A HANDHELD IOT DEVICE FOR PRECISION MAGNETIC STRENGTH ASSESSMENT AND IMAGE QUALITY OPTIMIZATION IN MEDICAL IMAGING

Abstract

This invention presents a handheld IoT-enabled device designed for precision assessment and optimization of magnetic strength in medical imaging, significantly enhancing image quality. The device integrates an ESP32 board, A3144 Hall Effect Sensor, MLX90393 Triaxis Magnetometer, GSM modem, TFT Display, and rechargeable battery. Utilizing advanced sensors and algorithms, it captures detailed magnetic field data, calculates optimal image quality parameters, and transmits data to a central server for remote monitoring. This portable solution enables real-time adjustments and enhances maintenance efficiency, ultimately contributing to accurate diagnostics in medical imaging.

Specification

Description:FIELD OF THE INVENTION
This invention relates to A Handheld IoT Device for Precision Magnetic Strength Assessment and Image Quality Optimization in Medical Imaging.
BACKGROUND OF THE INVENTION
This innovative handheld gadget is essential to the field of medical imaging because it can precisely measure and adjust magnetic strength to enhance overall image quality. Using a microcontroller and sophisticated sensors, the gadget continuously records information about the magnetic field around it. This allows for quick analysis via an easy-to-use interface. Maintenance staff can watch remotely and make quick decisions thanks to the wireless communication of the ideal image quality parameters to a central server.
The precision and adjustment of magnetic strength in imaging equipment is a persistent problem in the medical imaging industry. Variations or errors in magnetic fields can directly affect image quality, which can effect patient care and the accuracy of diagnosis. The current solutions often do not have real-time monitoring features or mobility, which makes it difficult for healthcare institutions to quickly resolve issues or maximize the efficiency of their equipment.
US10627464B2 - According to some aspects, a portable magnetic resonance imaging system is provided. The portable magnetic resonance imaging system comprises a B0 magnet configured to produce a B0 magnetic field for an imaging region of the magnetic resonance imaging system, a noise reduction system configured to detect and suppress at least some electromagnetic noise in an operating environment of the portable magnetic resonance imaging system, and electromagnetic shielding provided to attenuate at least some of the electromagnetic noise in the operating environment of the portable magnetic resonance imaging system, the electromagnetic shielding arranged to shield a fraction of the imaging region of the portable magnetic resonance imaging system. Hand Held Device equipped with Cloud Technology for magnetic strength monitoring here is the novelty of the system.
US10386428B2 - A system and method are provided to detect target analytes based on magnetic resonance measurements. Magnetic structures produce distinct magnetic field regions having a size comparable to the analyte. When the analyte is bound in those regions, magnetic resonance signals from the sample are changed, leading to detection of the analyte. Hand Held Device equipped with Cloud Technology for magnetic strength monitoring here is the novelty of the system.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
The QOD_MSMMote is a portable, Internet of Things (IoT)-enabled device that accurately assesses and optimizes magnetic strength in real-time, guaranteeing improved image quality and enabling seamless remote monitoring for effective maintenance. It is equipped with an ESP32 board, GSM modem, A3144 Hall Effect Sensor, MLX90393 Triaxis Magnetometer, TFT display, buzzer, and rechargeable battery.
The QOD_MSMMote's central processing unit, the ESP32 board, is utilized to effectively manage and analyze data from sophisticated sensors in order to determine the ideal image quality parameters and enable real-time wireless communication for improved medical imaging performance.
The integrated GSM modem in the QOD_MSMMote allows for real-time wireless communication, guaranteeing the timely transfer of computed image quality metrics to a central server for remote monitoring and providing uninterrupted connectivity-both essential for the effective upkeep and enhancement of medical imaging apparatus.
The QOD_MSMMote's embedded A3144 Hall Effect Sensor is utilized to identify magnetic fields and provide a strength graph. This sensor provides crucial information for accurately assessing and optimizing magnetic strength, which improves image quality in medical imaging devices.
The QOD_MSMMote is also equipped with the MLX90393 Triaxis Magnetometer, which contributes to the device's thorough analysis of magnetic conditions by providing three-dimensional information about the strength and orientation of magnetic fields. This allows for the accurate assessment and optimization of magnetic strength for improved image quality in medical imaging equipment.
The QOD_MSMMote's interfaced TFT Display is used to provide a user-friendly interface, instantaneous feedback, and live trending data display. This allows for the quick assessment of magnetic strength and image quality parameters, which is crucial for maintaining and improving the functionality of medical imaging equipment.
The QOD_MSMMote's externally plugged rechargeable battery powers the device, guaranteeing portability and continuous operation. This makes it easier to optimize image quality and analyze magnetic strength while using medical imaging equipment while on the road.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The QOD_MSMMote assesses and optimizes magnetic strength especially for medical imaging equipment by integrating cutting-edge sensors, microcontrollers, and communication modules. The MLX90393 Triaxis Magnetometer and the A3144 Hall Effect Sensor work together to precisely record magnetic field data. A magnetic field can be detected using the Hall Effect Sensor, and its strength and direction can be determined in three dimensions using the Triaxis Magnetometer. When these sensors are combined, it is possible to analyze the magnetic conditions around medical imaging equipment in great detail. The acquired magnetic field data is processed by the ESP32 microcontroller, which serves as the central processing unit. Based on the magnetic strength data, the microcontroller uses an advanced algorithm to calculate the ideal image quality settings. This data is essential for guaranteeing optimal performance of medical imaging equipment, which improves image quality for diagnostic operations.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: SYSTEM ARCHITECTURE
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a"," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", "third", and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The QOD_MSMMote assesses and optimizes magnetic strength especially for medical imaging equipment by integrating cutting-edge sensors, microcontrollers, and communication modules. The MLX90393 Triaxis Magnetometer and the A3144 Hall Effect Sensor work together to precisely record magnetic field data. A magnetic field can be detected using the Hall Effect Sensor, and its strength and direction can be determined in three dimensions using the Triaxis Magnetometer. When these sensors are combined, it is possible to analyze the magnetic conditions around medical imaging equipment in great detail. The acquired magnetic field data is processed by the ESP32 microcontroller, which serves as the central processing unit. Based on the magnetic strength data, the microcontroller uses an advanced algorithm to calculate the ideal image quality settings. This data is essential for guaranteeing optimal performance of medical imaging equipment, which improves image quality for diagnostic operations.
The GSM modem is used to wirelessly send the determined parameters in real time to a central server. As the user interface, the QOD_MSMMote's TFT Display offers instantaneous response. Quick access to relevant data regarding picture quality parameters and magnetic strength empowers users-including maintenance staff-to make quick decisions and carry out necessary maintenance or modifications right away. Moreover, the real-time trending data displayed on the TFT Display provides information on the continuous functionality of the medical imaging apparatus. Furthermore, the gadget's internet connection is designed to enable remote monitoring. Data can be transmitted to a personalized online dashboard that is only accessible by authorized staff thanks to the GSM modem. With real-time trend observation and prompt issue resolution, this remote monitoring capability is especially helpful for maintenance teams.
BEST METHOD OF WORKING
A handheld IoT-enabled device for precision magnetic strength assessment and image quality optimization in medical imaging, comprising an ESP32 board that serves as the central processing unit for data management and real-time communication.
A handheld device with an A3144 Hall Effect Sensor that detects magnetic fields, providing data crucial for the accurate evaluation and optimization of magnetic strength, thereby enhancing image quality in medical imaging equipment.
A handheld device further comprising an MLX90393 Triaxis Magnetometer to provide three-dimensional information on magnetic field strength and orientation, enabling thorough analysis and adjustment of magnetic strength for improved image quality.
A handheld device incorporating a GSM modem to enable real-time wireless communication, facilitating the timely transmission of computed image quality metrics to a central server for remote monitoring and enhanced maintenance.
A handheld device with a TFT Display serving as a user interface, providing live trending data and instantaneous feedback for quick assessment of magnetic strength and image quality parameters.
A handheld device including a rechargeable battery as the power source, ensuring portability and uninterrupted operation during magnetic strength analysis and image quality optimization in medical imaging.
A handheld device with a pre-configured algorithm that calculates the optimal image quality parameters based on real-time magnetic field data, enhancing diagnostic accuracy in medical imaging processes.
ADVANTAGES OF THE INVENTION
1. A novel method to medical imaging is presented by the QOD_MSMMote, which provides a mobile, Internet of Things-enabled device that precisely measures and adjusts magnetic strength in real-time. This guarantees better image quality and permits smooth remote monitoring, which boosts maintenance procedures' effectiveness.
2. The GSM modem on the QOD_MSMMote enables immediate wireless connectivity, guaranteeing the prompt transfer of computed image quality metrics to a central server for remote monitoring. Facilitating smooth communication is a crucial aspect of maintaining and optimizing medical imaging equipment.
3. The QOD_MSMMote's A3144 Hall Effect Sensor is essential for identifying magnetic fields and providing information that is needed for accurate evaluation and optimization of magnetic strength. This makes a major contribution to improving the quality of images in medical imaging devices.
4. By integrating the MLX90393 Triaxis Magnetometer, the QOD_MSMMote provides three-dimensional data regarding the direction and strength of magnetic fields. This improves the apparatus's capacity to thoroughly examine magnetic conditions, resulting in accurate determination and adjustment of magnetic strength for better image quality in medical imaging apparatus.
5. The QOD_MSMMote's intuitive TFT Display serves as an interface by showing real-time trending data and offering prompt feedback. This function makes it possible to quickly evaluate factors related to image quality and magnetic strength, which is crucial for the upkeep and efficient operation of medical imaging equipment.
, Claims:1. A handheld IoT-enabled device for precision magnetic strength assessment and image quality optimization in medical imaging, comprising QOD_MSMMote is a portable, Internet of Things (IoT)-enabled device that accurately assesses and optimizes magnetic strength in real-time, guaranteeing improved image quality and enabling seamless remote monitoring for effective maintenance; and it is equipped with an ESP32 board, GSM modem, A3144 Hall Effect Sensor, MLX90393 Triaxis Magnetometer, TFT display, buzzer, and rechargeable battery.
2. The handheld device as claimed in Claim 1, wherein an A3144 Hall Effect Sensor detects magnetic fields, providing data crucial for the accurate evaluation and optimization of magnetic strength, thereby enhancing image quality in medical imaging equipment.
3. The handheld device as claimed in Claim 1, further comprising an MLX90393 Triaxis Magnetometer to provide three-dimensional information on magnetic field strength and orientation, enabling thorough analysis and adjustment of magnetic strength for improved image quality.
4. The handheld device as claimed in Claim 1, incorporating a GSM modem to enable real-time wireless communication, facilitating the timely transmission of computed image quality metrics to a central server for remote monitoring and enhanced maintenance.
5. The handheld device as claimed in Claim 1, wherein a TFT Display serves as a user interface, providing live trending data and instantaneous feedback for quick assessment of magnetic strength and image quality parameters.
6. The handheld device as claimed in Claim 1, including a rechargeable battery as the power source, ensuring portability and uninterrupted operation during magnetic strength analysis and image quality optimization in medical imaging.
7. The handheld device as claimed in Claim 1, with a pre-configured algorithm that calculates the optimal image quality parameters based on real-time magnetic field data, enhancing diagnostic accuracy in medical imaging processes.

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