Image Acquisition
The journey begins with the acquisition of high-resolution MRI images. These images are captured using standard MRI techniques
Image Pre-processing
Once acquired, the MRI images undergo a pre-processing phase. This step ensures that the images are optimised for analysis, enhancing clarity and removing any artefacts that could interfere with accurate interpretation
TeleM-net Neural Network Analysis
At the heart of TeleMRI's process is the TeleM-net neural network, a sophisticated AI model specifically modified for MRI image analysis. Unlike conventional models, TeleM-net excels in identifying and segmenting complex structures within the MRI images. This advanced capability allows for precise delineation of intricate details, crucial for accurate diagnosis and treatment planning
Segmentation and Characterization
Leveraging the modified TeleM-net, TeleMRI performs detailed segmentation of the MRI images. This involves accurately identifying and outlining various anatomical structures and any pathological findings, such as tumours, lesions, or other abnormalities. The AI's deep learning algorithms enable it to recognize subtle distinctions in the images, providing insights that go beyond the capabilities of traditional analysis methods
DICOM Viewer Integration
The segmented and analysed images are then integrated into the TeleMRI Dicom Viewer application. This specialised software allows healthcare professionals to view and interact with the segmented images, offering a comprehensive understanding of the diagnosis. The Dicom Viewer is equipped with several modules tailored to specific diagnostic needs, including:
- Intervertebral Disc Segmentation
- Brain Tumour Segmentation
- Brain White Matter Lesions in Multiple
- Sclerosis
- Spinal Cord Lesion Segmentation
- Rectal Tumour Segmentation
Each module is designed to provide high-precision segmentation, offering detailed insights into the pathology and aiding in the formulation of effective treatment plans
Diagnostic Insights and Reporting
The final step in the TeleMRI process is the generation of detailed diagnostic reports. These reports synthesise the AI's analysis, offering clear, actionable insights into the patient's condition. The reports are designed to be easily interpretable by medical professionals, facilitating informed decision-making and personalised treatment planning. Through this innovative process, TeleMRI harnesses the power of AI to overcome traditional limitations in medical imaging, offering a new level of diagnostic accuracy and efficiency. By providing detailed insights into complex pathologies and integrating seamlessly with medical workflows, TeleMRI is setting a new standard for MRI analysis, one image at a time