Performance Analysis of Medical Image Registration Of Optical Mapping Dataset Using MIRT ToolBox
Tools:
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Software — > Matlab-R2023a or above with MIRT Toolbox
OS –> Windows-10 (64-bit) or above
Project workflow:
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Ø Initially, we load and collect images from pig_evolve.npy Dataset.
Ø Then, we register two images using B-spline based Medical Image registration toolbox MIRT.
Ø Next, we pre-process the registered images to measure similarities.
Ø Next, we perform the Transformation and deformation process to optically make frames for analysing the images.
Ø Next, we implement the Gradient Descent algorithm to optimize the images.
Ø Finally, we plot performance for the following metrics:
1. Number of Epochs vs. Accuracy (%)
2. Number of Epochs vs. Precision(%)
3. Number of Epochs vs. F1 score(%)
4. Number of Epochs Vs. Recall(%)
Note:
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1) If the plan does not meet your requirements, provide detailed steps, parameters, models, or expected results in advance. Once implemented, changes won’t be possible without prior input; otherwise, we’ll proceed as per our implementation plan.
2) If the plan satisfies your requirement, Please confirm with us.
3) Project based on Simulation only, not a real time project.
4) Please understand that any modifications made to the confirmed implementation plan will not be made after the project development.
