A PORTABLE BONE CANCER DETECTION SYSTEM WITH ADVANCED IMAGING TECHNOLOGY

Abstract

The present invention relates to a portable bone cancer detection system with advanced imaging technology. The system comprises of a low-dose X-ray technology to decrease radiation exposure while maintaining image quality, a portable ultrasound device to detect bone abnormalities, a Near-infrared spectroscopy (NIRS) to detect bone cancer, a high-performance microprocessor and advanced machine learning algorithms within the device for real-time analysis of imaging, a High-resolution CMOS sensors and sophisticated imaging components ensure high image quality with minimal radiation and power consumption, a user-friendly touch screen interface, a rechargeable lithium-ion battery enables the system to be used in remote or underserved areas independent of the electricity grid and a storage system. Additionally, it has wireless connectivity for transferring reports to doctors for further analysis. The portable device ensures quick and accurate diagnosis to facilitate detection as early as possible so that prompt treatment of bone cancer can be given, which plays a key role in saving lives. This invention addresses the need for accessible, cost-effective diagnostic tools, particularly in resource-limited settings. It has the potential to significantly improve early detection rates of bone cancer, leading to better patient outcomes and reduced healthcare costs.

Specification

Description:Field of the Invention
The present invention relates to the field of medical imaging, more particular to a portable bone cancer detection system with advanced imaging technology.
Background of the Invention
Bone cancer, particularly in its early stages, is challenging to diagnose due to the subtlety of its symptoms and the limitations of current diagnostic tools. Traditional methods such as X-rays, CT scans, and MRIs are often expensive, require specialized equipment and personnel, and are not always accessible, especially in remote or underserved areas. These limitations result in delayed diagnoses, reducing the effectiveness of treatments and worsening patient outcomes.
1. Traditional Imaging Methods
• X-rays: They are a primary screening tool, but they often cannot find early-stage cancer in bone as the resolution is not high enough, and they do not give a good contrast between healthy and cancerous tissues.
• CT scans: CT scans provide more detailed images than X-rays but involve higher radiation exposure and are expensive and time-consuming.
• MRIs: Offer high-resolution images and better soft tissue contrast but are costly, not widely available, and require long imaging times.
2. Recent Advances in Imaging Technology
• Low-Dose X-ray Imaging: Advancements in low-dose X-ray technology are working to decrease radiation exposure while maintaining image quality; however, these systems usually tend to be bulky and not easily portable.
• Portable Ultrasound Devices are increasingly used for point-of-care diagnostics, but their ability to detect bone abnormalities is limited compared to more advanced imaging modalities.
• Near-infrared spectroscopy (NIRS): A technique that is gradually gaining acceptance as a non-invasive technique for tissue analysis, but not yet successfully exploited to detect bone cancer.
3. Machine Learning in the Diagnosis Process
• Medical imaging has shown various kinds of cancers that can be detected by machine learning algorithms such as CNNs. However, most of these solutions run on cloud processing and thus require large computational power, which limits their use in portable devices.
While classical imaging systems are large and immobile, this invention is engineered to be portable and user-friendly hence positioned toward its application use in remote or underserved regions. The small footprint enables healthcare practitioners to apply it for diagnostic purposes in diverse locations without requiring specialized infrastructure.
The portable device includes low dose X-ray, ultrasound (U/S), and near-infrared spectroscopy (NIRS) imaging. The multimodal imaging may provide detailed imaging data that could make it easier to capture signs of bone cancer in the very initial stages.
It is fitted with an onboard processor that processes imaging data in real-time, hence producing a diagnostic result shortly after collecting the data. This is quite different from the old ways where patients were made to wait for the results of their scans to be processed and interpreted by any available specialists.
It has an understandable touchscreen interface that helps the user navigate through imaging and shows information in a straightforward, easy-to-read format. These features allow a wider range of healthcare providers to use the device, reducing the need for specialized training. With advanced power management and thermal dissipation capabilities, the device can operate on a rechargeable battery for long hours. This ensures impeccable reliability and flawless performance in different environmental conditions.
The device includes automatic calibration routines and maintenance alerts, ensuring consistent accuracy and reducing downtime for repairs and adjustments.
Drawings
Fig1. Block diagram of proposed work
Detailed Description of the Invention
The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.
In any embodiment described herein, the open-ended terms "comprising," "comprises," and the like (which are synonymous with "including," "having" and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like. As used herein, the singular forms "a", "an", and "the" designate both the singular and the plural, unless expressly stated to designate the singular only.
The present invention relates to a portable device which includes low dose X-ray, ultrasound (U/S), and near-infrared spectroscopy (NIRS) imaging. The multimodal imaging may provide detailed imaging data that could make it easier to capture signs of bone cancer in the very initial stages.
The portable bone cancer detection system, comprises of:
• a low-dose X-ray technology to decrease radiation exposure while maintaining image quality;
• a portable ultrasound device to detect bone abnormalities;
• a Near-infrared spectroscopy (NIRS) to detect bone cancer;
• a high-performance microprocessor and advanced machine learning algorithms within the device for real-time analysis of imaging;
• a High-resolution CMOS sensors and sophisticated imaging components ensure high image quality with minimal radiation and power consumption;
• a user-friendly touch screen interface;
• a rechargeable lithium-ion battery enables the system to be used in remote or underserved areas independent of the electricity grid and a storage system; and
• wireless connectivity for transferring reports to doctors for further analysis.
The most significant innovation is the integration of low-dose X-ray, ultrasound, and NIRS within one portable platform. It is unique and highly practical to provide comprehensive diagnostics from one device rather than multiple separate devices, thus allowing for real-time data analysis and immediate results.
The distinguishing ability of this machine from the other techniques is the real-time data analysis and results, hence overriding the time taken to arrive at a conclusion by the traditional processing time and time elapsed before a diagnosis could be rendered.
Due to the advanced CMOS sensors and the low-dose X-ray technology, high-resolution imaging is always available while minimizing radiation exposure. In terms of safety and diagnosing power, it's second to none.
It has a user-friendly interface and automated calibration, hence becoming easier to use even for less-trained healthcare providers. Such demarcates it as a device to be used in various settings.
Combining the modalities in a single device reduces the need for several pieces of equipment from different imagings. The device allows mass production, thereby lowering its operating costs due to reduced complex and expensive maintenance practices.
Built-in data storage and connectivity options make it easy to manage data and consult from afar. This can especially be helpful for constant monitoring of patients and collaborative healthcare practices.
The development process of the portable bone cancer detection system comprises the followings steps:
• Literature Review: This is an extensive review of existing bone cancer detection technologies and methods, including the limitations of conventional imaging technologies such as X-ray, CT, and MRI.
• Technology Selection: Advanced imaging modalities-low-dose X-ray, ultrasound, and near-infrared spectroscopy (NIRS)-are selected based on their complementary strengths to detect bone anomalies.
• Sensor and Component Selection: Selected high-resolution CMOS sensors and other advanced imaging components to ensure high-quality imaging with minimal radiation exposure.
• System Integration: Designed a compact and lightweight device integrating the chosen imaging modalities and developed prototypes incorporating all necessary components, including the imaging unit, processing unit, user interface, power source, and data storage and connectivity modules.
• Software Development: Implemented advanced algorithms in developing software to support real-time image processing and analysis. It was ensured that an intuitive user interface was easy to interact with.
• Calibration and Testing: Conducted thorough calibration of the device to ensure accuracy and reliability and automated routine calibration to ensure consistent performance.
• Dataset Compilation: Gathered a comprehensive dataset of images of bone tissues, both healthy and cancerous, for training and validation of the algorithms implemented by the device.
• Algorithm Training: Trained the algorithms with machine learning on this compiled dataset to effectively detect bone cancer anomalies. Techniques employed for image analysis included the use of convolutional neural networks.
• Validation and Optimization: The algorithms were validated on other datasets, and their performance was optimized to achieve high diagnostic accuracy.
• Clinical Trials: Conducted field tests in various healthcare settings, including hospitals and clinics, to evaluate the device's performance in real-world conditions.
• User Feedback: Gathered feedback from healthcare providers and patients to refine the device's design and functionality. Made adjustments based on practical use cases and user experiences.
The results achieved from the portable system are as follows:
1. High Diagnostic Accuracy
A publication did an exemplary job and showed high diagnostic accuracy in detecting bone cancer, almost as high as conventional imaging. The combination of several imaging modalities enhanced the overall reliability of the diagnosis.
2. Immediate Diagnostic Outcome
The real-time processing nature of this device enabled doctors to retrieve the outcome of the diagnostic operation quite promptly, thereby significantly shortening the time taken to detect bone cancer. This was very useful in cases where healthcare provision was urgent or when the patient did not have immediate access to healthcare.
3. Lower Exposure to Radiation
Moreover, it employed low-dose X-ray technology to minimize radiation exposure, one of the most significant safety issues associated with conventional X-ray and CT scanning. In return, it provided high-quality images at a standard patient safety level.
4. Ease of Use
The equipment deployed a touchscreen interface and automatic calibration routines to allow proper use even by those with minimal training among healthcare providers. Its intuitive design enabled the quick adoption and proper utilization in various healthcare settings.
5. Portability and Accessibility
The compact and lightweight design of the device enabled its use in remote and underserved areas, making advanced bone cancer diagnostics more accessible. The portable form factor allowed for onsite diagnostics, reducing the need for patients to travel to specialized facilities.
6. Cost-Effectiveness
Integrating multiple imaging modalities into a single device reduced the need for separate, expensive equipment, lowering the overall cost of bone cancer diagnostics. The device's scalability for mass production further enhanced its affordability.
7. Comprehensive Data Management
Built-in data storage and wireless connectivity facilitated seamless data management and remote consultation with healthcare professionals. The ability to store and transfer diagnostic data improved patient monitoring and collaborative healthcare practices.

, Claims:1. The portable bone cancer detection system, comprises of:
a) a low-dose X-ray technology to decrease radiation exposure while maintaining image quality;
b) a portable ultrasound device to detect bone abnormalities;
c) a Near-infrared spectroscopy (NIRS) to detect bone cancer;
d) a high-performance microprocessor and advanced machine learning algorithms within the device for real-time analysis of imaging;
e) a High-resolution CMOS sensors and sophisticated imaging components ensure high image quality with minimal radiation and power consumption;
f) a user-friendly touch screen interface;
g) a rechargeable lithium-ion battery enables the system to be used in remote or underserved areas independent of the electricity grid and a storage system; and
h) a wireless connectivity for transferring reports to doctors for further analysis.
2. The portable bone cancer detection system as claimed in the claim 1, wherein device offers wireless connectivity options that include Bluetooth, Wi-Fi, and a USB for easy data transfer and remote consulting with other healthcare providers.
3. The portable bone cancer detection system as claimed in the claim 1, wherein integration of advanced imaging technologies coupled with real-time data processing produced a highly reliable diagnostic tool for detecting bone cancer in its earliest stages.
4. The portable bone cancer detection system as claimed in the claim 1, wherein machine learning algorithm trained by:
• Dataset Compilation: Gathered a comprehensive dataset of images of bone tissues, both healthy and cancerous, for training and validation of the algorithms implemented by the device.
• Algorithm Training: Trained the algorithms with machine learning on this compiled dataset to effectively detect bone cancer anomalies. Techniques employed for image analysis included the use of convolutional neural networks.
• Validation and Optimization: The algorithms were validated on other datasets, and their performance was optimized to achieve high diagnostic accuracy.
5. The portable bone cancer detection system as claimed in the claim 1, wherein system further conducted field tests in various healthcare settings, including hospitals and clinics, to evaluate the device's performance in real-world conditions and Gathered feedback from healthcare providers and patients to refine the device's design and functionality. Made adjustments based on practical use cases and user experiences.

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