scholarly journals Certain Applications of LabVIEW in the Field of Electronics and Communication

2021 ◽  
Author(s):  
Prema Ramasamy ◽  
Shri Tharanyaa Jothimani Palanivelu ◽  
Abin Sathesan
Keyword(s):  
Software Defined Radio ◽  
Health Condition ◽  
Vital Role ◽  
Heart Beat ◽  
Fault Analysis ◽  
Remote Access ◽  
Wearable Electronics ◽  
Speech Signal Processing ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri

The LabVIEW platform with graphical programming environment, will help to integrate the human machine interface controller with the software like MATLAB, Python etc. This platform plays the vital role in many pioneering areas like speech signal processing, bio medical signals like Electrocardiogram (ECG) and Electroencephalogram (EEG) processing, fault analysis in analog electronic circuits, Cognitive Radio(CR), Software Defined Radio (SDR), flexible and wearable electronics. Nowadays most engineering colleges redesign their laboratory curricula for the students to enhance the potential inclusion of remote based laboratory to facilitate and encourage the students to access the laboratory anywhere and anytime. This would help every young learner to bolster their innovation, if the laboratory environment is within the reach of their hand. LabVIEW is widely recognized for its flexibility and adaptability. Due to the versatile nature of LabVIEW in the Input- Output systems, it has find its broad applications in integrated systems. It can provide a smart assistance to deaf and dumb people for interpreting the sign language by gesture recognition using flex sensors, monitor the health condition of elderly people by predicting the abnormalities in the heart beat through remote access, and identify the stage of breast cancer from the Computed tomography (CT) and Magnetic resonance imaging (MRI) scans using image processing techniques. In this chapter, the previous work of authors who have extensively incorporated LabVIEW in the field of electronics and communication are discussed in detail.

scholarly journals Regional medical practice variation in high-cost healthcare services

2021 ◽  
Author(s):  
Michael Berger ◽  
Thomas Czypionka
Keyword(s):  
Medical Practice ◽  
Regional Variation ◽  
Multivariate Regression ◽  
Healthcare Services ◽  
Practice Variation ◽  
District Level ◽  
Healthcare Data ◽  
Regional Medical ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri

AbstractMagnetic resonance imaging (MRI) is a popular yet cost-intensive diagnostic measure whose strengths compared to other medical imaging technologies have led to increased application. But the benefits of aggressive testing are doubtful. The comparatively high MRI usage in Austria in combination with substantial regional variation has hence become a concern for its policy makers. We use a set of routine healthcare data on outpatient MRI service consumption of Austrian patients between Q3-2015 and Q2-2016 on the district level to investigate the extent of medical practice variation in a two-step statistical analysis combining multivariate regression models and Blinder–Oaxaca decomposition. District-level MRI exam rates per 1.000 inhabitants range from 52.38 to 128.69. Controlling for a set of regional characteristics in a multivariate regression model, we identify payer autonomy in regulating access to MRI scans as the biggest contributor to regional variation. Nevertheless, the statistical decomposition highlights that more than 70% of the regional variation remains unexplained by differences between the observable district characteristics. In the absence of epidemiological explanations, the substantial regional medical practice variation calls the efficiency of resource deployment into question.

scholarly journals A detailed analysis of anatomical plausibility of crossed and uncrossed streamline rendition of the dentato-rubro-thalamic tract (DRT(T)) in a commercial stereotactic planning system

2021 ◽  
Author(s):  
Volker A. Coenen ◽  
Bastian E. Sajonz ◽  
Peter C. Reinacher ◽  
Christoph P. Kaller ◽  
Horst Urbach ◽  
...  
Keyword(s):  
Surgical Planning ◽  
Ground Truth ◽  
Planning System ◽  
Single Subject ◽  
Fiber Structure ◽  
Native Space ◽  
Volume Of Interest ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri ◽  
The Individual

Abstract Background An increasing number of neurosurgeons use display of the dentato-rubro-thalamic tract (DRT) based on diffusion weighted imaging (dMRI) as basis for their routine planning of stimulation or lesioning approaches in stereotactic tremor surgery. An evaluation of the anatomical validity of the display of the DRT with respect to modern stereotactic planning systems and across different tracking environments has not been performed. Methods Distinct dMRI and anatomical magnetic resonance imaging (MRI) data of high and low quality from 9 subjects were used. Six subjects had repeated MRI scans and therefore entered the analysis twice. Standardized DICOM structure templates for volume of interest definition were applied in native space for all investigations. For tracking BrainLab Elements (BrainLab, Munich, Germany), two tensor deterministic tracking (FT2), MRtrix IFOD2 (https://www.mrtrix.org), and a global tracking (GT) approach were used to compare the display of the uncrossed (DRTu) and crossed (DRTx) fiber structure after transformation into MNI space. The resulting streamlines were investigated for congruence, reproducibility, anatomical validity, and penetration of anatomical way point structures. Results In general, the DRTu can be depicted with good quality (as judged by waypoints). FT2 (surgical) and GT (neuroscientific) show high congruence. While GT shows partly reproducible results for DRTx, the crossed pathway cannot be reliably reconstructed with the other (iFOD2 and FT2) algorithms. Conclusion Since a direct anatomical comparison is difficult in the individual subjects, we chose a comparison with two research tracking environments as the best possible “ground truth.” FT2 is useful especially because of its manual editing possibilities of cutting erroneous fibers on the single subject level. An uncertainty of 2 mm as mean displacement of DRTu is expectable and should be respected when using this approach for surgical planning. Tractographic renditions of the DRTx on the single subject level seem to be still illusive.

scholarly journals Brain atrophy and clinical characteristics predicting SDMT performance in multiple sclerosis: A 10-year follow-up study

2021 ◽  
Vol 7 (1) ◽  
pp. 205521732199239
Author(s):  
Cecilie Jacobsen ◽  
Robert Zivadinov ◽  
Kjell-Morten Myhr ◽  
Turi O Dalaker ◽  
Ingvild Dalen ◽  
...  
Keyword(s):  
Clinical Data ◽  
Grey Matter Volume ◽  
Lesion Volume ◽  
Information Processing Speed ◽  
Disability Status ◽  
Mri Scans ◽  
Patients At Risk ◽  
Magnetic Resonance Imaging Mri ◽  
Specific Volumes

Objectives To identify Magnetic Resonance Imaging (MRI), clinical and demographic biomarkers predictive of worsening information processing speed (IPS) as measured by Symbol Digit Modalities Test (SDMT). Methods Demographic, clinical data and 1.5 T MRI scans were collected in 76 patients at time of inclusion, and after 5 and 10 years. Global and tissue-specific volumes were calculated at each time point. For the primary outcome of analysis, SDMT was used. Results Worsening SDMT at 5-year follow-up was predicted by baseline age, Expanded Disability Status Scale (EDSS), SDMT, whole brain volume (WBV) and T2 lesion volume (LV), explaining 30.2% of the variance of SDMT. At 10-year follow-up, age, EDSS, grey matter volume (GMV) and T1 LV explained 39.4% of the variance of SDMT change. Conclusion This longitudinal study shows that baseline MRI-markers, demographic and clinical data can help predict worsening IPS. Identification of patients at risk of IPS decline is of importance as follow-up, treatment and rehabilitation can be optimized.

scholarly journals Cross-sectional analysis of follow-up chest MRI and chest CT scans in patients previously affected by COVID-19

2021 ◽  
Author(s):  
Martina Pecoraro ◽  
Stefano Cipollari ◽  
Livia Marchitelli ◽  
Emanuele Messina ◽  
Maurizio Del Monte ◽  
...  
Keyword(s):  
Chest Ct ◽  
Ct Scans ◽  
Imaging Biomarker ◽  
Cross Sectional ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri ◽  
Sectional Analysis ◽  
Ct And Mri ◽  
Interlobular Septal Thickening

Abstract Purpose The aim of the study was to prospectively evaluate the agreement between chest magnetic resonance imaging (MRI) and computed tomography (CT) and to assess the diagnostic performance of chest MRI relative to that of CT during the follow-up of patients recovered from coronavirus disease 2019. Materials and methods Fifty-two patients underwent both follow-up chest CT and MRI scans, evaluated for ground-glass opacities (GGOs), consolidation, interlobular septal thickening, fibrosis, pleural indentation, vessel enlargement, bronchiolar ectasia, and changes compared to prior CT scans. DWI/ADC was evaluated for signal abnormalities suspicious for inflammation. Agreement between CT and MRI was assessed with Cohen’s k and weighted k. Measures of diagnostic accuracy of MRI were calculated. Results The agreement between CT and MRI was almost perfect for consolidation (k = 1.00) and change from prior CT (k = 0.857); substantial for predominant pattern (k = 0.764) and interlobular septal thickening (k = 0.734); and poor for GGOs (k = 0.339), fibrosis (k = 0.224), pleural indentation (k = 0.231), and vessel enlargement (k = 0.339). Meanwhile, the sensitivity of MRI was high for GGOs (1.00), interlobular septal thickening (1.00), and consolidation (1.00) but poor for fibrotic changes (0.18), pleural indentation (0.23), and vessel enlargement (0.50) and the specificity was overall high. DWI was positive in 46.0% of cases. Conclusions The agreement between MRI and CT was overall good. MRI was very sensitive for GGOs, consolidation and interlobular septal thickening and overall specific for most findings. DWI could be a reputable imaging biomarker of inflammatory activity.

scholarly journals Magnetic resonance imaging (MRI) scans in patients with dorsal root ganglion stimulation

Pain Practice ◽  
2021 ◽  
Author(s):  
Marco Reining ◽  
Dirk Winkler ◽  
Joachim Boettcher ◽  
Juergen Meixensberger ◽  
Michael Kretzschmar
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Dorsal Root Ganglion ◽  
Dorsal Root ◽  
Resonance Imaging ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri

scholarly journals Electrical stimulation to clinically identify position of the lingual nerve: results of 50 subjects with reliability and correlation with MRI

2021 ◽  
Author(s):  
Sanaa Aljamani ◽  
Callum Youngson ◽  
Fadi Jarad ◽  
Francis O’Neill
Keyword(s):  
Third Molar ◽  
Lingual Nerve ◽  
Observer Agreement ◽  
Electrical Nerve Stimulation ◽  
The Third ◽  
Mri Scans ◽  
Tingling Sensation ◽  
Magnetic Resonance Imaging Mri ◽  
Clinical Determination

Abstract Purpose Recently we described mapping of the lingual nerve clinically in patients using electrical nerve stimulation. This paper reports results of a larger study with inter- and intra-observer reliability and comparison with positional measurements from magnetic resonance imaging (MRI). Methods In 50 healthy participants, measurements were taken when subjects felt a tingling sensation in the tongue induced by a stimulation probe over the lingual nerve. Three positions were measured in relation to the third molar. Measurement reliability was tested for both inter-observer and intra-observer agreement and positional data of the lingual nerve measured clinically was also compared with nerve position as measured from MRI scans. Results Out of 50 participants, 96 nerves (49 = left/47 = right) were included in the study. The lingual nerve was identified in 90% (87) of this sample. The mean of height of the nerve in points A, B and C were 9.64 mm, 10.77 mm and 12.34 respectively. Inter-and intra-observer agreement was considered to be good to excellent (ICC = 0.8–0.96). Agreement between nerve mapping measured values and MRI measured values was good (ICC < 0.6). Conclusion This technique may prove useful for the clinical determination of lingual nerve position prior to procedures in the third molar region.

scholarly journals Multifocal glioblastoma multiform with “encephalitis-like presentation” : a case report

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Issam Sa’adeh ◽  
Mohamed Jamal Saadh
Keyword(s):  
Vasogenic Edema ◽  
Neurological Deficits ◽  
Herpes Simplex Virus 1 ◽  
Glioblastoma Multiform ◽  
Atypical Clinical Presentation ◽  
Mri Scans ◽  
The Central Nervous System ◽  
Magnetic Resonance Imaging Mri ◽  
Simplex Virus ◽  
Multifocal Glioblastoma

Abstract Background Glioblastoma multiform is the most common and aggressive type of primary malignant tumor that affects the central nervous system in adults. It clinically presents with seizures, headache, and/or progressive focal neurological deficits. Radiologically, glioblastoma multiform appears as a single distinguishable, large heterogeneous lesion affecting the cerebrum with characteristic central necrosis, marginal enhancement, and surrounding vasogenic edema. This article describes a patient that exhibited an atypical clinical presentation of multifocal glioblastoma multiform with misleading early radiological features that simulated herpetic encephalitis. Results A 66-year-old female that presented with left-sided hemiparesis and left partial motor seizures underwent multi-slice computed tomography (MSCT) and magnetic resonance imaging (MRI) scans. A cerebrospinal fluid (CSF) polymerase chain reaction (PCR) test was also performed to screen for herpes simplex virus 1 (HSV-1). Conclusions The early stages of glioblastoma may manifest as symptoms typical to encephalitis, which can delay diagnosis and treatment. Therefore, early diagnosis and identification of atypical glioblastoma multiform presentations, as reported in this article, are essential.

Progress of leukoaraiosis is inhibited by correction of platelet hyper-aggregability

2005 ◽  
Vol 17 (4) ◽  
pp. 689-698 ◽  
Author(s):  
Shigekiyo Fujita ◽  
Tetsuro Kawaguchi ◽  
Toshiyuki Uehara ◽  
Kazuhito Fukushima
Keyword(s):  
Group Versus ◽  
Adenosine Diphosphate ◽  
White Matter Hyperintensity ◽  
Number Of Patients ◽  
Mri Scans ◽  
The Mean ◽  
The Difference ◽  
Magnetic Resonance Imaging Mri ◽  
Observation Period

Background: Platelet hyper-aggregability is an important risk factor for leukoaraiosis. In this study we investigated whether aggravation of leukoaraiosis can be controlled by means of long-term correction of platelet hyper-aggregability.Methods:Twenty-one patients with leukoaraiosis and uncorrected platelet hyper-aggregability were compared with 21 controls matched for age, grade of leukoaraiosis and observation period whose platelet hyper-aggregability was corrected. Platelet aggregability was estimated by an optical analytical method with a nine-stage display using two different concentrations each of adenosine diphosphate (ADP) and collagen (the double ADP method).Results:The mean observation period between two magnetic resonance imaging (MRI) scans for both groups was 4.1 years. In the non-corrected group, moderate to severe aggravation of leukoaraiosis was observed in a large number of patients. In the corrected group, only a small number of patients showed generally mild aggravation of leukoaraiosis. The number of patients showing aggravation of periventricular hyperintensity (PVH) was 7 in 21 in the non-corrected group versus 1 in 21 (p=0.022) in the corrected group, and for aggravation of deep white-matter hyperintensity, these values were 9 in 21 versus 4 in 21, respectively. Thus, the difference was more significant if the degree of aggravation was taken into account.Conclusion:The progress of leukoaraiosis is greatly inhibited by long-term correction of platelet hyper-aggregability.

Robot-Assisted Stereotactic Shunting as a Novel Treatment for Pontine Glioependymal Cysts

2021 ◽  
Author(s):  
Simon Schieferdecker ◽  
Stefan Hunsche ◽  
Faycal El Majdoub ◽  
Mohammad Maarouf
Keyword(s):  
Abducens Nerve ◽  
Ependymal Cells ◽  
Robot Assisted ◽  
Quick Recovery ◽  
Glioependymal Cyst ◽  
Novel Treatment ◽  
First Case ◽  
Mri Scans ◽  
The Central Nervous System ◽  
Magnetic Resonance Imaging Mri

AbstractIn this case report, the authors describe the first case of a glioependymal cyst of the brainstem managed by robot-assisted, stereotactic, cysto-ventricular shunting. Glioependymal cysts are rare congenital cystic lesions that are thought to form by displacement of ependymal cells during the embryonal period. Glioependymal cysts have been reported in a variety of different locations within the central nervous system. However, glioependymal cysts of the brainstem have only been described once before. Here, we report the case of a 53-year-old man who was referred to our department due to hemiparesis, hemihypesthesia, and hemidysesthesia, as well as facial and abducens nerve palsy. A large pontine glioependymal cyst was confirmed via magnetic resonance imaging (MRI) scans. The cyst was subsequently decompressed by connecting the cyst with the fourth ventricle via robot-assisted stereotactic shunt placement. In the postoperative course, the patient made a quick recovery and did not report any permanent neurologic deficits.

Spectrum of Imaging Findings in Rhino-Orbito-Cerebral Mucormycosis (ROCM) in Post COVID Patients - A Pictorial Review with Clinico-Radiological Correlation

2021 ◽  
Vol 8 (41) ◽  
pp. 3584-3590
Author(s):  
Devarajan Ellezhutil ◽  
Sajeeth Kumar Govindan Keeriyatt ◽  
Sunil Kumar Kunhiparambath ◽  
John Jimmy Nalappat
Keyword(s):  
Early Diagnosis ◽  
Virus Disease ◽  
Vital Role ◽  
Fungal Sinusitis ◽  
Mri Findings ◽  
Pictorial Review ◽  
Radiological Patterns ◽  
The Common ◽  
Magnetic Resonance Imaging Mri ◽  
Very High

BACKGROUND Rhino-orbito-cerebral mucormycosis (ROCM) is a devastating fungal infection with very high rates of mortality. Many patients post corona virus disease (COVID) infection are increasingly being diagnosed with mucormycosis (black fungus). Imaging being central to the early diagnosis of the infection, the study aims to characterize the major radiological patterns of involvement of mucormycosis. Computed tomography (CT) & magnetic resonance imaging (MRI) findings of 10 patients who were subsequently conformed to have mucormycosis were analyzed and 7 major patterns of involvement were detected. Imaging plays a vital role in the early diagnosis of ROCM. Knowledge about the common patterns of spread helps in picking the subtle signs of infection. KEYWORDS Mucormycosis, Post COVID, Fungal Sinusitis, ROCM

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