scholarly journals A new remote monitoring device to track magnetic resonance imaging machine cooling system failures

2022 ◽  
Vol 25 (1) ◽  
pp. 298
Author(s):  
Oussama Elallam ◽  
Mohamed Hamlich
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Customer Service ◽  
Cooling System ◽  
Vital Role ◽  
Machine Learning Algorithms ◽  
Resonance Imaging ◽  
System Failures ◽  
Message Service ◽  
The Status

The magnetic resonance imaging (MRI) machine cooling system has a vital role in the conduct of MRI examinations because a shutdown of the MRI cooling system in the absence of the manipulators can lead to grave consequences over time, like quench, which is the vaporization of helium liquid in the MRI tank, and it's the most expensive MRI failure. To limit the risks of this problem, several companies have tried to develop a monitoring system to track MRI cooling system failures but all solutions proposed are complicated and demand many connections with MRI. The proposed solution is simple, easy, and efficient requires only one joint with the helium compressor, and it has a humidity and temperature sensor to detect quench incident, it works using an advanced monitoring algorithm that evaluates the status of the cooling system and identifies breakdowns, in case of failure our system will send short message service (SMS) notifications and emails to the customer service team. The proposed solution shows the potential for starting the research to understand the relationship between the behavior of the MRI cooling system and the quench using machine learning algorithms.

scholarly journals Accuracy of Machine Learning Algorithms for the Diagnosis of Autism Spectrum Disorder: Systematic Review and Meta-Analysis of Brain Magnetic Resonance Imaging Studies

10.2196/14108 ◽  
2019 ◽  
Vol 6 (12) ◽  
pp. e14108 ◽  
Author(s):  
Sun Jae Moon ◽  
Jinseub Hwang ◽  
Rajesh Kana ◽  
John Torous ◽  
Jung Won Kim
Keyword(s):  
Magnetic Resonance Imaging ◽  
Machine Learning ◽  
Systematic Review ◽  
Magnetic Resonance ◽  
Meta Analysis ◽  
Learning Algorithms ◽  
Autism Spectrum ◽  
Machine Learning Algorithms ◽  
Resonance Imaging ◽  
Accuracy Measures

Background In the recent years, machine learning algorithms have been more widely and increasingly applied in biomedical fields. In particular, their application has been drawing more attention in the field of psychiatry, for instance, as diagnostic tests/tools for autism spectrum disorder (ASD). However, given their complexity and potential clinical implications, there is an ongoing need for further research on their accuracy. Objective This study aimed to perform a systematic review and meta-analysis to summarize the available evidence for the accuracy of machine learning algorithms in diagnosing ASD. Methods The following databases were searched on November 28, 2018: MEDLINE, EMBASE, CINAHL Complete (with Open Dissertations), PsycINFO, and Institute of Electrical and Electronics Engineers Xplore Digital Library. Studies that used a machine learning algorithm partially or fully for distinguishing individuals with ASD from control subjects and provided accuracy measures were included in our analysis. The bivariate random effects model was applied to the pooled data in a meta-analysis. A subgroup analysis was used to investigate and resolve the source of heterogeneity between studies. True-positive, false-positive, false-negative, and true-negative values from individual studies were used to calculate the pooled sensitivity and specificity values, draw Summary Receiver Operating Characteristics curves, and obtain the area under the curve (AUC) and partial AUC (pAUC). Results A total of 43 studies were included for the final analysis, of which a meta-analysis was performed on 40 studies (53 samples with 12,128 participants). A structural magnetic resonance imaging (sMRI) subgroup meta-analysis (12 samples with 1776 participants) showed a sensitivity of 0.83 (95% CI 0.76-0.89), a specificity of 0.84 (95% CI 0.74-0.91), and AUC/pAUC of 0.90/0.83. A functional magnetic resonance imaging/deep neural network subgroup meta-analysis (5 samples with 1345 participants) showed a sensitivity of 0.69 (95% CI 0.62-0.75), specificity of 0.66 (95% CI 0.61-0.70), and AUC/pAUC of 0.71/0.67. Conclusions The accuracy of machine learning algorithms for diagnosis of ASD was considered acceptable by few accuracy measures only in cases of sMRI use; however, given the many limitations indicated in our study, further well-designed studies are warranted to extend the potential use of machine learning algorithms to clinical settings. Trial Registration PROSPERO CRD42018117779; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=117779

Magnetic Resonance Imaging of Axial and Peripheral Disease in Psoriatic Arthritis: A Report From the 2020 GRAPPA Annual Meeting

2021 ◽  
pp. jrheum.201676
Author(s):  
Walter P. Maksymowych ◽  
Mikkel Østergaard
Keyword(s):  
Magnetic Resonance Imaging ◽  
Clinical Trials ◽  
Psoriatic Arthritis ◽  
Magnetic Resonance ◽  
Imaging Modality ◽  
Scoring Systems ◽  
Resonance Imaging ◽  
Structural Abnormalities ◽  
The Status ◽  
Magnetic Resonance Imaging Mri

Psoriatic arthritis (PsA) presents with diverse features of musculoskeletal inflammation that affect both axial and peripheral joints as well as entheses, tenosynovium, and bursae. Magnetic resonance imaging (MRI) is the imaging modality that is uniquely capable of identifying pathology in all these structures. The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) Magnetic Resonance Imaging Working Group has increasingly explored diverse MRI methodologies for the purposes of quantifying inflammatory and structural abnormalities in clinical trials and research. The 2020 GRAPPA virtual workshop presented an opportunity to review progress in the field, summarize the status of MRI scoring systems developed for PsA, and review representative patient cases.

Magnetic Resonance Imaging of Vascular Lesions in Children

1984 ◽  
Vol 25 (6) ◽  
pp. 449-456 ◽  
Author(s):  
H. G. Ringertz ◽  
R. C. Brasch ◽  
A. Brody ◽  
R. Ehman ◽  
C. A. Gooding
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Vascular Lesions ◽  
Vascular Tumors ◽  
Resonance Imaging ◽  
Vascular Abnormalities ◽  
Non Invasive ◽  
Internal Structures ◽  
The Status ◽  
Magnetic Resonance Imaging Mri

Ten children aged 1 week to 13 years with 12 vascular abnormalities were examined with magnetic resonance imaging (MRI) and other imaging modalities. MRI was the only single non-invasive modality that demonstrated all lesions and their internal structures. The vascular nature of 3 hemangiomas could not be established with MRI alone. No marked differences in MRI appearance was seen in 5 cases with vascular tumors compared with 5 cases with other vascular abnormalities. The status of the blood in the vascular lesions as flowing fast, slow, or not at all was successfully assessed in 9 of the 12 lesions.

scholarly journals The Utility of Magnetic Resonance Imaging in the Multidisciplinary Treatment of Patients with Rectal Cancer

2021 ◽  
Author(s):  
Hălmaciu Ioana ◽  
Suciu Bogdan Andrei ◽  
Russu Cristian ◽  
Butiurcă Vlad Olimpiu ◽  
Bacalbașa Nicolae ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Rectal Cancer ◽  
Magnetic Resonance ◽  
Neoadjuvant Therapy ◽  
Multidisciplinary Treatment ◽  
Preoperative Staging ◽  
Resonance Imaging ◽  
The Status ◽  
Magnetic Resonance Imaging Mri

Rectal cancer is one of the most common types of cancer in both men and women. In recent years, the importance of magnetic resonance imaging (MRI) has greatly increased in the multidisciplinary treatment of patients with rectal cancer. MRI has a particularly important role in the most accurate preoperative staging of these patients, both in terms of assessing the local invasion of the tumor and in terms of assessing the status of pelvic lymph nodes. Many patients with rectal cancer, especially those in the advanced stage of the disease, in the preoperative period undergo neoadjuvant radio chemotherapy. The evaluation of the clinical response of these patients to neoadjuvant therapy is of crucial importance both in terms of personalized treatment and in terms of their prognosis. In this regard, MRI has its clearly defined role at present in evaluating the efficacy of neoadjuvant therapy, as well as in postoperative follow-up.

Magnetic Resonance Imaging Utilization in Iran

2021 ◽  
Author(s):  
Sajad Ramandi ◽  
Mahya Abbasi ◽  
Ali Mohammad Mosadeghrad
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Private Insurance ◽  
High Rate ◽  
Insurance Companies ◽  
Insurance Company ◽  
Resonance Imaging ◽  
Statistical Population ◽  
Study Results ◽  
The Status

Abstract Background: The increased use of diagnostic and therapeutic equipment and services increases the costs of the health system and insurance organizations. Evaluating the status of utilizing these services can provide a clear picture of the demand rate, responding process and methods of providing the relevant services. This study aimed to examine the status of using magnetic resonance imaging (MRI) services among the insured people by one of the insurance companies.Methods: This research was a descriptive and cross-sectional study. The studied statistical population included all insured persons covered by a private insurance company that had used the MRI services provided in hospitals and other diagnostic and treatment centers in 2018-2019. The data were analyzed using STATA and GIS statistical software.Results: In one contractual year, 22,738,215 medical expenses records have been filed in the entire country, out of which, 119,761 records (0.5% of all cases) were related to MRI services. The shares of the basic (main) insurer and supplemental insurance related to this service of the total MRI costs were estimated as 52,946,159,376 Rials (1,259,860.6077 USD) and 231,303,021,838 Rials (5,503,884.87252 USD), respectively. In the study, 102,024 people have used MRI at least once a year. The average cost of using MRI services at each time in the country was 2,373,470 Rials (56.47702 USD). The average number of referrals in the whole country was 0.07 times. The highest frequency of referrals was in Lorestan and Qom provinces, while Kerman and Sistan and Baluchestan provinces had the lowest frequency of referrals. The overall rate of utilization of MRI services in the country was estimated to be 6%.Conclusion: In general, the study results suggested a high rate of using MRI services in Iran, which can be due to the 100% coverage of costs by insurance companies and the increased access to health diagnostic and treatment services in the country.

scholarly journals Morphology and distribution of liquid inclusions in young sea ice as imaged by magnetic resonance

2013 ◽  
Vol 7 (5) ◽  
pp. 4977-5006 ◽  
Author(s):  
R. J. Galley ◽  
B. G. T. Else ◽  
N.-X. Geilfus ◽  
A. A. Hare ◽  
D. Isleifson ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Sea Ice ◽  
Cooling System ◽  
Liquid Fraction ◽  
Three Dimensional ◽  
Ice Cores ◽  
Image Sequence ◽  
Resonance Imaging ◽  
Channel Network

Abstract. In order to determine the morphology and distribution of liquid inclusions in young sea ice, magnetic resonance imaging of an 18 cm sea ice core was done using a Siemens 3T TIM TRIO human scanner. The sample was stored at about −20 °C until the beginning of a constructive interference steady state gradient echo sequence which lasted four and a half min. Here we present the first three-dimensional reconstruction of a brine drainage channel network in young sea ice using magnetic resonance imaging. The magnetic resonance image sequence data presented here clearly illustrate that brine drainage channels are established relatively quickly during ice formation, and indicates the amount and location of vertical and horizontal fluid permeability in young sea ice. A simple analysis of the image sequence reveals that magnetic resonance imaging is useful in describing the vertical profile of liquid fraction that compares well to volumes calculated for similar sea ice temperatures. Future work in this vein may include three-dimensional magnetic resonance scans of sea ice cores at in situ temperatures using different magnetic resonance sequences in order to improve the observation of inclusions, though this will necessitate both access to a scanner and the construction of a cooling system compatible with a magnetic resonance imager.

scholarly journals Imaging procedures in adrenal pathology

2004 ◽  
Vol 48 (5) ◽  
pp. 592-611 ◽  
Author(s):  
Suzan M. Goldman ◽  
Rafael Darahem Coelho ◽  
Edison de O. Freire Filho ◽  
Nitamar Abdala ◽  
Denis Szejnfeld ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Computed Tomography ◽  
Magnetic Resonance ◽  
Vital Role ◽  
Biochemical Data ◽  
Imaging Features ◽  
Tissue Sampling ◽  
Imaging Procedures ◽  
Resonance Imaging

Imaging plays a vital role in the evaluation of adrenal pathology. The most widely used modalities are computed tomography and magnetic resonance imaging. Alone or in conjunction with appropriate clinical and biochemical data, imaging can provide specific diagnoses that preclude the need for tissue sampling. This article reviews imaging features of normal and diseased adrenals, from both benign and malignant causes.

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