(2) relaxation rates (T(1) and T(2)), proton density, apparent diffusion coefficients and their heterogeneities were determined from the computed magnetic resonance maps. The antra of early atretic dominant follicles showed higher T(2)-weighted mean pixel value (P < 0.008) and heterogeneity (P < 0. 01) and lower T(2) heterogeneity (P < 0.008) than growing follicles. Subordinate follicles in the presence of a preovulatory dominant follicle had higher T(1), T(1) heterogeneity, proton density, proton density heterogeneity, and lower mean pixel value in T(1)-weighted images than subordinate follicles of the anovulatory wave (P < 0.04). T(1) relaxation rate heterogeneity and proton density heterogeneity were positively correlated with follicular fluid oestradiol concentration (r = 0.4 and 0.3; P < 0.04). T(2) relaxation rate heterogeneity was positively correlated with follicular fluid progesterone concentration (r = 0.4; P < 0.008). Quantitative differences in magnetic resonance image attributes of the antrum observed among phases of follicular development and regression coincided with changes in the ability of the dominant follicle to produce steroid hormones and ovulate, and thus were indicative of physiological status and follicular health.

Fascicular torsions of the anterior and posterior interosseous nerve in 4 cases: neuroimaging methods to improve diagnosis

2020 ◽  
Vol 132 (6) ◽  
pp. 1925-1929 ◽  
Author(s):  
Jennifer Kollmer ◽  
Paul Preisser ◽  
Martin Bendszus ◽  
Henrich Kele
Keyword(s):  
Magnetic Resonance ◽  
Surgical Intervention ◽  
Case Series ◽  
Diagnostic Methods ◽  
Posterior Interosseous Nerve ◽  
Nerve Ultrasound ◽  
Magnetic Resonance Neurography ◽  
Surgical Exploration ◽  
Hyperintense Signal ◽  
Emergency Surgical Intervention

Diagnosis of spontaneous fascicular nerve torsions is difficult and often delayed until surgical exploration is performed. This case series raises awareness of peripheral nerve torsions and will facilitate an earlier diagnosis by using nerve ultrasound (NUS) and magnetic resonance neurography (MRN). Four patients with previously ambiguous upper-extremity mononeuropathies underwent NUS and 3T MRN. Neuroimaging detected proximal torsions of the anterior and posterior interosseous nerve fascicles within median or radial nerve trunks in all patients. In NUS, most cases presented with a thickening of affected nerve fascicles, followed by an abrupt caliber decrease, leading to the pathognomonic sausage-like configuration. MRN showed T2-weighted hyperintense signal alterations of fascicles at and distal to the torsion site, and directly visualized the distorted nerves. Three patients had favorable outcomes after being transferred to emergency surgical intervention, while 1 patient with existing chronic muscle atrophy was no longer eligible for surgery. NUS and MRN are complementary diagnostic methods, and both can detect nerve torsions on a fascicular level. Neuroimaging is indispensable for diagnosing fascicular nerve torsions, and should be applied in all unclear cases of mononeuropathy to determine the diagnosis and if necessary, to guide surgical therapies, as only timely interventions enable favorable outcomes.

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