Modeling and Simulink of Image Registration of Optical Mapping Data for Cardiac Analysis
Implementation plan:
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Step 1: Initially, we load Pig_Evolve.npy file as dataset.
Step 2: Then, we register images using B-spline based Medical Image registration technique.
Step 3: Next, we pre-process the registered images to measure similarities.
Step 4: Next, we perform the Transformation and deformation process to optically make frames for analyze the images.
Step 5: Next, we implement the Gradient Descent algorithm to optimize the images.
Step 6: Finally, we plot performance for the following metrics:
6.1: Number of Epochs vs. Accuracy (%)
6.2: Number of Epochs vs. Precision(%)
6.3: Number of Epochs vs. F1_score(%)
6.4: Number of Epochs Vs. Recall(%)
Software Requirements:
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1. Development Tool: Matlab-R2023a or above
2. Operating System: Windows-10 (64-bit) or above
Note:
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[1] If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.
[2] Please note that this implementation plan does not include any further steps after it is put into implementation.
[3] Please understand that any modifications made to the confirmed implementation plan will not be made before or after the project development.
[4] If the above plan satisfies your requirement please confirm with us.
