DATA & SOFTWARE

MOR DATA

LINEAR TIME INVARIANT SYSTEM

BI-LINEAR SYSTEM

MACHINE LEARNING DATA

WEB BASED SOFTWARE

Upload 3D MRI Files:

• Clinicians start by accessing the website's user interface, where they navigate to the designated upload section. Here, they select the 3D MRI files they wish to analyze, either from their local device or a networked storage location. Once chosen, the selected files are uploaded to the website's server. During the upload process, the backend system ensures the integrity and compatibility of the uploaded files, performing any necessary preprocessing tasks to prepare them for analysis.

Select Anatomy:

• Following the successful upload of the MRI files, clinicians are presented with a comprehensive list or visual representation of anatomical structures detected within the 3D data. This interface allows them to review and select the specific anatomical structures relevant to their diagnostic objectives. They meticulously navigate through the list or visual cues provided and mark the checkboxes, select from dropdown menus, or utilize other interactive elements to indicate their choices. This step is crucial as it informs the website's algorithm about the specific structures of interest, guiding the subsequent prediction process.

Prediction:

• Upon confirming the selected anatomical structures, clinicians proceed to initiate the prediction process by clicking the designated "Predict" button. Behind the scenes, the website's powerful algorithm, driven by advanced machine learning or deep learning models, commences its analysis of the uploaded MRI data. Leveraging the selected anatomical structures as focal points, the algorithm meticulously evaluates the intricate patterns and features within the volumetric data. Through a series of complex computations and pattern recognition techniques, it generates precise predictions for each slice of the 3D MRI data, aiming to accurately reconstruct the images with high fidelity.

Display Predicted Images:

• Once the prediction process reaches completion, the website dynamically presents the predicted images alongside their corresponding original slices of the 3D MRI data. Clinicians are provided with an intuitive interface that facilitates seamless navigation through the slices, allowing for side-by-side comparison between the predicted and original images. Visual aids such as color-coded overlays or annotations may be utilized to highlight areas of interest or discrepancies between the two sets of images. This comparative analysis empowers clinicians to meticulously evaluate the accuracy of the predictions and identify any potential variations or anomalies that warrant further investigation.

Download Predicted Images:

• Clinicians are afforded the convenience of downloading the predicted images of each slice for archival, documentation, or sharing purposes. They can opt to download individual slices or the entire set of predicted images, depending on their specific requirements. The downloaded images are typically offered in standard image formats such as JPEG or PNG, ensuring compatibility with a wide range of software applications and medical devices. This feature enables clinicians to seamlessly incorporate the predicted images into their medical reports, presentations, or educational materials, facilitating collaborative decision-making and enhancing the overall efficiency of their diagnostic workflows.